View source for Interoperability and Technology/Past Tech Dive Webinar Series


= 2022 Tech Dive Webinars =

==10 Nov 2022: "AWS for Research - Stepping Into the Cloud"==

The cloud is often seen as a binary alternative to local resources for research. This talk with Scott Friedman from Amazon Web Service (AWS) Higher Education Division explores how a hybrid approach enables many of the best elements of both local and cloud resources by addressing some key researcher challenges and concerns that surround them. 

aws.amazon.com

Presenter(s):
Scott Friedman, AWS

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==10 Oct 2022: "openEO - API for Earth Observation Workflows"==

openEO is a modern high-level API aiming at defining EO processing workflows independent from the infrastructure in which they are processed. It is based on the concept of virtual data cubes. A broad ecosystem of open-source client and server implementations has evolved around it.

• https://openeo.org – openEO project website

• https://api.openeo.org – openEO API

• https://processes.openeo.org – openEO process specifications

• https://openeo.cloud – openEO Platform

• https://github.com/Open-EO - open-source software on GitHub

Presenter(s):
Alexander Jacob, Eurac Research
Matthias Mohr, University of Muenster WWU

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==10 June 2022: "MAAP - NASA Multi-Mission Algorithm and Analysis Platform"==

MAAP is a collaborative effort between NASA and ESA to support above ground biomass research. MAAP brings together relevant data, algorithms and computing capabilities in a common cloud environment to address the challenges of sharing and processing data from field, airborne and satellite measurements.

Link: https://earthdata.nasa.gov/esds/maap

Presenter(s):
George Chang - MAAP Platform Development Lead

Hook Hua - MAAP System Architect

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==14 April 2022: "GeoCollaborate - Shared Geospatial Data Platform"==

GeoCollaborate - Geospatial Data Collaboration Platform

Info Link: Put your geospatial data to work (geocollaborate.com) 

Description:

GeoCollaborate overview.

Stormcenter Communications was ESIP's 2019 Partner of the Year and is a big contributor to ESIP, primarily as lead of the ESIP Disasters Cluster.  <nowiki>https://youtu.be/Zhv_Q4FOwrw</nowiki>. Dave and Ellen Prager will provide a demonstration of GeoCollaborate and conduct a deep dive describing the compute infrastructure and bespoke tools driving the platform.

GeoCollaborate®, is a patented collaborative software platform, that achieves total and true commonality and permits collaboration across all stakeholders accessing data using interactive web maps, GIS platforms, or Common Operating Pictures (COPs).  In the same way that map services bring real-time map information to maps, GeoCollaborate® is a network service that permits real-time data sharing and collaboration across an unlimited number of disparate web maps.  The concept behind GeoCollaborate® is simple: it lets anyone securely author the content of a lead web map, share content, and collaborate in real time or offline with other follower web maps with nothing more than a browser and a network connection. 

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==10 March 2022: "National Park Service - Web Mapping Tools”==

National Park Service - Web Mapping Tools

NPMap - GIS, Cartography & Mapping (U.S. National Park Service) (nps.gov)

Topic:

The NPMap suite of web map tools enables NPS employees and partners to tell the story of the nation's most cherished places using innovative mapping techniques and technologies. Maps built using NPMap Builder, Park Tiles, NPMap.js, and the NPMap Symbol Library make these places come alive for visitors to our national parks.

Presenter(s):Jim McAndrew

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/1IHEYqwe2QQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==10 February 2022: "The National Map – Image Delivery Platform”==
Time: Thursday, February 10 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Virtual Meeting:'''

'''Title:'''

'''The National Map – Image Delivery Platform'''

'''Orthoimagery Meta Raster Format (MRF) - Spatial Data Servic'''

'''Next Event :''' '''3pm EDT Thu Feb 10'''

'''Topic:'''

Developed as a more efficient data delivery mechanism for high resolution imagery (also employed by NASA/EROS for Landsat imagery) the system provides a highly available service that reduces the need for costly image file storage.

'''Presenter(s): Liz Huselid and Kwin Keuter'''

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/_RN1bxs6N0w" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==13 January 2022: "Water Data Visualization”-CANCELLED==
Time: Thursday, January 13 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

Virtual Meeting:

Topic:

USGS Water - Data Visualization and Information Dissemination

Presenter(s):

Cee Nell - Data Visualization Specialist USGS VizLab

Lindsay Platt - Data Scientist USGS Integrated Information Dissemination Division

= 2021 Tech Dive Webinars =

==09 December 2021: "rOpenSci - Open and Reproducible Research Using Shared Data and Re-Usable Software”==
Time: Thursday, December 9 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Virtual Meeting:'''

'''Topic:'''

We are pleased to host Stefanie Butland, and Carl Boettiger from rOpenSci.

Stefanie will provide an introduction and overview of the rOpenSci community and recent projects.

rOpenSci creates technical and community infrastructure for open and reproducible research in the R language.  It features a curated collection of over 300 R packages, an open software peer review system for community-contributed packages, a platform for building, testing, and publishing R packages, and documentation, and community engagement programs to support scientific R users and developers.

'''About The Presenter(s):'''

'''Stefanie Butland'''

Community Manager

[[Mailto:stefanie@ropensci.org|stefanie@ropensci.org]]

'''Carl Boettiger'''

Co-Founder and Strategic Advisor

[[Mailto:cboettig@berkeley.edu|cboettig@berkeley.edu]]

=='''14 October 2021: "OpenTopography - High Resolution Topography Data and Tools ”'''==
Time: Thursday, October 14 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

We are pleased to host Chris Crosby, co-founder and co-PI of OpenTopography.  OpenTopography is an NSF funded data facility, with a mission to facilitate access to earth science oriented high resolution topography data, tools and resources.

'''Summary:'''

Overview of OpenTopography.  Current projects and initiatives.  Recent data updates.  Creating 2D and 3D visualizations with the R-package, Rayshader.

'''About The Presenters:'''

'''Chris Crosby'''

Co-founder and co-PI of OpenTopography

[[Mailto:crosby@unavco.com|crosby@unavco.com]]

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/zoxCsZ_Uu68" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==09 September 2021: "TerrainR -  Generating 3D Landscape Visualizations Using R and Unity”==
Time: Thursday, September 9 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Summary:'''

We are pleased to host Mike Mahoney, a PhD candidate at SUNY-ESF, working on predictive modeling and visualization with a focus on natural systems. Mike has developed terrainr,  an R package with the capability to retrieve data from  USGS National Map services and perform transformations to produce 2D and 3D landscape visualizations using the Unity engine.

terrainr: R package with the capability to retrieve data from  USGS National Map services and perform transformations to produce 2D and 3D landscape visualizations

terrainr makes it easy to identify your area of interest from point data, retrieve geospatial data (including orthoimagery and DEMs) for areas of interest within the United States from the National Map family of APIs, and then process that data into larger, joined images or crop it into tiles that can be imported into the Unity rendering engine.

At the absolute simplest level, terrainr provides a convenient and consistent API to downloading data from the National Map.

'''About The Presenters:'''

'''Mike Mahoney'''

Graduate Researcher

SUNY-ESF

mike.mahoney.218@gmail.com

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/xWZ7QQMr_AQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==12 Aug 2021: "Developing an Open-Source Workflow and Toolset for Quantifying Lacustrine Sedimentation Using Publicly Available Data”==
Time: Thursday, August 12 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Summary:''' We are pleased to host Jake Gearon,  a graduate researcher pursuing his PhD Ph.D in the nexus of Sedimentology, Remote Sensing, and Informatics at Indiana University. Jake developed a data repository using AWS RDS that aggregates global lake level data from a number of distributed resources.  He has created a standardized data schema, a harvest mechanism to scrape data into a cloud-based data platform, and made the aggregated data available through AWS API Gateway.  To assist with access to and use of the data resource, Jake developed LakePy, a python package, that can be run within a Jupyter notebook.

In this month's presentation, Jake will provide an overview of the data pipeline, and demonstrate how to set up and use LakePy in a Jupyter notebook environment.

'''About The Presenters:'''

'''<small>Jake Gearon</small>'''

<small>Graduate Researcher</small>

<small>Indiana University</small>

<small>Sedimentology, Remote Sensing, and Informatics</small>

[[Mailto:jake.gearon@gmail.com|jake.gearon@gmail.com]]

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/N_kWZOf-OVA" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==10 June 2021: "USGS Hydro Network Linked Data Index Tools”==
'''Time:''' Thursday, June 10 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Summary:''' We are pleased to host Dave Blodgett, with the Integrated Modeling and Prediction Division of the USGS Water Mission Area and Anders, Anders Hopkins with the USGS Web Informatics and Mapping team, and Taher Chegini from the University of Houston. They will present on the Hydro Network Linked Data Index and a variety of client tools that work with it.

The Hydro Network-Linked Data Index (NLDI) is a system that can index data to NHDPlus V2 catchments and offers a search service to discover indexed information. Data linked to the NLDI includes active NWIS stream gages, water quality portal sites, and outlets of HUC12 watersheds. The NLDI is a core product of the Open Water Data Initiative and is being developed as an open source project.

'''Zoom Meeting Connection:''' https://us02web.zoom.us/j/81907776438?pwd=L2VWY1hBOEdROTlNODUxanZ4T1FhZz09

'''Meeting ID:''' 819 0777 6438

'''Passcode:''' 507948

Outline: 

*Intro and overview lecture format (Dave – 10 minutes)
*NLDI NWIS & WQP integration demo (Dave – 5 minutes)
*StreamStats use of NLDI context and catchment splitting demo  (Anders – 5 minutes)
*StreamStats down-slope trace and time of travel demo (Anders – 5 minutes)
*Cross-section and model data discovery and retrieval (Dave for Rich – 5 minutes)
*HyRiver overview lecture format (Taher – 5 minutes)
*HyRiver use of the NLDI demo (Taher – 5 minutes)
*nhdplusTools and dataRetrieval use of NLDI demo (Dave – 5 minutes)
*geoconnex.us and adding data sources to the NLDI (Dave – 5 minutes)
*Questions (10 minutes)

For more, see: https://waterdata.usgs.gov/blog/nldi-intro/

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/Wz8Y5G9oy-M" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnbviewer.jupyter.org%2Fgithub%2Fcheginit%2Fpangeo_showcase21%2Fblob%2Fmain%2Fnotebooks%2Fesip.ipynb&data=04%7C01%7Cevolkmer%40usgs.gov%7Cf1b9238f63844db60f7108d92ce569cd%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C637590186103948230%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=jvXa29JYbbMZQEI6dbxPYi3z64V4Z3U4H%2FakBYdQcfI%3D&reserved=0

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==13 May 2021: "Visualization of Landsat Data stored in the Cloud using LandsatLook 2.0."==
'''Time:''' Thursday, May 13 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Presentation Abstract''':

With existing USGS tools you can search for Landsat scenes, view thumbnail browse images of scenes, and download scene-based data, all derived from the 45+ year USGS archive of Landsat scene-based products. Now that Landsat scene data has been unpacked and stored in the cloud, LandsatLook 2.0 can access that data and present it to users in ways that were not previously possible. Thanks to the cloud-optimized GeoTiff format, we're no longer limited by scene-based display rules. Pixel mosaics in an area of interest can be queried and displayed without accessing entire scenes, effectively allowing users to select their own scene boundaries.

LandsatLook 2.0 presents a more pleasing view of the data using mosaicked pixels without scene boundaries. Users can also overlay scene, tile, or political boundaries to help determine an area of interest. Selecting and viewing band combinations of the available imagery is super simple. LandsatLook 2.0 also allows users to select and visualize supplied algorithms like NDVI. Users can display or download an animated GIF file of a selected time series over their selected areas of interest.  LandsatLook 2.0 can also apply quality band information to filter out cloudy pixels and replace them with valid pixels from a different collection date. LandsatLook 2.0 provides download capabilities in several ways. Users can download the GIF produced of your time series, they can also download data based on their selection criteria, narrowed by selecting certain bands or an area of interest. They are not limited to shapes of scenes anymore.

All of this is made possible by the storage of Landsat data in the cloud which allows on-the-fly manipulation of data for tremendous user benefit. The EROS team is excited about these new changes and we hope you are too.

'''Presenters:'''

<u>Kristi Kline</u>

<small>Project Manager, Landsat and Sentinel2 Archive and Access (LSAA) Project</small>

<small>U.S. Geological Survey (USGS)</small>

<small>Earth Resources Observation & Science (EROS) Center</small>

<small>Ph: 605-594-2585</small>

<small>Email: kkline@usgs.gov</small>

<u>Kelly Lemig</u>

<small>KBR | User Services Task Lead</small>

<small>Contractor to the U.S. Geological Survey (USGS)</small>

<small>Earth Resources Observation and Science (EROS) Center</small>

<small>Ph: 605-594-2744</small>

<small>Email: klemig@contractor.usgs.gov</small>

'''<u>Recording</u>''':<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/EtJc4X2ml4U" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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==8 April 2021: "Developing A New Geologic Map Database and 3D Geologic Model of The Great Basin and Rocky Mountains"==
'''Time:''' Thursday, April 8 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Zoom Meeting Connection:''' <nowiki>https://us02web.zoom.us/j/81907776438?pwd=L2VWY1hBOEdROTlNODUxanZ4T1FhZz09</nowiki>

'''Meeting ID: 819 0777 6438'''

'''Passcode: 507948'''

'''Summary:''' We are pleased to host Joe Colgan, Paco Van Sistine, and Kenzie Turner from the USGS Geosciences and Environmental Change Science Center (GECSC). The Geologic Framework of the Intermountain West project was launched with the goal of producing a new digital geologic map database and 3D geologic model of a transect from the Rio Grande rift to the Basin and Range, based on a synthesis of existing geologic maps with new targeted new mapping, subsurface data, and other data sets. This effort integrates disparate map data, resolves inconsistent stratigraphic assignments, and provides an integrated regional geologic map database to further the National Cooperative Geologic Mapping Program’s strategic goal of mapping the Nation. The activity has implemented  new techniques for digital compilation and new procedures for reviewing and publishing large digital geologic data sets.

'''About The Presenters:'''

<u>Joseph Colgan</u>

<small>Research Geologist- USGS</small>

<small>Geosciences and Environmental Change Science Center</small>

<small>jcolgan@usgs.gov</small>

<u>Kenzie Turner</u>

<small>Research Geologist- USGS</small>

<small>Geosciences and Environmental Change Science Center</small>

<small>kturner@usgs.gov</small>

<u>Darren (Paco) Van Sistine</u>

<small>Geographer- USGS</small>

<small>Geosciences and Environmental Change Science Center</small>

<small>dvansistine@usgs.gov</small>

'''Recording:'''<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/So43w-4jY10" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==11 March 2021: “Earth Data Extraction, Exploration and Visualization Using the AppEARS Platform” Tom Maiersperger & Chris Torbert==
'''Time:''' Thursday, March 11 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''Zoom Meeting:''' <nowiki>https://us02web.zoom.us/j/81907776438?pwd=L2VWY1hBOEdROTlNODUxanZ4T1FhZz09</nowiki>

'''Meeting ID: 819 0777 6438'''

'''Passcode: 507948'''

'''Summary:''' We are pleased to host Tom Maiersperger and Chris Torbert from the USGS Earth Resources Observation and Science (EROS) Center. Tom and Chris will provide an overview of the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS).  The Land Processes Distributed Active Archive Center (LP DAAC) operates as a partnership between the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) and is a component of NASA’s Earth Observing System Data and Information System (EOSDIS).  The LP DAAC processes, archives, and distributes land data products to hundreds of thousands of users in the earth science community. LP DAAC land data products are made universally accessible and support the ongoing monitoring of Earth’s land dynamics and environmental systems to facilitate interdisciplinary research, education, and decision-making.

The LP DAAC has developed the Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) tool, which is a data subsetter that provides data access and data value exploration for a variety of data from federal archives.  AppEEARS offers users a simple and efficient way to perform data access and transformation processes.  By enabling users to subset data spatially, temporally, and by layer, the volume of data downloaded for analysis is greatly reduced.

'''About the Presenters:''' 

<u>Thomas K. Maiersperger</u>

Project Scientist, Land Processes Distributed Active Archive Center (LP DAAC)

U.S. Geological Survey (USGS)

Earth Resources Observation & Science (EROS) Center

Email: [[Mailto:tmaiersperger@usgs.gov|tmaiersperger@usgs.gov]]

<u>Chris Torbert</u>

Land Processes Distributed Active Archive Center (LP DAAC) Manager (acting)

U.S. Geological Survey (USGS)

Earth Resources Observation and Science (EROS) Center

Email: [[Mailto:ctorbert@usgs.gov|ctorbert@usgs.gov]]

'''Recording:'''<br /><html><iframe width="560" height="315" src="https://www.youtube.com/embed/WY_760yX_a0" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==11 February 2021: "Elevation Data Processing At Scale - Deploying Open Source GeoTools Using Docker, Kubernetes"==

Josh Trahern & Andrew Bulen

'''Time:'''
Thursday, 11, February (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''GoToMeeting''': https://global.gotomeeting.com/join/977967029

'''Summary:''' We are pleased to host Josh Trahern (Project Manager) and Andrew Bulen (Lead Developer) from the USGS National Geospatial Technical Operations Center (NGTOC).

The scheduled presentation highlights the Lev8 and Valid8 Web Applications, produced by the Elevation team.  These tools are used by Production Operations to support the 3D Elevation Program (3DEP). The 3DEP dataset is a compilation of data from a variety of existing high-precision datasets such as LiDAR data, contour maps, USGS DEM collection, SRTM and other sources which are combined into a seamless dataset, designed to cover all the United States and its territories.

'''About the Presenters:''' The U.S. Geological Survey National Geospatial Technical Operations Center (NGTOC) provides leadership and world-class technical expertise in the acquisition and management of trusted geospatial data, services, and map products for the Nation. NGTOC supports The National Map as part of the National Geospatial Program (NGP).

'''Recording:'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/nYsteOP9CUE" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

= 2020 Tech Dive Webinars =

==10 December 2020: "Environmental Data Retrieval API" EDR-API Standard Working Group Members==

'''Time:'''
Thursday, 10, December (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''GoToMeeting''':
https://www.gotomeeting.com/join/533510693

'''Summary:''' The '''OGC API - Environmental Data Retrieval''' candidate standard is part of the OGC API suite of standards. [https://ogcapi.ogc.org/ OGC API standards] define modular API building blocks to spatially enable Web APIs in a consistent way. [http://openapis.org/ OpenAPI] is used to define the reusable API building blocks.

*Dave Blodgett (U.S. Geological Survey) and Chris Little (UK Met Office): general overview and talk about how EDR fits with API-Common an O&M
*Mark Burgoyne (UK Met Office): details of the API design and demonstration application
*Lei Hu (Wuhan University) demo and experience implementing
*Steve Olson and Shane Mill (U.S. National Oceanic and Atmospheric Administration) Demo and plans for EDR
*Tom Kralidis (Meteorological Service of Canada and pygeoapi) demo and the future of EDR in pygeoapi

[http://docs.opengeospatial.org/DRAFTS/19-086.html See the draft specification here.]

[https://github.com/opengeospatial/ogcapi-environmental-data-retrieval EDR github repository here.]

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/URVvMioUpZc" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

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==12 November 2020: "OGC API Update" Gobe Hobona==

'''Time:'''
Thursday, 12, November (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)

'''GoToMeeting''':
https://www.gotomeeting.com/join/533510693

'''Summary:'''
This presentation will describe an emerging suite of Web Application Programming Interface (API) standards by the Open Geospatial Consortium (OGC). The OGC API standards define modular API building blocks to spatially enable Web APIs in a consistent way [https://ogcapi.ogc.org]. The standards make use of the OpenAPI specification for defining API building blocks that describe consistent behavior for accessing resources such as vector feature data, coverage data, metadata records, tiled data, tiled maps, and geospatial processes.  The presentation will introduce the standards and also cover the utility of the standards in supporting Earth Science. Examples from several recent and current projects will be shown to demonstrate how Earth Scientists can make use of the standards.  

'''About the Presenter:'''
Dr. Gobe Hobona is the OGC's Director of Product Management, Standards. In this role he manages coordination between Standards Working Groups (SWGs) and set priorities for standards development (in cooperation with SWG chairs). He also provides oversight of OGC Application Programming Interface (API) evolution and harmonization activities. He holds a PhD in Geomatics from Newcastle University. He also holds a Bachelor of Science with Honours in Geographic Information Science from Newcastle University.  He is a professional member of both the Royal Institution of Chartered Surveyors (RICS) and the Association for Computing Machinery (ACM).

More: https://ogcapi.ogc.org/

'''Recording:''' 

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/3y46zovMsvo" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

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==8 October 2020: "Quantifying and Communicating Climate Change Risk at First Street" Ed Kearns==

'''Summary:'''
The First Street Foundation is quantifying and communicating the flood and inundation risks posed by a changing environment. First Street has created a nation-wide assessment of flood risk for the contiguous United States (CONUS) and the District of Columbia, and is now sharing that assessment for free with the public through Flood FactorTM. Risk scores for each of the approximately 142 million properties in CONUS were built upon open data from the National Oceanic and Atmospheric Administration (NOAA), the United States Geological Survey (USGS), the US Army Corps of Engineers (USACE), and the Federal Emergency Management Agency (FEMA). Flood risk from rivers, precipitation, sea level rise, and coastal storms have been combined into a single risk assessment methodology to raise individuals' awareness of their risks, and empower them to take steps to reduce their current and future flood risk exposure.

'''Recording:''' 

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/0hQarFk9tFs" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

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==10 September 2020: "SELFIE and geoconnex.us update" Dave Blodgett==

'''Summary:'''
This month, I’ll be providing an update on the outcomes of the Second Environmental Linked Features Interoperability Experiment (<nowiki>https://github.com/opengeospatial/SELFIE</nowiki>) and a project using the SELFIE outcomes, <nowiki>https://geoconnex.us</nowiki>. The SELFIE project explored a Web architecture for linking environmental features and observational data with a focus on adoptability and W3C spatial data on the Web best practices. It is wrapped up and in review with the OGC Geosemantics Domain Working Group. Geoconnex.us, US-focused effort being developed by the Ineternet of Water Project at Duke and USGS Water Mission Area, is building on the outcomes of SELFIE to build a system of linked data and knowledge network of earth science data. 

'''Slides:'''
Blodgett, David (2020): IT&I Tech Dive: Second Environmental Linked Features Interoperability Experiment. ESIP. Presentation. https://doi.org/10.6084/m9.figshare.12937445

'''Recording:''' 

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/gBqOV4c_QB8" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==13 August 2020: "ESIP Summer Meeting Highlights"==

'''Time'''
Thursday, 13, August 2020 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific)
==11 June 2020: "ESIP Collaboration Infrastructure 2.0" Erin Robinson, Ike Hecht, Lucas Cioffi, and Sheila Rabun==

'''Summary:'''
ESIP has been a virtual organization for over 20 years with two in person meetings a year, but our collaborative infrastructure was lagging. Due to COVID-19, ESIP leadership decided to move our next two in-person meetings to virtual meetings ([https://www.esipfed.org/monday-updates/special-esip-update-2020-esip-summer-2021-esip-winter-meetings-going-virtual announcement]) and to invest funding that would have been spent on travel into the ESIP collaborative infrastructure. We are currently upgrading a few components: 

*Mediawiki upgrade from v1.19 to 1.34 of the ESIP wiki
*Utilizing QiqoChat to bring together our asynchronous workspaces with our virtual conferences and meetings
*Becoming an ORCID member to gain access to ORCID API keyes to integrate ORCID authentication into the wiki

We will have three brief presentations on these components from [https://www.mediawiki.org/wiki/User:Tosfos Ike Hecht], [http://www.wikiworks.com/ WikiWorks] on the ESIP Wiki, [https://www.linkedin.com/in/lucascioffi/ Lucas Cioffi], [https://esip.qiqochat.com/ QiQoChat] lead developer on the technical side of QiQoChat and [https://orcid.org/0000-0002-1196-6279 Sheila Rabun], ORCID US Community Specialist on the ORCID API. [https://www.esipfed.org/about/leadership/staff/erin-robinson Erin Robinson], executive director of ESIP will introduce the session.  

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/gLTlTvGEjh8" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==14 May 2020: "CUAHSI HydroShare Update" Jerad Bales, Anthony Castronova, Jeff Horsburgh==

'''Summary:'''
HydroShare (https://www.hydroshare.org) is a platform for sharing hydrologic resources (data, models, model instances, geographic coverages, etc.), enabling the scientific community to more easily and freely share products, including the data, models, and workflow scripts used to create scientific publications. HydroShare also includes a variety of social functions, such as resource sharing within a specified group, publication with a DOI, and support for integrating external applications to view and use resources without downloading them. This presentation will provide an overview of HydroShare, details of CUAHSI Compute resources which can be accessed through HydroShare or in a standalone mode, and the metadata model used in HydroShare. This presentation will also describe some community resources held by HydroShare, including comprehensive information on recent hurricanes and the complete Critical Zone Observatory data library.

More info: https://www.hydroshare.org

'''About the presenters:'''

Jerad Bales is the Executive Director of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), Tony Castronova is Hydrologic Scientist at CUAHSI, and Jeff Horsburgh is an associate professor in the Civil and Environmental Engineering department at Utah State University

'''Slides:''' [https://www.hydroshare.org/resource/c2d7d41310af472aaec9dce57928487e/ On HydroShare.]

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/UvCDhHWFOT0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==9 April 2020: "Unidata Science Gateway" Julien Chastang==

'''Summary:'''
With the goal of better serving our community, Unidata is investigating how its technologies can best make use of cloud computing. The observation that science students and professionals are spending too much time distracted by software that is difficult to access, install, and use, motivates Unidata’s investigation. In addition, cloud computing can tackle a class of problems that cannot be approached by traditional, local computing methods because of its ability to scale and its capacity to store large quantities of data. Cloud computing accelerates scientific workflows, discoveries, and collaborations by reducing research and data friction. We aim to improve “time to science” with the NSF-funded Jetstream cloud. We describe a Unidata science gateway on Jetstream. With the aid of open-source cloud computing projects such as OpenStack, Docker, and JupyterHub, we deploy a variety of scientific computing resources on Jetstream for our scientific community. These systems can be leveraged with data-proximate Jupyter notebooks, and remote visualization clients such as the Unidata Integrated Data Viewer (IDV) and AWIPS CAVE. This gateway will enable students and scientists to spend less time managing their software and more time doing science.

More info: https://science-gateway.unidata.ucar.edu/

Slides: https://doi.org/10.6084/m9.figshare.12124065.v1

'''About the presenter:'''
I am a scientific software developer for the Unidata Program Center at UCAR (University Corporation for Atmospheric Research) in Boulder, Colorado. I have been employed at UCAR  since 1999 and at Unidata since 2010. I obtained a bachelor's degree in molecular, cellular and developmental biology in 1994 and a master's degree in computer science in 2000. I am passionate about the application of computing technology to science and math. During my employment at Unidata I have advocated for open-source, cloud computing and Python related technologies. I began at Unidata as a software developer supporting the Integrated Data Viewer (IDV). More recently, I have been focused on Unidata science gateway efforts with the objective of facilitating science for the Unidata community with web technologies.

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/hdGu8XPW6Rg" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==12 March 2020: "DGGS in action: provision of rapid response during Australian bushfires and other applications"==

'''Speakers'''
Shane Crossman and Irina Bastrakova

'''Summary'''
Everything has a location. Location can be defined using descriptive terms (e.g. place names), geometry (e.g. geographic coordinates) and/or index notations (e.g. statistical boundaries). However, existing approaches and disconnected infrastructures limit our ability to discover, access and integrate spatial data across organisation and jurisdiction boundaries to produce up-to-date reliable information. The Location Index project (LOC-I) aims to introduce a consistent way to access, analyse and use location data to support the effective integration of socio-economic, statistical and environmental data from multiple data providers to support the spatially enabled delivery of Government policies and initiatives.
 
The devastation caused by the Australian Bushfires highlighted the need for a new approach for rapid data integration. The total burnt area during Autumn-Summer 2019-2020 is 72,000 square miles, which is an equivalent to a half of Montana or North Dakota and Delaware areas combined. Rapid response in provision of information on areas affected by the bushfires was required to support evaluation of the impact, and also planning the recovery process and support for families, businesses and the environment. This presentation will discuss application of the Discrete Global Grid System (DGGS) in bringing together diverse complex information from multiple sources to support the response process. The presentation will also discuss testing of the DGGS capability in other use cases.

Slides here: https://doi.org/10.6084/m9.figshare.12032592.v1

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/AF_9JBuPdHI" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==13 February 2020: "Urban Flooding Open Knowledge Network": Mike Johnson==

We’re back this month with a webinar on the Urban Flooding Open Knowledge Network project from Mike Johnson, a graduate student from UC Santa Barbara. This is an exciting stakeholder-driven knowledge network project with emphasis on prototyping interfaces and web resources, some of which Mike will demonstrate for us.

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/HuJBKp0yCOo" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

= 2019 Tech Dive Webinars =

==12 December 2019: "Location Integration Project -- DGGS and Linked Data": Matthew Purss and Shane Crossman (postponed)==

'''Summary'''
Following presentations on DGGS and similar technologies for indexing, this presentation will explore use cases and technical implementations for using DGGS and linked data together in the Loc-I project.

==14 November 2019: "Location Integration Project": Matthew Purss and Shane Crossman==

'''Summary'''
Everything has a location. Location can be defined using descriptive terms (e.g. place names, suburb names, and rivers), position and geometry (e.g. geographic coordinates like latitude and longitude) and/or index notations (e.g. mesh block or parcel identifiers). A street address is useful for service delivery; land parcels for revenue raising and investment; coordinates and grids for positioning and monitoring changes in the landscape; various administrative boundaries for law enforcement and service management; and statistical (e.g. health, society or economy) information to analyse and improve life in Australian. However, existing approaches and disconnected infrastructures coupled with the myriad of ways to describe and store location information limit our ability to discover, access and integrate spatial data across organization and jurisdiction boundaries to produce reliable and actionable information. The Location Index project (LOC-I) aims to introduce a consistent way to access, analyse and use location data to support the effective integration of socio-economic, statistical and environmental data from multiple data providers to support the spatially enabled delivery of Government policies and initiatives.
 
The flexible, and standards based, spatial data infrastructures being developed by Geoscience Australia and its partners under LOC-I include Internet of Things (IoT), Linked Data and Discrete Global Grid Systems (DGGS) technologies integrated with cloud-based data discovery and access tools. This will enable LOC-I to democratize spatial data applications, where people will be able to do spatial data integration operations without needing GIS specialists. This presentation will provide an overview of LOC-I, DGGS and how DGGS technologies can be used as a tool to spatially enable and integrate socio-economic and geospatial data together.

http://locationindex.org

[http://wiki.esipfed.org/images/f/fb/Loc-I_webinar_-_15Nov2019.pptx| Download the slides here.]

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/fRSYsuNP1X0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==10 October 2019: "ELFIE: Environmental Linked Features Interoperability Experiment":==

'''Summary'''
This webinar will provide an update on activities of the OGC Environmental Linked Features Interoperability Experiment (ELFIE) and a preview of activities of the Second ELFIE (SELFIE). This will be an interactive demonstration-based session focused on practical application of JSON-LD to link features and observations. 

Presenter: [https://www.usgs.gov/staff-profiles/david-l-blodgett David Blodgett, Civil Engineer, U.S. Geological Survey Water Mission Area]

[https://opengeospatial.github.io/ELFIE/ More info on ELFIE here.]

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/lvy9vdv96-s" frameborder="0" allowfullscreen></iframe></html>

==12 September 2019: "STARE: SpatioTemporal Adaptive Resolution Encoding for Scalable Integrative Analysis": Michael Rilee==

'''Summary'''
Title: STARE: SpatioTemporal Adaptive Resolution Encoding for Scalable Integrative Analysis

Abstract: The Earth Science enterprise has generated a great volume and variety of high-quality, high-spatiotemporal resolution data (e.g. level 1 and 2 swath data), that could be integrated to open wide arenas of new, improved scientific advances. Yet aligning and integrating different kinds of Earth Science data is a laborious process, leading most researchers to focus on more generic, high level data products that are more easily compared. Dealing with the great volume and variety is the goal of the NASA/ACCESS-17 STARE project. STARE is a unifying indexing scheme addressing variety and is well suited for applying distributed storage and computing resources to address volume. We will describe the STARE approach and how it relates to other geolocation schemes, e.g. DGGS or simulation grids.

Presenter: Michael Rilee, Ph.D., Rilee Systems Technologies LLC.

Bio: Michael Rilee, PI of the STARE project, has been involved with high-end computing and modeling and simulation for about 25 years. For about the past 5 years or so he has been researching advanced computing techniques for a range of Earth Science applications including parallel computing, array databases, regridding, kriging, and atmospheric chemistry. Before that he was involved with several NASA efforts involving spacecraft autonomy, on-board data processing, and high-end computing. He was initially trained in plasma astrophysics, receiving his Ph.D. from Cornell University.

[https://esip.figshare.com/articles/STARE_Spatiotemporal_Adaptive_Resolution_Encoding_for_Integrative_Compatibility_Across_Variety_of_Volume/8942291 See poster about STARE here.]
[http://odl.unl.edu/index.php/map_interface_user_guide/ See demo here.]
[https://www.researchgate.net/profile/Kwo-Sen_Kuo See related research here.]

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/uodeCiYc6Mg" frameborder="0" allowfullscreen></iframe></html>

==8 August 2019: "The Challenge of Location and How Discrete Global Grid Systems can enable Spatial Data Integration.": Matthew Purss==

'''Summary'''
Everything has a location. Location can be defined using descriptive terms (e.g. place names, suburb names, and rivers), position and geometry (e.g. geographic coordinates like latitude and longitude) and/or index notations (e.g. mesh block or parcel identifiers). A street address is useful for service delivery; land parcels for revenue raising and investment; coordinates and grids for positioning and monitoring changes in the landscape; various administrative boundaries for law enforcement and service management; and statistical (e.g. health, society or economy) information to analyse and improve life in Australian. However, existing approaches and disconnected infrastructures coupled with the myriad of ways to describe and store location information limit our ability to discover, access and integrate spatial data across organisation and jurisdiction boundaries to produce reliable and actionable information. The Location Index project (LOC-I) aims to introduce a consistent way to access, analyse and use location data to support the effective integration of socio-economic, statistical and environmental data from multiple data providers to support the spatially enabled delivery of Government policies and initiatives.
 
The flexible, and standards based, spatial data infrastructures being developed by Geoscience Australia and its partners under LOC-I include Internet of Things (IoT), Linked Data and Discrete Global Grid Systems (DGGS) technologies integrated with cloud-based data discovery and access tools. This will enable LOC-I to democratise spatial data applications, where people will be able to do spatial data integration operations without needing GIS specialists. This presentation will provide an overview of LOC-I, DGGS and how DGGS technologies can be used as a tool to spatially enable and integrate socio-economic and geospatial data together.

Dr. Matthew Brian John Purss is a Senior Advisor on Geospatial Standards at Geoscience Australia. He is a founding co-chair of the Open Geospatial Consortium's (OGC) Discrete Global Grid Systems (DGGS) Domain and Standards Working Groups. He is a geophysicist with over 20 years' experience in the exploration, research and government sectors and holds a PhD in Exploration Geophysics from Monash University where he studied grid based approaches to magnetic and electromagnetic modelling applications. Prior to initiating and leading the international standardisation of DGGS infrastructures.

http://locationindex.org

[[http://wiki.esipfed.org/images/c/c4/ESIP_DGGS_Webinar_presentation_2019_08_08.pptx|Download the slides here.]]

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/Gbe6-N_Zisw" frameborder="0" allowfullscreen></iframe></html>

==11 July 2019: "ADIwg Open Source Metadata Toolkit": Josh Bradley, Dennis Walworth==

'''Summary'''
Josh Bradley is a data manager for Fish & Wildlife Service, Science Data Applications and project manager for the ADIwg mdTools project.
Dennis Walworth is the data manager for the USGS Alaska Science Center and collaborator on the ADIwg mdTools project.

*[https://docs.google.com/presentation/d/e/2PACX-1vTAXbGlKL8QZ4G8pSHDOoeOLrfH3xWHNmspLeaMAocJI2zl0fKn5g-x7PAirekLAi3vImIL6752T0k7/pub?start=false&loop=false&delayms=3000&slide=id.p1 See slides here.]
*mdEditor website: https://www.mdeditor.org/
*Development version: https://dev.mdeditor.org/
*mdEditor User Manual: https://adiwg.gitbooks.io/mdeditor/content/
*GitHub Issues: https://github.com/adiwg/mdEditor/issues

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/ClRmCU2Ae5c" frameborder="0" allowfullscreen></iframe></html>

==6 June 2019: "Google Dataset Search: Facilitating data discovery in an open ecosystem.": Chris Gorgolewski==

'''Summary'''

There are thousands of data repositories on the Web, providing access to millions of datasets. National and regional governments, scientific publishers and consortia, commercial data providers, and others publish data for fields ranging from social science to life science to high-energy physics to climate science and more. Access to this data is critical to facilitating reproducibility of research results, enabling scientists to build on others’ work, and providing data journalists easier access to information and its provenance. In this talk, I will discuss recently launched Google Dataset Search, which provides search capabilities over potentially all dataset repositories on the Web. I will talk about the open ecosystem for describing and citing datasets that we hope to encourage and the technical details on how we went about building Dataset Search. Finally, I will highlight research challenges in building a vibrant, heterogeneous, and open ecosystem where data becomes a first-class citizen.

https://toolbox.google.com/datasetsearch 
https://www.blog.google/products/search/making-it-easier-discover-datasets/

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/1PSE2hQ7mBo?start=3" frameborder="0" allowfullscreen></iframe></html>

==9 May 2019: "The SpatioTemporal Asset Catalog (STAC) specification": Chris Holmes==

'''Summary'''

The SpatioTemporal Asset Catalog (STAC) specification is an emerging standard to make it easier to find geospatial information. It aims to enable a cloud-native geospatial future by providing a common layer of metadata for search and discovery, while playing well with the web and existing geospatial standards.

See the the [http://stacspec.org/ SpatioTemporal Asset Catalog (STAC) specification] web site here.

'''Time''': Thursday, 9, May, 2019 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/emXgkNutUTo" frameborder="0" allowfullscreen></iframe></html>


==11 Apr 2019: "Pachyderm": John Karabaic==

'''Summary'''

See the Pachyderm one pager here: https://cdn2.hubspot.net/hubfs/4751021/Business_One_Pager.pdf

"Pachyderm lets you deploy and manage multi-stage, language-agnostic data pipelines while maintaining complete reproducibility and provenance."

'''Time''': Thursday, 11, April, 2019 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker''': Michael Masters (Pachyderm) 
See Docs Here:
http://docs.pachyderm.io/en/latest/getting_started/local_installation.html  

Also see intro talk here: https://changelog.com/practicalai/23

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/za0JNgL4JGA" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></html>

==14 Mar 2019: "Integrating SciServer and OceanSpy to enable easy access to oceanographic model output": Mattia Almansi (Johns Hopkins)==

'''Time''': Thursday, 14, March, 2019 (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Summary''':  OceanSpy is an open-source and user-friendly Python package that enables scientists and interested amateurs to use ocean model data sets with out-of-the-box analysis tools.  OceanSpy builds on software packages developed by the Pangeo community (in particular xarray, dask, and xgcm). I will show how OceanSpy can be used on model outputs stored on the Johns Hopkins SciServer system, negating the need for the user to own a computing cluster or even download the data. OceanSpy accelerates and facilitates exploration (including visualization) of terascale data. It is designed to operate on petascale ocean simulations hosted by SciServer in the coming months.

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker''': Mattia is a PhD student at Johns Hopkins University under Prof. Tom Haine.  He's a physical oceanographer, primarily interested in the dynamics governing the circulation of the Subpolar North Atlantic. To address the targets of his research he uses high-resolution numerical simulations and available observations.

'''Links'''

*[https://github.com/malmans2/oceanspy OceanSpy Github Page]
*[http://www.sciserver.org/ SciServer web page]

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/GO_hNIcFw8o" frameborder="0" allowfullscreen></iframe></html>

==14 Feb 2019: "Cloud Native Geoprocessing of Earth Observation Satellite Data with Pangeo": Scott Henderson (University of Washington)==

'''Summary''': NASA has estimated that by 2025, it will be storing upwards of 250 Petabytes (PB) of its data using commercial Cloud services (e.g. Amazon Web Services [AWS]). This presentation will focus on efforts funded by a NASA ACCESS 2017 grant to transition the Earth Science community into Cloud computing by developing technologies that build on top of the growing Pangeo ecosystem. In particular, the integration of JupyterHub with Kubernetes and several high-level Python packages (i.e. Xarray, Dask, Rasterio, Intake, PyViz), are enabling Cloud-native workflows that circumvent the bottleneck of downloading large amounts of data. These tools work best with emerging Cloud-native storage solutions for satellite imagery (i.e. NASA’s CMR, STAC, COGs). In this presentation, Scott gives update on the Pangeo project and showcases a few example workflows using large public archives of optical and radar satellite data.

'''Speaker''': Scott Henderson has a PhD in Geological Sciences from Cornell University and is currently a postdoctoral fellow at the University of Washington eScience Institute. Scott studies geologic hazards with satellite-based synthetic aperture radar.

'''Links'''

*[https://docs.google.com/presentation/d/1evNXCddIllXUt4a5jKfmlO2197sp8T6I9L650cYZcsk/edit?usp=sharing Google Slides]
*[https://github.com/scottyhq/esip-tech-dive Landsat NDVI (data on AWS, compute on Google)]
*[https://github.com/pangeo-data/pangeo-tutorial-agu-2018 AGU 2018 Tutorial material (various examples)]
*[https://github.com/scottyhq/grfn_pangeo_demo Getting ready for NISAR data]
*[https://github.com/scottyhq/stac-intake-landsat STAC catalogs, Intake, mosaics]
*[https://medium.com/pangeo/cloud-native-geoprocessing-of-earth-observation-satellite-data-with-pangeo-997692d91ca2 blog post for context]

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/yQon6Wh-lN4" frameborder="0" allowfullscreen></iframe></html>

= 2018 Tech Dive Webinars =

==13 Dec 2018: "Developing JupyterLab Extensions": Ian Rose (Berkeley)==

'''Summary''': JupyterLab extensions can customize or enhance any part of JupyterLab. They can provide new themes, file viewers and editors, or renderers for rich outputs in notebooks. Extensions can add items to the menu or command palette, keyboard shortcuts, or settings in the settings system. Extensions can provide an API for other extensions to use and can depend on other extensions. In fact, the whole of JupyterLab itself is simply a collection of extensions that are no more powerful or privileged than any custom extension. In this talk Ian will demonstrate how to build a JuptyerLab extension. 

'''Time''': Thursday, 13 Dec, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker''': Ian Rose is a postdoctoral fellow at the Berkeley Institute for Data Science, where he is a core developer on Project Jupyter, working on JupyterLab.  He has a PhD in geophysics from Berkeley.

'''Links''':

*https://jupyterlab.readthedocs.io/en/stable/
*https://jupyterlab.readthedocs.io/en/stable/user/extensions.html
*https://jupyterlab.readthedocs.io/en/stable/developer/extension_dev.html

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/cUEutudPmAo" frameborder="0" allowfullscreen></iframe></html>


==8 November 2018: "Intake: Lightweight tools for loading and sharing data in data science projects": Martin Durant (Anaconda)==

'''Summary''': Intake is a set of free open-source Python tools that help load data from a variety of formats into familiar containers like Pandas dataframes, Xarray datasets, and more.  Boilerplate data loading code can be transformed into reusable Intake plugins.  Datasets can be described for easy reuse and sharing using Intake catalog files.  Martin will give an overview of Intake and demonstrate use via Jupyter Notebooks. 

'''Time''': Thursday, 8 November, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker''': Martin Durant is a data scientist and software developer at Anaconda who specializes in Python data engineering tools, instruction and solutions.  He also has a PhD in Astrophysics. 

'''Links''':

*https://intake.readthedocs.io
*https://github.com/ContinuumIO/intake

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/PSD7r3JFml0" frameborder="0" allowfullscreen></iframe></html>


==11 October 2018: "SpatioTemporal Feature Registry: ESIP idea campaign and working example in USGS": Sky Bristol (USGS)==

'''Summary''': Building a National Biogeographic Map, an analysis platform for exploring biodiversity conservation measures and stressors, sparked the need for a reliable data source with a wide variety of identified places. These need to be assembled in a sustainable and robust way that keeps track of provenance and processing steps so we can build reports for decisionmakers that are trustworthy and consistent. We started an idea campaign in the ESIP Lab with some questions we have about how best to do this work. This talk will share what we have in place so far, including a registry of sources, a data processing pipeline, an integrated index, a REST API, and a working web application. Technologies include USGS ScienceBase, PostgreSQL/PostGIS, ElasticSearch, Python Flask, and other Python processing codes using GDAL and other libraries.

'''Time''': Thursday, 11 October, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 
No live meeting, as something came up at the last minute and Sky can't make it.  He did record a 30 minute presentation, however.  See "Recording" below.  See also the sample Jupyter notebooks in the "Links" section below.

'''Speaker''': Sky Bristol is the branch chief for Biogeographic Characterization in the USGS Core Science Analytics, Synthesis, and Library Program. Unless he can be skiing bumps, he likes doing cool things to help people make better decisions using data.

'''Links''':
https://github.com/skybristol/notebooks/blob/master/SFR%20Exploration.ipynb


'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/J7T59-H_W4o" frameborder="0" allowfullscreen></iframe></html>

==9 August 2018: "EarthSim: Flexible Environmental Simulation Workflows Entirely Within Jupyter Notebooks": Dharhas Pothina (ERDC)==

'''Summary''': Building environmental simulation workflows is typically a slow process involving multiple  proprietary desktop tools that do not interoperate well. In this work, we demonstrate building flexible, lightweight workflows entirely in Jupyter notebooks.  The goal is to provide a set of tools that can easily be reconfigured and repurposed as needed to rapidly solve specific emerging issues. As part of this work, extensive improvements were made to several general-purpose open source packages, including support for annotating and editing plots and maps in Bokeh and HoloViews, rendering large triangular meshes and regridding large raster data in HoloViews, GeoViews, and Datashader, and widget libraries for Param. 

'''Time''': Thursday, August 9, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker''': 
Dharhas Pothina is the Associate Technical Director of the Information Technology Laboratory, US Army Engineer Research and Development Center, in Vicksburg, MS. He was formerly the Water Informatics Lead at the Texas Water Development Board. He holds a Ph.D in Civil Engineering from the University of Texas at Austin.

'''Links''':
https://pyviz.github.io/EarthSim/

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/etf8M_uW39E" frameborder="0" allowfullscreen></iframe></html>


==14 June 2018: "Analysis of Massive Underwater Video Data in the Cloud using Pangeo": Tim Crone (Lamont)==

'''Summary''': An open-source environment for parallel analysis of massive (100TB) image data in the Cloud is now available via the Pangeo environment, which allows you to apply the power of the Python ecosystem from your browser.  Technologies include JupyterHub, Kubernetes, Docker, and Dask distributed.  

'''Time''': Thursday, June 14, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Tim Crone is a marine geophysicist at Lamont-Doherty Earth Observatory studying spatial variations in the tidal triggering of microearthquakes within ridge systems, and problems in acoustics associated with high-temperature hydrothermal vents and seafloor seismic networks.  He has recently deployed the Pangeo framework on the Microsoft Azure Cloud.

'''Links''':

*https://pangeo-data.github.io

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/_6eeymc4c7g" frameborder="0" allowfullscreen></iframe></html>

==10 May 2018: "NetCDF-CF Advances - Simple Geometries, Swaths, and Groups"==

'''Speakers'''
Dave Blodgett (USGS), Tim Whiteaker (UT Austin), Aleksander Jelanek (HDF Group) and Daniel Lee (EUMETSAT)==

'''Summary''' 
Simple geometry (points, lines, and polygons) has now been accepted as part of the Open Geospatial Consortium’s NetCDF-CF specification. This a major enhancement to a widely used standard whose utility has previously been limited to time-series of point or (raster) coverage data only. Advances on Groups and Swaths will also be presented. 

'''Links'''

*https://github.com/cf-convention/cf-conventions/pull/115

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/79e3GC74y_w" frameborder="0" allowfullscreen></iframe></html>


==12 April, 2018: "Jetstream: A free national science and engineering cloud environment on XSEDE": Jeremy Fischer, Indiana University==

'''Summary''': Jetstream, a national science and engineering cloud, adds cloud-based, on-demand computing and data analysis resources to the national XSEDE cyberinfrastructure.  A description of Jetstream current and planned capabilities, and how to gain access, will be presented. 

'''Speaker(s)''': 
Jeremy Fischer is a Senior Technical Advisor at Indiana University.  He works primarily on the Jetstream project, as the technical evangelist getting researchers and educators on the system. In this role, he is  the jack of all trades doing unix sys admin work, cloud image maintenance, support, training, documentation, and anything else that needs to happen.

'''Links''':

*https://jetstream-cloud.org/about/index.php

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/-CGKHXvDVyM" frameborder="0" allowfullscreen></iframe></html>

==8 March, 2018: "Zarr: A simple, open, scalable solution for big NetCDF/HDF data on the Cloud": Alistair Miles, University of Oxford.==

'''Summary''': The motivation, current status and future plans for Zarr
will be discussed, along with a demo of basic functionality. 

'''Time''': Thursday, March 8, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Alistair Miles is the Head of Epidemiological Informatics
for the Kwiatkowski group at the University of Oxford. Before joining
the University of Oxford, Alistair was a research scientist at the
e-Science Centre at the UK Science and Technology Facilities Council,
where he was involved in a range of computing research projects,
primarily in the areas of Web and semantic technology, and also in the
engineering of production software systems.  He is the lead developer
for Zarr.

'''Links''':

*https://github.com/zarr-developers/zarr
*[https://www.youtube.com/watch?v=8WtaYvqhxHc 5 minute demo of Dask + Zarr + S3]

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/np_p4JBAIYI" frameborder="0" allowfullscreen></iframe></html>


==8 February, 2018:  "The National Data Service Labs Workbench": Craig Willis, NCSA==

'''Summary''': The National Data Service Labs Workbench is a platform designed to share, discover, evaluate, develop, and test research data management and analysis tools. Community members can recommend or contribute tools as well as drive the direction, and the Workbench is evolving into a platform for data access, education and training. 

'''Time''': Thursday, February 8, 2018, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Craig Willis is the Technical Coordinator for the National Data Service and a senior research programmer at the National Center for Supercomputer Applications (NCSA) at the University of Illinois.

'''Links''':

*http://www.nationaldataservice.org/
*https://www.workbench.nationaldataservice.org

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/WzZKpbwth_g" frameborder="0" allowfullscreen></iframe></html>


==11 January 2018:  "The Pangeo Project": Ryan Abernathy (Lamont) and Matthew Rocklin (Anaconda)==

'''Summary''':  Pangeo is a scalable, low-barrier-for-entry science platform, with cloud-optimized storage for large multidimensional datasets, such as simulation (met, ocean, hydrologic, climate) model output.   Technologies include JupyterHub, Kubernetes, Xarray, Dask, and Zarr. The Pangeo environment has been deployed on the NCAR Cheyenne supercomputer, on Google Cloud and on AWS. 

'''Speaker(s)''': 
Ryan Abernathy is a physical oceanographer at Lamont/Columbia, and Matthew Rocklin is a open-source developer for Anaconda.  

'''Links''':

*[https://github.com/pangeo-data/pangeo/issues pangeo discussion on github issues]
*[https://www.youtube.com/watch?v=rSOJKbfNBNk 3 minute demo of pangeo on Google Cloud]
*[http://matthewrocklin.com/blog/work/2018/01/22/pangeo-2 Blog post on pangeo]
*[http://matthewrocklin.com/blog/work/2018/02/06/hdf-in-the-cloud Blog post on big multidimensional data on the Cloud]

'''Recording'''
Note: This talk was given live at the ESIP winter meeting in North Bethesday, MD, USA.
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/mDrjGxaXQT4" frameborder="0" allowfullscreen></iframe></html>

==14 December  2017:  "Mini-Hack-Session: Developing and extending Jupyter Widgets": Jason Grout, Bloomberg==

'''Summary''': [https://github.com/jupyter-widgets/ipywidgets Jupyter widgets] (aka ipywidgets) enables building interactive GUIs for Python code using standard form controls (sliders, dropdowns, textboxes, etc.), as well providing a framework for building complex interactive controls such as interactive [https://github.com/bloomberg/bqplot 2d graphs], [https://github.com/maartenbreddels/ipyvolume 3d graphics], [https://github.com/ellisonbg/ipyleaflet maps], and [http://jupyter.org/widgets more]. Jason will walk through the thought and technical processes involved with developing new widget capability. 

= 2017 Tech Dive Webinars =

'''Time''': Thursday, Dec 14, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Jason Grout is scientific software developer at Bloomberg. He has been a member of the Project Jupyter team since it's inception in 2014 and a core developer for the Jupyter widgets project. He has a PhD in mathematics from Brigham Young University.

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/msJig1fr7Lw" frameborder="0" allowfullscreen></iframe></html>


==9 November 2017:  "Jupyter Widgets": Jason Grout, Bloomberg==

'''Summary''': [https://github.com/jupyter-widgets/ipywidgets Jupyter widgets] (aka ipywidgets) enables building interactive GUIs for Python code using standard form controls (sliders, dropdowns, textboxes, etc.), as well providing a framework for building complex interactive controls such as interactive [https://github.com/bloomberg/bqplot 2d graphs], [https://github.com/maartenbreddels/ipyvolume 3d graphics], [https://github.com/ellisonbg/ipyleaflet maps], and [http://jupyter.org/widgets more]. The latest developments in Jupyter widgets will be discussed as well as plans for the future.

'''Time''': Thursday, November 9, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Jason Grout is scientific software developer at Bloomberg. He has been a member of the Project Jupyter team since it's inception in 2014 and a core developer for the Jupyter widgets project. He has a PhD in mathematics from Brigham Young University.

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/CVcrTRQkTxo" frameborder="0" allowfullscreen></iframe></html>


==12 October 2017:  "Research Workspace: A web-based tool for data sharing, documentation, analysis, and publication"==

'''Speakers'''
Rob Bochenek, Axiom Data Science

'''Summary''': The Research Workspace (RW) is a web-based tool designed to support collaborative science and data management tasks throughout the data lifecycle. The RW provides a secure environment for organizing, sharing, documenting, and analyzing scientific datasets, and for publishing datasets through a DataONE member node. As a shared, cloud-based storage environment, the RW is designed for collaborative organization and management of project content. Multiple levels of access and read/write permissions provide transparent, controlled access and oversight to collaborators, funders, and project managers. A custom metadata editor exports standards-compliant metadata (ISO 19115-2 and 19110) and includes tools for easily adding keywords, taxonomic information, keywords, spatial boundaries, and contact information to metadata records. An integrated Jupyter notebooks environment allows R- and Python-based analysis scripts to be written in and run on the RW and to access data in the RW or any data set resource that is hosted within the Axiom Data Science cyber-infrastructure stack.   These notebooks serve as transparent, reproducible, and easily-shareable computational analysis and processing tools. Finally, datasets in the RW that have undergone sufficient curation and documentation can be exported to the Research Workspace DataONE Member Node for long-term preservation and broader discoverability and accessibility.  More information about the RW and it's capabilities can be found in the help documents - 

'''Time''': Thursday, October 12, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Rob Bochenek is an information architect at Axiom Data Science.  Rob has been developing data management and cyber infrastructure solutions for research programs and organizations for the past fifteen years. He is a graduate of the University of Michigan with a degrees in aerospace engineering and mathematics. Early in his career Rob spent five years at the Exxon Valdez Oil Spill Trustee Council leading the data management team in processing, documenting and organizing the informational products produced from the scientific research funded to understand and monitor the ecological effects of the oil spill. Based upon that experience, Rob founded Axiom in 2006 to develop more generalized and holistic solutions for data management. He specializes in scientific geospatial information management with applications to physical/biological modeling and decision support data warehouse knowledge systems.

'''Links''':

*http://www.axiomdatascience.com/about/
*https://researchworkspace.com/help/

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/YOQgAMo0pYc" frameborder="0" allowfullscreen></iframe></html>

==14 September 2017:  "JupyterHub and JupyterLab Developments": Brian Granger, Cal Poly==

'''Summary''': The latest developments in JupyterHub and JupyterLab will be discussed as well as the roadmap for the future.

'''Time''': Thursday, September 14, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Brian Granger is an Associate Professor of Physics at Cal Poly State University in San Luis Obispo, CA. He has a background in theoretical atomic, molecular and optical physics, with a PhD from the University of Colorado. His current research interests include quantum computing, parallel and distributed computing and interactive computing environments for scientific and technical computing. He is a core developer of the Jupyter project and is an active contributor to a number of other open source projects focused on scientific computing in Python.


'''Links''':

*https://jupyterhub.readthedocs.io/en/latest/
*https://github.com/jupyterlab/jupyterlab
*https://jupyter.org

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/K1AsGeak51A" frameborder="0" allowfullscreen></iframe></html>

==31 August 2017:  "ERDDAP 5 min Lightning Talks"==

'''Speakers```'''
Jenn Sevadjian, Jim Potemra, Conor Delaney, Kevin O'Brien, John Kerfoot, Stephanie Petillo, Charles Carleton, Eli Hunter

'''Summary''': A series of 5 minute lightning talks on how people are using ERDDAP to solve environmental data problems. 

'''Time''': Thursday, August 31, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': Jenn Sevadjian, Jim Potemra, Conor Delaney, Kevin O'Brien, John Kerfoot, Stephanie Petillo, Charles Carleton, Eli Hunter


'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/2-ydBByYB0M" frameborder="0" allowfullscreen></iframe></html>


==10 August 2017:  "ERDDAP: Easier access to scientific data": Bob Simons, NOAA==

'''Summary''': ERDDAP is a free, open source data server that gives you a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps.

'''Time''': Thursday, August 10, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Speaker(s)''': 
Bob Simons is an IT Specialist with NOAA's Environmental Research Division.

'''Links''':

*https://coastwatch.pfeg.noaa.gov/erddap/index.html

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/H541G1XXZrU" frameborder="0" allowfullscreen></iframe></html>

==13 July 2017:  "GeoServer Developments": Jody Garnett and Kevin Smith, Boundless==

'''Summary''': The latest developments in GeoServer will be discussed as well as plans for the future.

'''Time''': Thursday, July 13, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Jody Garnett is the Community Lead and Kevin Smith is the GeoWebCache Lead at Boundless.

'''Links''':

*http://geoserver.org/
*https://boundlessgeo.com/geoserver/

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/q4g0RXnadAU" frameborder="0" allowfullscreen></iframe></html>

==6 June 2017:  "Installing JupyterHub in the Cloud using Kubernetes Helm": Yuvi Panda==

'''Summary''': Yuvi Panda will show how to deploy JupyterHub in the Cloud using Kubernetes Helm.

'''Time''': Tuesday, June 6, 2017, (Time: 3PM Eastern, 2PM Central, 1PM Mountain, 12PM Pacific) 

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 
Yuvi Panda is a developer with 15 years of experience and 400+ followers on GitHub.  He worked formerly with Wikimedia, and is currently working with the Data Science Education Program at UC Berkeley to make it easier for people who don't consider
themselves programmers to write code. He has been very involved with creating the Helm Chart for JupyterHub. 

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/aUwMlSIjtdg" frameborder="0" allowfullscreen></iframe></html>



'''Links''':

*https://github.com/yuvipanda
*https://jupyterhub.readthedocs.io/en/latest/
*https://gitter.im/jupyterhub/jupyterhub
*https://daemonza.github.io/2017/02/20/using-helm-to-deploy-to-kubernetes/
*https://github.com/kubernetes/helm

==11 May 2017:  "TerriaJS: A Free, Open-Source Library for Building Web-based Geospatial Data Explorers": Kevin Ring, CSIRO/Data61, Australia== 

'''Summary''': The library behind the Australian National Map. 3D and 2D geospatial visualization based on Cesium and Leaflet. Visualise WMS, WMTS, WFS, KML, GeoJSON, CSV, CZML, GPX, and many more spatial formats out of the box, or easily add your own. Present a dynamic catalog from your existing WMS, ArcGIS, CKAN, CSW, Socrata, WMTS or WFS server, curate your catalog by hand, or use any combination thereof. Explore time-varying WMS layers, watch vehicles move smoothly across the map, and observe your CSV data change over time.

'''Time''': Thursday, May 11, 2017, (5:00pm ET | 4:00pm CT | 3:00pm MT | 2:00pm PT | 07:00am Sydney Time)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 

Kevin Ring is a Principal Software Engineer at CSIRO's Data61, and is the lead developer for TerriaJS. Previously, he helped found the Cesium project while working at Analytical Graphics, Inc. (AGI) and developed its streaming terrain and imagery engine.

'''Links''':

*http://terria.io/
*https://github.com/TerriaJS/terriajs
*http://nationalmap.gov.au/

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/videoseries?list=PL8X9E6I5_i8gmLI7r6huyQNr0oC1mCadA" frameborder="0" allowfullscreen></iframe></html>

==13 April 2017:  "Processing Planetary-Scale Data in the Cloud": Drew Bollinger, Development Seed== 

'''Summary''': Modern cloud-based infrastructure has had a huge effect on our ability to process, manipulate, and publish satellite imagery at scale. We'll discuss current methods of making imagery available across different platforms and how this is supported by the efforts of groups like AWS to publish open satellite data including MODIS, Landsat and more. 

'''Time''': Thursday, April 13, 2017, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Presenter''': 

Drew Bollinger is a data analyst and software developer, with experience running advanced statistical and spatial analysis on large and small data sets, as well as building visualizations for data storytelling.

'''Links''':

*https://github.com/sat-utils/sat-api
*https://github.com/sat-utils
*https://github.com/developmentseed/landsat-util
*https://libra.developmentseed.org/

'''Slides'''
http://drewbo.com/talks/esip-2017/#0

'''Recording'''
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/PO2z37XX1Gg" frameborder="0" allowfullscreen></iframe></html>

==9 March 2017:  "Introduction to Esri Story Maps": Christine White, Esri== 

'''Summary''': Today, multi-media communication plays a pivotal role in how an audience experiences, understands, and shares your message. Story Maps bring a narrative to life by weaving maps,  text, images, video, and other content into a creative and memorable story. Christine will share several examples of effective Story Maps and then walk through how you can create and configure your own.

'''Time''': Thursday, March 9, 2017, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 

Christine is a Technical Advisor and science team member at Esri. She loves using art and technology to communicate about the challenges and opportunities for our future. Christine also serves as the Vice President of ESIP. One of her favorite things about ESIP is how its members offer their unique perspectives (stories) and shared knowledge to collaborate.

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/wqQW2xVw0hA" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
Christine gave her presentation as a live StoryMap, available here:
 https://www.arcgis.com/apps/MapSeries/index.html?appid=5a99a82a19c84dbab641a22ddd3d329b

==9 February 2017:  "Web AppBuilder for ArcGIS": Derek Law, ESRI== 

'''Summary''': Web AppBuilder for ArcGIS is a pure HTML5/JavaScript-based application that allows you to create your own intuitive, fast, and beautiful web apps without writing a single line of code. The app uses new ArcGIS platform features and modern browser technology to provide both flexible and powerful capabilities such as 3D visualization of data. In addition, developers have an opportunity to create custom tools and themes through the extensibility framework.

'''Time''': Thursday, February 9, 2017, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 

Derek Law is an Product Manager at ESRI.  He has over 15 years experience with geospatial software and web application development.

'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/7uKbfMSX6Sw" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/esri-webapp-builder-derek-law-esri

==19 January 2017:  "Introduction to Google Earth Engine": Jess Walker, USGS== 

'''Summary''': Google Earth Engine is a cloud-based geospatial processing platform that unites multiple petabytes of publicly accessible imagery and a massive computational infrastructure with a web-based integrated development environment (IDE).  Users can harness the unprecedented combination of data and computing resources to conduct complex geospatial analyses on planetary scales. 

'''Time''': Thursday, January 19, 2017, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Speaker(s)''': 

Jessica Walker is a postdoctoral researcher with the USGS Western Geographic Science Center in Tucson, AZ.  Her research investigates the recovery of post-wildfire landscapes in Alaska and across the southwestern US using time series of remote sensing imagery. 


'''Recording'''

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/m47eHiOL0ZI" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/introduction-to-google-earth-engine-jessica-walker-usgs

==8 December 2016:  "Vector Tile Maps": Sam Matthews, Mapbox== 

'''Summary''': Vector tiles make huge maps fast while offering full design flexibility. They are the vector data equivalent of image tiles for web mapping, applying the strengths of tiling – developed for caching, scaling and serving map imagery rapidly – to vector data.  A general overview of vector tiles will be presented. 

'''Speaker(s)''': 

Sam Matthews is a Mapbox engineer  focused on improving the speed and reliability of maps. He works with the Mapnik team to generate vector tiles and maintains the upload pipeline behind Mapbox Studio. He is passionate about making open source tools as welcoming as possible through clear docs and zero assumptions.

= 2016 Tech Dive Webinars =

'''Time''': Thursday, December 8, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://www.youtube.com/watch?v=wN2-ms2PwBs
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/wN2-ms2PwBs" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/vector-tile-maps-sam-matthews-mapbox

==10 November 2016:  "Introducing 3D Tiles": Todd Smith, AGI== 

'''Summary''': 3D Tiles are an open specification for streaming massive heterogeneous 3D geospatial datasets. To expand on Cesium’s terrain and imagery streaming, 3D Tiles will be used to stream 3D content, including buildings, trees, point clouds, and vector data. 

'''Speaker(s)''': 

Todd Smith is the Cesium Product Manager, and helps define and manage the Cesium product line. Todd has been with the AGI team from the beginning and has been in the web mapping world for over 15 years.  He is a Penn State GIS graduate. 


'''Time''': Thursday, November 10, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://www.youtube.com/watch?v=0upb4E12CPE
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/0upb4E12CPE" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed

==13 October 2016:  "EarthCube Integration and Test Environment (ECITE)": Phil Yang, GMU== 

'''Summary''': An outgrowth of activities of the EarthCube Technology Architecture Committee (TAC)'s Testbed Working Group (TWG), ECITE provides an integration test-bed for technology and science projects for both EarthCube funded projects and community technology demonstrations.  ECITE consists of a seamless federated system of scalable and location independent distributed computational resources (nodes) across the US. The hybrid federated system provides a robust set of distributed resources utilizing including both public and private cloud capabilities. 

'''Speaker(s)''': Chaowei Phil Yang is a Professor at George Mason University where he founded the NSF Spatiotemporal Innovation Center with colleagues from Harvard and UC-Santa Barbara. He advised over 30 graduate students and has placed over 20 geoinformatics professors around the world.  His research interest are utilizing spatiotemporal principles to optimize computing infrastructure for geospatial science applications of national and international significance. (http://cpgis.gmu.edu/homepage/)

'''Time''': Thursday, October 13, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://www.youtube.com/watch?v=kYi-22hXY6k
<html><iframe width="560" height="315" src="https://www.youtube.com/embed/kYi-22hXY6k" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed


==8 September 2016:  "Apache Open Climate Workbench": Lewis McGibbney and Kyo Lee, NASA JPL/Apache OCW== 

'''Summary''': Apache [http://climate.apache.org Open Climate Workbench] (OCW) is an effort to develop software that performs climate model evaluation using model outputs from a variety of different sources the [http://esgf.llnl.gov/ Earth System Grid Federation], the [http://www.cordex.org/ Coordinated Regional Climate Downscaling Experiment], the [http://nca2014.globalchange.gov/ U.S. National Climate Assessment] and the [http://www.narccap.ucar.edu/ North American Regional Climate Change Assessment Program] and temporal/spatial scales with remote sensing data from [http://www.nasa.gov NASA], [http://www.noaa.gov NOAA] and other agencies. The toolkit includes capabilities for rebinning, metrics computation and visualization.

'''Speaker(s)''': Lewis McGibbney, NASA JPL/Apache OCW; currently a Data Scientist at the NASA Jet Propulsion Laboratory in Pasadena, California, Lewis works in the Computer Science and Data Intensive Applications Group (398M). He enjoys floating up and down the tide of technologies at the Apache Software Foundation having a real enthusiasm for Web Search and Information Retrieval in particular. You'll find him on community mailing lists including Nutch, Gora, Any23, OODT, Open Climate Workbench, Tika, Usergrid and a number of incubating mailing lists including CommonsRDF, HTrace and Joshua. Lewis is currently a Project Management Committee member and Committer on OCW.

'''Speaker(s)''': Huikyo Lee, NASA JPL/Apache OCW; currently a Climate Data Scientist at the NASA Jet Propulsion Laboratory in Pasadena, California, Huikyo has lead development of Regional Climate Model Evaluation System (http://rcmes.jpl.nasa.gov), an open-source software toolkit based on Open Climate Workbench to facilitate systematic evaluation of climate models using observational datasets from a variety of sources.

'''Time''': Thursday, September 8, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://www.youtube.com/watch?v=YA8SZiG9JZk

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/YA8SZiG9JZk" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/apache-ocw

==11 August 2016:  "Community Data Analysis Tools (CDAT)": Charles Doutriaux, LLNL== 

'''Summary''': CDAT is a rich set of visual-data exploration and analysis capabilities well-suited for earth science data analysis problems. It integrates many tools and technology to offer scientist a start-to-finish environment for their work. From reading in various data format, to publication-quality output of their analysis.

'''Speaker''': Charles Doutriaux is a senior Lawrence Livermore National Laboratory research computer scientist, where he is known for his work in climate analytics, informatics, and management systems supporting model intercomparison projects. He works closely with many international climate scientists and shares in the recognition of the Intergovernmental Panel on Climate Change 2007 Nobel Peace Prize. He has co-authored over 30 peer-reviewed articles. He presented his work to many scientific conferences. Aside from everything Python-related, his research interests include climate attribution and detection, visualization, and data analysis. Doutriaux has a master's degree in "Climate and Physico-Chemistry of the Atmosphere" from the University Joseph Fourier in Grenoble. He’s a member of the AGU and AMS. You can contact him at doutriaux1@llnl.gov.

'''Time''': Thursday, August 11, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://www.youtube.com/watch?v=nh2dqAHt5jY

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/nh2dqAHt5jY" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''

==13 July 2016:  "The NOAA OneStop Data Discovery and Access Framework Project": Ken Casey, NOAA/NCEI== 

'''Summary''': The OneStop Project is designed to improve NOAA's data discovery and access framework.  Focusing on all layers of the framework and not just the user interface, OneStop is addressing data format and metadata best practices, ensuring more data are available through modern web services, working to improve the relevance of dataset searches, and improving both collection-level metadata management and granule level metadata systems to accommodate the wide variety and vast scale of NOAA's data.  

'''Speaker''': Ken Casey is the Deputy Director of the Data Stewardship Division in the NOAA National Centers for Environmental Information (NCEI).  He leads the OneStop project, is active within NOAA's Big Earth Data Initiative and Big Data Project.  Ken serves on a variety of national and international science and data management panels including the US Group on Earth Observations Data Management Working Group and the Group for High Resolution Sea Surface Temperature (GHRSST) Science Team.  He co-chairs the Committee on Earth Observing Satellites SST Virtual Constellation and represents NCEI in the Federation of Earth Science Information Partners (ESIP).  He holds a PhD in Physical Oceanography from the University of Rhode Island. 

'''Time''': Wednesday, July 13, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Recording'''
https://youtu.be/wp7trIRFDOs

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/wp7trIRFDOs" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/noaa-one-stop-ken-casey-ncei

==9 June 2016:  "Dive into Docker":  Kyle Wilcox, Dave Foster and Shane StClair: Axiom Data Science== 

'''Summary''': Docker is an open platform for distributed applications that has taken the world by storm, making it easy to deploy services with complicated dependencies.  In this presentation you will learn what Docker is, why it will make your life easier, how to build a container, and how to install containers. 

'''Speaker''': Kyle Wilcox, Dave Foster and Shane StClair are developers at Axiom Data Science.  Axiom Data Science works with organizations to improve the long term management, reuse and impact of their scientific data resources.  They have built Docker containers for many of the key services used by the U.S. Integrated Ocean Observing System (US-IOOS). 

'''Time''': June 9, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Links''':

*http://www.docker.com/

'''Recording'''
https://youtu.be/mDR_x0E5az0

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/mDR_x0E5az0" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/dive-into-docker-kyle-wilcox-shane-stclair-dave-foster-axiom-data-science

==12 May 2016:  "Leaflet Time Dimension":  Biel Frontera, SOCIB==

'''Summary''': Leaflet.TimeDimension is a free, open-source Leaflet.js plugin that enables visualization of spatial data with a temporal dimension. It can manage different types of layers (WMS, GeoJSON, Overlay) and it can be easily extended.  It meet some common needs, enabling web maps using observational and forecasting layers generated by a THREDDS server (via ncWMS), animating trajectories of drifters, gliders, follow a simulated oil spill, and other time dependent mapping applications.  

'''Speaker''': Biel Frontera was trained as a mathematician, and has spent most of his career developing software.  He is a free software enthusiast and has worked for the last 3 years on data visualization and geospatial software issues for SOCIB, the Baleric Islands Coastal Observing and Forecasting System. 

'''Time''': May 12, 2016, (3:00pm ET | 2:00pm CT | 1:00pm MT | 12:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/533510693
*regular phone: United States: +1 (408) 650-3123, Access Code: 533-510-693

'''Links''':

*https://github.com/socib/Leaflet.TimeDimension
*http://apps.socib.es/Leaflet.TimeDimension/examples/
*http://www.socib.eu/

'''Recording'''
https://www.youtube.com/watch?v=US5FUUPqlww

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/US5FUUPqlww" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/leatlet-time-dimension-biel-frontera-socib

==21 Apr 2016:  "The New Geoplatform.gov":  Tod Dabolt, DOI==

'''Summary''': Geoplatform.gov was recently rebuilt from the ground up. Tod will talk about new features of the platform and plans for the future.

'''Speaker''': Tod Dabolt is the acting Geographic Information Officer for the Department of Interior, and the technical lead on Geoplatform.gov. 

'''Time''': April 21, 2016, (2:00pm ET | 1:00pm CT | 12:00pm MT | 11:00am PT)

'''Join meeting''': 

*computer, tablet or smartphone: https://www.gotomeeting.com/join/271218861
*regular phone: United States: +1 (872) 240-3212, Access Code: 271-218-861

'''Links''':

*http://www.geoplatform.gov

'''Recording'''
https://www.youtube.com/watch?v=f-ABUpy4Qvk

<html><iframe width="560" height="315" src="https://www.youtube.com/embed/f-ABUpy4Qvk" frameborder="0" allowfullscreen></iframe></html>

'''Slides'''
https://speakerdeck.com/esipfed/the-new-geoplatform-tod-dabolt-doi

= 2015 Tech Dive Webinars =

==13 Oct 2015: Raj Pandya on AGU's Thriving Earth Exchange and Sharing Solutions==

The Thriving Earth Exchange is a network and platform that connects community leaders, sponsors, and scientists and helps them combine science and local knowledge to solve on-the-ground challenges related to natural hazards, natural resources, and climate change.  I’ll talk about the general principles on which we are building TEX and describe the basic modules that are part of the TEX. Drawing on the lessons learned from our pilots, I'll talk about how we are developing modules and launching new projects with several partners. I’ll describe a range of projects – from a community monitoring effort in Denver to a Pamiri Mountain project to integrate climate projections into traditional calendars. I’ll introduce our nascent “share” module, and describe our partnership with Amazon Web Services to move prototype community-based solutions to the cloud to enhance their adaptability. And, just to live up to the name, I’ll  frame it all around a small rant about the loading-dock model of science and a rave about more participatory approaches.

'''Slides'''

[[Media:2015-10-13 ESIP RantRave RajPandya.pdf| PDF]]

==13 Aug 2015: Rich Signell on Catalog-driven Workflows for Science==

"Catalog-driven, reproducible workflows for ocean science: Comparing
sea level forecasts along the US Coastline"

Rich Signell

Filipe Fernandes

The USGS Integrated Ocean Observing System (US-IOOS) requires that
data providers use standard web services (OPeNDAP+CF, OGC WMS, OGC
SOS) for distributing model products and insitu observations.   The
services are captured in ISO metadata records and searchable via
standard catalog services (OGC CSW).

This presentation will demonstrate how to use this system in a
reproducible Jupyter Notebook, discovering, accessing and using model
and observed water levels along the US Coastline, using a free python
environment that can be installed on Mac, Windows and Linux in less
than 10 minutes.

'''Slides'''

[https://speakerdeck.com/rsignell/catalog-driven-reproducible-workflows-for-ocean-science Speaker Deck] | [[Media:2015-08-13 ESIP RantRave.pdf| PDF]]

==11 June 2015: [http://www.nationaldataservice.org/projects/labs.html NDS Labs], Matt Turk==

Matt is a member of the NDS Labs technical advisory committee and will present NDS Labs as a platform for exploring data services -- enabling the separation of data and its representation, and how NDS Labs is functioning as an emerging platform for such separation.

'''Slides'''
[[Media:2015-06-11 ESIP RantRave NDSLabs.pdf| PDF]]