Difference between revisions of "ESIP 2021 Summer Meeting Materials for the session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'"

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==Purpose of this page==
 
==Purpose of this page==
 
This page provides a summary of the session [https://sched.co/jMOK ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'] held on 2021-07-21 co-organized by the ESIP [[Agriculture and Climate]] Cluster and the [https://wiki.esipfed.org/SemanticHarmonization ESIP Semantic Harmonization Cluster].  
 
This page provides a summary of the session [https://sched.co/jMOK ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'] held on 2021-07-21 co-organized by the ESIP [[Agriculture and Climate]] Cluster and the [https://wiki.esipfed.org/SemanticHarmonization ESIP Semantic Harmonization Cluster].  
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==Important documents==
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*[https://doi.org/10.6084/m9.figshare.14974266.v1 Big-picture schematic of how this session relates to data-science topics like AI/ML, semantic technology, graph database technology, etc.]
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*[https://docs.google.com/document/d/1vlhLkil6GNVyfsUa4jUqFS5YL8tPDN6PKetfAxfVSrM/edit?usp=sharing Google Doc session notes that hosts the unedited observations and comments from workshop participants]
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*Edited version of workshop deliverables that can be used to foster ideas for FUNding Friday and ESIP Lab projects (to be hyperlinked once this document becomes available)
  
 
==People involved==
 
==People involved==
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'''Agenda'''
 
'''Agenda'''
  
*[11 am] Workshop begins
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* [11 am] Workshop begins
*Introduction
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* Introduction
**Related [https://esip.figshare.com/articles/poster/Wildfire_data_and_information_interoperability_across_fire_management_phases/14974266/1 poster in Research Showcase]
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** Big-picture schematic of how this session relates to data-science topics like AI/ML, semantic technology, graph database, etc.
**Slido poll: Which of the following wildfire experiences apply to you?
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* Slido poll: Which of the following wildfire experiences apply to you?
*[11:10 am] Wildfire problem statement, requirements, and some focus on planning by polygon
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* [11:10 am] Wildfire problem statement, requirements, and some focus on planning by polygon
**Everett Hinkley, US Forest Service, Geospatial Management Office National Remote Sensing Program Manager
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** Everett Hinkley, US Forest Service, Geospatial Management Office National Remote Sensing Program Manager
***''Wildfire Mapping--Leveraging AI/ML for needed improvements: Faster delivery, improved consistency, reduced subjectivity''
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*** Wildfire Mapping--Leveraging AI/ML for needed improvements: Faster delivery, improved consistency, reduced subjectivity
**Dave Zader, Wildland Fire Administrator for The City of Boulder, CO Fire Department (retired); Wildlife Fire Policy Committee member for the International Association of Fire Chiefs
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** Dave Zader, Wildland Fire Administrator for The City of Boulder, CO Fire Department (retired); Wildlife Fire Policy Committee member for the International Association of Fire Chiefs
***''Wildfire management and planning by polygon, a tool for improved decision-making and resources usage''
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*** ''Wildfire management and planning by polygon, a tool for improved decision-making and resources usage''
**Pier Buttigieg, Helmholtz Metadata Collaboration
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** Pier Buttigieg, Helmholtz Metadata Collaboration
***''Representing and aligning knowledge about wildfires - the need and challenge of semantic harmonization''
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*** ''Representing and aligning knowledge about wildfires - the need and challenge of semantic harmonization''
*[12:05 pm] Breakouts-1
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* [12:05 pm] Slido poll: Rank the following values-at-risk that are important to *YOUR* community: from most important (rank #1) to least important (rank #6)
**Knowledge representation for wildfire planning and execution (Focus on Polygons)
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* [12:10 pm] Breakouts Part 1
**Technological solutions for wildfire planning and execution
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** Breakout group #1: Knowledge representation for wildfire planning and execution (Focus on Polygons)
*[12:30 pm] Short break / transition
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** Breakout group #2: Technological solutions for wildfire planning and execution
*[12:40 pm] Slido poll: Rank the following values-at-risk that are important to *YOUR* community: from most important (rank #1) to least important (rank #6)
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* Short break / transition (10 min)
*[12:45 pm] Breakouts-2
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* [~12:45 pm] Breakouts Part 2
**Knowledge representation for wildfire planning and execution (Focus on Values-at-Risk)
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** Breakout group #1: Knowledge representation for wildfire planning and execution (Focus on Values-at-Risk)
**Technological solutions for Wildfire Planning and Execution
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** Breakout group #2: Technological solutions for Wildfire Planning and Execution
*[1:10 pm] Report out from breakout groups
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* [1:10 pm] Report out from breakout groups
*[1:20 pm] Wrap up
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* [1:20 pm] Wrap up
*[1:30 pm] Workshop ends
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* [1:30 pm] Workshop ends

Revision as of 13:20, July 20, 2021

Purpose of this page

This page provides a summary of the session ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements' held on 2021-07-21 co-organized by the ESIP Agriculture and Climate Cluster and the ESIP Semantic Harmonization Cluster.

Important documents

People involved

  • Session organizers:
  • Presenters:
    • Everett Hinkley (US Forest Service, Geospatial Management Office National Remote Sensing Program Manager)
    • Dave Zader (Wildland Fire Administrator for The City of Boulder, CO Fire Department (retired), Wildlife Fire Policy Committee member for the International Association of Fire Chiefs)
    • Pier Buttigieg (Helmholtz Metadata Collaboration)
  • Session attendees: The list of attendees can be accessed from the Google Doc session notes

Overview

What.  This session is co-organized by the Agriculture and Climate Cluster and the Semantic Harmonization Cluster (hereby collectively referred to as the “Clusters”).  The PDF poster on ESIP's figshare account gives you the big-picture schematic of how this session relates to data-science topics like AI/ML, semantic technology, graph database technology, etc.

Why.  Environmental risks are increasingly resulting in disasters that cost the taxpayer dearly in terms of lives lost, incurred damages, and future liabilities. A recent study on the comprehensive cost of the 2018 California wildfires estimated damages at $150B and the loss of thousands of lives. In this proposed session, the Clusters will lead transdisciplinary-oriented discussions focused on both science and technology topics for managing such environmental risks. Wildfire data and information should ideally be reusable and repurposable across different fire management phases (e.g. prediction, pre-fire planning, during fire, after-fire, recovery). For example, infrastructure that is vulnerable to wildfire-induced floods identified during the active-fight fighting phase should be easily discoverable to city managers weeks or even months later, when heavy rains on burn areas may trigger catastrophic debris-flow that threaten lives. Features (e.g. buildings, vegetation patches, ridgelines, etc) identified by AI/ML algorithms from UAS imagery data that are used for mitigation planning should be made discoverable for fire managers making tactical fire-fighting decisions.

How.  The proposed session addresses the following question: how can we apply data and knowledge management technologies to fulfill the needs of wildfire mitigation and response?

Agenda

  • [11 am] Workshop begins
  • Introduction
    • Big-picture schematic of how this session relates to data-science topics like AI/ML, semantic technology, graph database, etc.
  • Slido poll: Which of the following wildfire experiences apply to you?
  • [11:10 am] Wildfire problem statement, requirements, and some focus on planning by polygon
    • Everett Hinkley, US Forest Service, Geospatial Management Office National Remote Sensing Program Manager
      • Wildfire Mapping--Leveraging AI/ML for needed improvements: Faster delivery, improved consistency, reduced subjectivity
    • Dave Zader, Wildland Fire Administrator for The City of Boulder, CO Fire Department (retired); Wildlife Fire Policy Committee member for the International Association of Fire Chiefs
      • Wildfire management and planning by polygon, a tool for improved decision-making and resources usage
    • Pier Buttigieg, Helmholtz Metadata Collaboration
      • Representing and aligning knowledge about wildfires - the need and challenge of semantic harmonization
  • [12:05 pm] Slido poll: Rank the following values-at-risk that are important to *YOUR* community: from most important (rank #1) to least important (rank #6)
  • [12:10 pm] Breakouts Part 1
    • Breakout group #1: Knowledge representation for wildfire planning and execution (Focus on Polygons)
    • Breakout group #2: Technological solutions for wildfire planning and execution
  • Short break / transition (10 min)
  • [~12:45 pm] Breakouts Part 2
    • Breakout group #1: Knowledge representation for wildfire planning and execution (Focus on Values-at-Risk)
    • Breakout group #2: Technological solutions for Wildfire Planning and Execution
  • [1:10 pm] Report out from breakout groups
  • [1:20 pm] Wrap up
  • [1:30 pm] Workshop ends