Spatial and temporal analysis of satellite derived fire products

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'''Spatial-temporal analysis of satellite derived fire locations'''
+
==Use Case AQ.FireOccurence.1.a==
 +
Spatial and temporal analysis of satellite derived fire occurrence data
 +
 
 +
==Purpose==
 +
Earth Information Exchange
 +
 
 +
To test web service orchestration for air quality data analysis.
 +
 
 +
==Revision Information==
 +
Version 0.1.a
 +
 
 +
Prepared by:
 +
Stefan Falke<br>
 +
Washington University and
 +
Northrop Grumman IT - TASC
 +
 
 +
created: February 23, 2007
 +
 
 +
Revision History
 +
 
 +
Modified by
 +
<Modifier Name/Affil>,
 +
<Date/time>,
 +
<Brief Description>
 +
 
 +
==Use Case Identification==
 +
 
 +
===Use Case Designation===
 +
 
 +
AQ.FireOccurence.1.a
 +
 
 +
===Use Case Name===
 +
Short name: Fire location analysis
 +
 
 +
Long name: Spatial and temporal analysis of satellite derived fire occurrence data
 +
 
 +
==Use Case Definition==
 +
Gathering and processing of fire occurrence data are very labor intensive. A web service based tool for semi-automating this analysis would allow analysis on historical and most recent data wherever and whenever needed (depending only on data availability and quality).
  
 
Smoke from biomass burning is an important component of air quality. Quantifying air pollutant emissions from wildfires and prescribed burning is one of the more uncertain inputs to air quality forecasting. Satellite data are being used to help improve the ability to accurately estimate emissions from fires. However, the quality of satellite dervired fire products for air quality applications is not well characterized:
 
Smoke from biomass burning is an important component of air quality. Quantifying air pollutant emissions from wildfires and prescribed burning is one of the more uncertain inputs to air quality forecasting. Satellite data are being used to help improve the ability to accurately estimate emissions from fires. However, the quality of satellite dervired fire products for air quality applications is not well characterized:
*multiple sensors detect fires - which to use?
+
* multiple sensors detect fires - which to use?
*missed detections (cloud cover)
+
* missed detections (cloud cover)
*false detections
+
* false detections
*spatial resolution limitations
+
* spatial resolution limitations
*temporal resolution limitations
+
* temporal resolution limitations
*size and types of fires detected
+
* size and types of fires detected  
  
 
Two types of analyses conducted on satellite derived fire locations include:
 
Two types of analyses conducted on satellite derived fire locations include:
 
* satellite sensor - satellite sensor comparison
 
* satellite sensor - satellite sensor comparison
* spatial coincidence of satellite with ground based observations
+
* spatial coincidence of satellite with ground based observations  
  
Soja, et al., 2005: http://www.epa.gov/ttn/chief/conference/ei14/session12/soja.pdf
+
Through this use case, the air quality analyst works through the following steps:
<br>Describes method used for analysis of fire locations/areas for May-August 2002 in Florida.
+
* Access sources of satellite fire location and fire perimeter data
 +
* Calculate area polygons using buffer analysis on satellite fire location data
 +
* Compare spatial and temporal correspondence of satellite polygons
 +
* Compare overlap of satellite polygons and surface fire perimeters
 +
* Generate spatial maps, temporal plots, and summary statistic tables
  
Gathering and processing data very labor intensive.
+
===Actors===
A web service based tool for semi-automating this analysis would allow analysis on historical and most recent data wherever and whenever needed (depending only on data availability and quality).
+
  
Datasets used:
+
====Primary Actors====
Satellite derived fire locations (from MODIS and GOES)
+
Air quality analyst who seeks to understand the quality and behavior of the fire occurrence data in order to use it in modeling smoke emissions or analyzing the source of poor air quality due to smoke.  
* in paper referenced above
+
**GOES-ABBA (http://www.nrlmry.navy.mil/flambe/index.html)
+
**MODIS (http://activefiremaps.fs.fed.us/)
+
* other sources
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** WFS-esque interface to NOAA HMS analyzed fires which includes MODIS and GOES-ABBA:
+
  
Fire perimeter data
+
====Other Actors====
* in paper referenced above:
+
**State of Florida fire databases
+
===Preconditions===
* other sources
+
*1.Satellite derived fire occurrence data are available
** NIFC via the ESIP Disaster Management Cluster?
+
*2.Web services are available for conducting the spatial/temporal analysis
 +
*3.Tools for creating analysis service flows are available.
  
Analysis:
+
===Postconditions===
* Access satellite fire locations
+
*1. A spatial-temporal analysis of fire occurrence data visualized in maps, time plots and tables.
* Calculate area polygons using buffer analysis
+
*2. A better understanding of fir occurrence data quality and which satellites are most appropriate for air quality applications.
* Compare spatial and temporal correspondence of satellite polygons
+
*3. Fire occurrence data is input to smoke emissions models and subsequent data analysis tools.
* Compare overlap of satellite polygons and surface fire perimeters
+
 
* Generate spatial maps, temporal plots, and summary statistic tables
+
===Normal Flow (Process Model)===
 +
*1)The user finds and accesses GOES, MODIS, and surface fire location data through OGC (or otherwise open standard based) interfaces
 +
*2)The user then finds spatial analysis web services for buffering and overlay analysis
 +
*3)The data access and spatial analysis services are chained/orchestrated so that fire occurrence data are buffered and then paired in an overlay analysis to determine coincidence between two datasets.
 +
*4)The user views the results in maps and summary statistic tables
 +
 
 +
===Alternative Flows===
 +
 
 +
===Successful Outcomes===
 +
*1.Operation succeeds and user obtains maps and statistic table views of results.
 +
 
 +
===Failure Outcomes===
 +
*1.
 +
*2.
 +
 
 +
===Special Functional Requirements===
 +
None
 +
 
 +
===Extension Points===
 +
*<Cluster>.<SubArea>.<number>.<letter 1> something added or a variant.
 +
E.g. AQ.Smoke.1.b something added or a variant
 +
*<Cluster>.<SubArea>.<number>.<letter 2> something added or a variant
 +
*<Cluster>.<SubArea>.<number>.<letter 3> something added or a variant
 +
 
 +
==Diagrams==
 +
 
 +
===Use Case Diagram===
 +
[http://wiki.esipfed.org/images/9/93/FirePixelAnalysis.ppt Fire Occurrence Data Analysis Workflow]
 +
 
 +
===State Diagram (optional)===
 +
 
 +
===Activity Diagram (optional)===
 +
 
 +
===Other Diagrams (optional)===
 +
 
 +
==Non-Functional Requirements (optional)==
 +
 
 +
===Performance===
 +
 
 +
===Reliability===
 +
 
 +
===Scalability===
 +
 
 +
===Usability===
 +
 
 +
===Security===
 +
 
 +
===Other Non-functional Requirements===
 +
 
 +
==Selected Approach==
 +
 
 +
===Overall Technical Approach===
 +
 
 +
===Architecture===
 +
 
 +
===Participating Organizations/Projects===
 +
 
 +
===Technology A===
 +
 
 +
====Description====
 +
 
 +
====Benefits====
 +
 
 +
====Limitations====
 +
 
 +
===Technology B===
 +
 
 +
====Description====
 +
 
 +
====Benefits====
 +
 
 +
====Limitations====
 +
 
 +
==References (optional)==
 +
Soja, et al., 2006
 +
http://www.epa.gov/ttn/chief/conference/ei15/session10/soja.pdf
 +
Describes method used for analysis of fire locations/areas for 2002 in Oregon and Alaska.
 +
 
 +
Soja, et al., 2005: http://www.epa.gov/ttn/chief/conference/ei14/session12/soja.pdf
 +
Describes method used for analysis of fire locations/areas for May-August 2002 in Florida.
  
Future extensions:
+
Hoffman, et al., 2007
* Access to satellite derived burn scar area products
+
Characterizing and understanding the differences between GOES WF_ABBA and MODIS fire products and implications for data assimilation
* New, more temporally resolved land cover products for determining fuel type
+
http://ams.confex.com/ams/87ANNUAL/techprogram/paper_117985.htm

Latest revision as of 15:37, 11 July 2007

Contents

[edit] Use Case AQ.FireOccurence.1.a

Spatial and temporal analysis of satellite derived fire occurrence data

[edit] Purpose

Earth Information Exchange

To test web service orchestration for air quality data analysis.

[edit] Revision Information

Version 0.1.a

Prepared by: Stefan Falke
Washington University and Northrop Grumman IT - TASC

created: February 23, 2007

Revision History

Modified by <Modifier Name/Affil>, <Date/time>, <Brief Description>

[edit] Use Case Identification

[edit] Use Case Designation

AQ.FireOccurence.1.a

[edit] Use Case Name

Short name: Fire location analysis

Long name: Spatial and temporal analysis of satellite derived fire occurrence data

[edit] Use Case Definition

Gathering and processing of fire occurrence data are very labor intensive. A web service based tool for semi-automating this analysis would allow analysis on historical and most recent data wherever and whenever needed (depending only on data availability and quality).

Smoke from biomass burning is an important component of air quality. Quantifying air pollutant emissions from wildfires and prescribed burning is one of the more uncertain inputs to air quality forecasting. Satellite data are being used to help improve the ability to accurately estimate emissions from fires. However, the quality of satellite dervired fire products for air quality applications is not well characterized:

  • multiple sensors detect fires - which to use?
  • missed detections (cloud cover)
  • false detections
  • spatial resolution limitations
  • temporal resolution limitations
  • size and types of fires detected

Two types of analyses conducted on satellite derived fire locations include:

  • satellite sensor - satellite sensor comparison
  • spatial coincidence of satellite with ground based observations

Through this use case, the air quality analyst works through the following steps:

  • Access sources of satellite fire location and fire perimeter data
  • Calculate area polygons using buffer analysis on satellite fire location data
  • Compare spatial and temporal correspondence of satellite polygons
  • Compare overlap of satellite polygons and surface fire perimeters
  • Generate spatial maps, temporal plots, and summary statistic tables

[edit] Actors

[edit] Primary Actors

Air quality analyst who seeks to understand the quality and behavior of the fire occurrence data in order to use it in modeling smoke emissions or analyzing the source of poor air quality due to smoke.

[edit] Other Actors

[edit] Preconditions

  • 1.Satellite derived fire occurrence data are available
  • 2.Web services are available for conducting the spatial/temporal analysis
  • 3.Tools for creating analysis service flows are available.

[edit] Postconditions

  • 1. A spatial-temporal analysis of fire occurrence data visualized in maps, time plots and tables.
  • 2. A better understanding of fir occurrence data quality and which satellites are most appropriate for air quality applications.
  • 3. Fire occurrence data is input to smoke emissions models and subsequent data analysis tools.

[edit] Normal Flow (Process Model)

  • 1)The user finds and accesses GOES, MODIS, and surface fire location data through OGC (or otherwise open standard based) interfaces
  • 2)The user then finds spatial analysis web services for buffering and overlay analysis
  • 3)The data access and spatial analysis services are chained/orchestrated so that fire occurrence data are buffered and then paired in an overlay analysis to determine coincidence between two datasets.
  • 4)The user views the results in maps and summary statistic tables

[edit] Alternative Flows

[edit] Successful Outcomes

  • 1.Operation succeeds and user obtains maps and statistic table views of results.

[edit] Failure Outcomes

  • 1.
  • 2.

[edit] Special Functional Requirements

None

[edit] Extension Points

  • <Cluster>.<SubArea>.<number>.<letter 1> something added or a variant.

E.g. AQ.Smoke.1.b something added or a variant

  • <Cluster>.<SubArea>.<number>.<letter 2> something added or a variant
  • <Cluster>.<SubArea>.<number>.<letter 3> something added or a variant

[edit] Diagrams

[edit] Use Case Diagram

Fire Occurrence Data Analysis Workflow

[edit] State Diagram (optional)

[edit] Activity Diagram (optional)

[edit] Other Diagrams (optional)

[edit] Non-Functional Requirements (optional)

[edit] Performance

[edit] Reliability

[edit] Scalability

[edit] Usability

[edit] Security

[edit] Other Non-functional Requirements

[edit] Selected Approach

[edit] Overall Technical Approach

[edit] Architecture

[edit] Participating Organizations/Projects

[edit] Technology A

[edit] Description

[edit] Benefits

[edit] Limitations

[edit] Technology B

[edit] Description

[edit] Benefits

[edit] Limitations

[edit] References (optional)

Soja, et al., 2006 http://www.epa.gov/ttn/chief/conference/ei15/session10/soja.pdf Describes method used for analysis of fire locations/areas for 2002 in Oregon and Alaska.

Soja, et al., 2005: http://www.epa.gov/ttn/chief/conference/ei14/session12/soja.pdf Describes method used for analysis of fire locations/areas for May-August 2002 in Florida.

Hoffman, et al., 2007 Characterizing and understanding the differences between GOES WF_ABBA and MODIS fire products and implications for data assimilation http://ams.confex.com/ams/87ANNUAL/techprogram/paper_117985.htm

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