Difference between revisions of "Use Case Template"
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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? | |
| − | + | * 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: | 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: | 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 | |
===Actors=== | ===Actors=== | ||
Revision as of 10:36, February 23, 2007
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 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:
- 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
Actors
Primary Actors
Air quality analyst
Other Actors
Preconditions
- 1.Satellite derived fire occurrence data are available
- 2.YYY validated
- 3.ZZZ published
Postconditions
- 1.Datasets are ..
- 2.Appropriate action ...
- 3.Controls are ...
Normal Flow (Process Model)
- 1)The user selects ...
- 2)The user then ...
- 3)The results of the XXX are ...
- 4)The user ...
Alternative Flows
- 1)The user selects the alternate ...
- 2)The user then ...
Successful Outcomes
- 1.Operation succeeds and user obtains QQQ.
Failure Outcomes
- 1.Operation fails to return any XXX. Should instead YYYY.
- 2.Illegal input of AAA, Should instead ZZZZ
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
State Diagram (optional)
Activity Diagram (optional)
Other Diagrams (optional)
Non-Functional Requirements (optional)
Performance
Reliability
Scalability
Usability
Security
Other Non-functional Requirements
Selected Technology
Overall Technical Approach
Architecture
Technology A
Description
Benefits
Limitations
Technology B
Description
Benefits
Limitations
References (optional)
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.
