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Fire Products. Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013. A pplied R emote SE nsing T raining (ARSET) – A ir Q uality A project of NASA Applied Sciences. Fire Products Summary. HMS - NOAA Hazard Mapping System - PowerPoint PPT Presentation
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Fire Products
Training Workshop in Partnership with BAAQMD
Santa Clara, CASeptember 10 – 12, 2013
Applied Remote SEnsing Training (ARSET) – Air Quality
A project of NASA Applied Sciences
Fire Products Summary
• HMS - NOAA Hazard Mapping System• ABBA – NOAA GOES Wildfire Automated Biomass
Burning Algorithm
• AFM – USDA Forest Service Active Fire Mapping Program• MTBS – USDA&DOI Monitoring Trends in Burn Severity
Project
• FIRMS – NASA Fire Information for Resource Management System
Product Integrates
• Satellite Data • Automated Fire Detection Algorithms • Ancillary Data Layers
NOAA Hazard Mapping System (HMS) http://www.ssd.noaa.gov/PS/FIRE/hms.html
Operational daily fire and smoke analysis for North America
Automated Fire Detection and Human Input
• Analysts review fire detections and retain or delete them• Analysts can add hotspots that the algorithms have not detected.
NOAA Hazard Mapping System Fire and Smoke ProductFire Information from AVHRR, MODIS and GOES, Complied by NOAA
Google Earth display
NOAA Hazard Mapping System (HMS)
Satellite SensorSWIR
nominalresolution
Refresh Rate
Geographic coverageAutomated detection algorithm
GEOSTATIONARYGOES-EastGOES-West
4km 15 minutesCONUS/Canada/Central America WFABBA
Western half of CONUS/Alaska/Hawaii
POLARNOAA-15/17/18MODIS TerraMODIS Aqua
1km
Twice/day low/mid latitudes
More frequent at
high latitudes
Most of North/Central America except NOAA-15 which does not cover
Western US
FIMMA
MODIS
The GOES Wildfire Automated Biomass Burning Algorithm (WF_ABBA)
http://cimss.ssec.wisc.edu/goes/burn/abba.html
WF_ABBA fire product includes: fire location (lat./lon.), estimates of fire size and temperature, 3.9 and 10.7 micron observed brightness temperatures, background brightness temperatures, albedo statistics, ecosystem type, and a flag for non-processed fire pixels to indicate the reason for not processing.
ftp://satepsanone.nesdis.noaa.gov/FIRE/ABBA/Binary Data:
- Automatically locates and characterizes sub-pixel fires in GOES imagery in the Western Hemisphere
- The product is run every 30 minutes
Product includes:- Fire Location (lat./lon.)- Estimates of Fire Size and
Temperature - Ecosystem Type.
WF_ABBA fire product available as: - ASCII text files, AREA files - Alpha-blended composite imagery
Displays include three overviews and 35 regional views of the Western Hemisphere.
Examples of Regional View Sectors
University of Wisconsin-Madison CIMSS/ASPTGOES-10/-12 Half-hourly Wildfire ABBA Web Distribution
http://cimss.ssec.wisc.edu/goes/burn/wfabba.html
Example of the GOES Wildfire ABBA Monitoring System in the Western Hemisphere
GOES-8 Wildfire ABBA Summary Composite of Filtered Half-Hourly Fire
Observations for the Western Hemisphere
Time Period: September 1, 2001 to August 31, 2002
The composite shows the much higher incidence of burning in Central and South America, primarily associated with deforestation and agricultural management.
Fire Pixel Distribution
North America (30-70°N): 12% Central America (10-30°N): 11% South America (70°S-10°N): 77%
Processed
Saturated
Cloudy
High Possibility
Medium Possibility
Fire Pixel Category
The base map for this compositeimage is derived from theGlobal Land Cover Characteristicsdatabase provided by the USGS
Applications of the GOES Wildfire ABBA in Modeling Programs
Collaborations result in submission/publication of 3-peer reviewed publications in FY03
Real-time Assimilation at the University of Sao Paulo and CPTEC/INPE into the RAMS model
Point Sources for 13 August 2002
RAMS CO Product
RAMS PM2.5 Product
GOES-8 WF_ABBA Fire Product
Real-time Assimilation into the Naval Research LaboratoryNavy Aerosol Analysis and Prediction System (NAAPS)
GOES WF_ABBA Fire Product22 August 2003 at 17:45 UTC
NAAPS Smoke Optical Depth22 August 2003 at 18:00 UTC
GOES-8 ABBA Fire and MACADA Cloud Products Used in Study to Model and Predict Future Fire Activity at UNH
Collaboration with Univ. of New Hampshire Inst. for Study of Earth, Oceans, and Space
Other Modeling Efforts and Collaborations
Climate Modeling at NASA/GSFC: Assimilation into the GOCART model
Real-time Air Quality Modeling at NASA/Langley: Real-time assimilation into the RAQMS model as part of IDEA (Infusing satellite Data into Environmental Applications)
Fire Emissions and Regional Air Quality Modeling at NCAR: Assimilation into the U.S. EPA Community Multiscale Air Quality model in support of the 2002 SMOCC campaign in Brazil
Intermediate Deforestation ScenarioPredicted increase in futureregional fire activity: 22%
Complete Deforestation ScenarioPredicted increase in future regional fire activity: 123% N
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