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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