USDA Forest Service Remote Sensing Applications CenterOperational Satellite-Based Remote Sensing Fire Support

Programs

WRAP/FETS Project MeetingBoise, Idaho

August 31-September 1, 2009

USDA Forest Service Remote Sensing Applications CenterUSDA Forest Service Remote Sensing Applications CenterOperational SatelliteOperational Satellite--Based Remote Sensing Fire Support Based Remote Sensing Fire Support

ProgramsPrograms

WRAP/FETS Project MeetingWRAP/FETS Project MeetingBoise, IdahoBoise, Idaho

August 31August 31--September 1, 2009September 1, 2009

Remote Sensing Applications Center (RSAC)Remote Sensing Applications Center (RSAC)Remote Sensing Applications Center (RSAC)•• National Technical CenterNational Technical Center

•• Detached Washington Office Detached Washington Office –– EngineeringEngineering

•• Geospatial Management Organization (GMO)Geospatial Management Organization (GMO)

•• Mission:Mission: Provide national assistance to agency units and deputy Provide national assistance to agency units and deputy areas in applying the most advanced geospatial technology areas in applying the most advanced geospatial technology toward improved monitoring and mapping of natural resourcestoward improved monitoring and mapping of natural resources

USDA Forest Service OrganizationUSDA Forest Service OrganizationUSDA Forest Service Organization

National Headquarters in Washington, DC9 Regional OfficesNational Forest System

155 National Forests and 20 National Grasslands600 Ranger Districts

193 million acres in CONUS, AK and PR

National Headquarters in Washington, DCNational Headquarters in Washington, DC9 Regional Offices9 Regional OfficesNational Forest SystemNational Forest System

155 National Forests and 20 National Grasslands155 National Forests and 20 National Grasslands600 Ranger Districts600 Ranger Districts

193 million acres in CONUS, AK and PR193 million acres in CONUS, AK and PRResearch

7 stations 50 field offices

State and Private Forestry

Fire & AviationForest Health Protection

International Programs

Research7 stations 50 field offices

State and Private Forestry

Fire & AviationForest Health Protection

International Programs

Remote Sensing Applications Center (RSAC)Remote Sensing Applications Center (RSAC)Remote Sensing Applications Center (RSAC)

Rapid Disturbance Assessment and Services ProgramRapid Disturbance Assessment and Services ProgramTactical and strategic remote sensing support Forest Service Tactical and strategic remote sensing support Forest Service units and external partners in response to disturbance events units and external partners in response to disturbance events Includes operational active wildland fire management and Includes operational active wildland fire management and postpost--fire assessment support programs/projectsfire assessment support programs/projects

RSAC Areas of Interest for Operational Air Quality Management SupportRSAC Areas of Interest for Operational Air Quality RSAC Areas of Interest for Operational Air Quality Management SupportManagement Support

Provide high temporal observations/value-added products from various satellites (MODIS, AURA, VIIRS, etc.) to support USFS and other agency air quality managers

Identify source/receptor relationshipsExceptional events in relation to states

Natural and anthropogenic sources of smoke relative to Class 1 areas

Rx fire effects on urban areas

Provide satellite-based ozone monitoring products, particularly in the south Sierras and the southeast U.S.

Integrate/analyze results with ongoing USFS ground-based ozone monitoring efforts

Provide fire detection, burn scar and burn severity geospatial data products (moderate and high resolution) for existing and future emissions tracking/forecasting applications

WRAP/FETSBlue Sky Smoke Modeling Framework

RSAC Satellite-Based Fire Mapping ProgramsRSAC SatelliteRSAC Satellite--Based Fire Mapping ProgramsBased Fire Mapping ProgramsActive Fire Mapping

MODIS Direct Readout/Active Fire Mapping ProgramNear real-time fire detection, characterization and monitoringSupport interagency strategic fire management and planning

Post-fire MappingMonitoring Trends in Burn Severity (MTBS)

Assess frequency, extent and severity of all current/historical large wildland firesMonitor national fire policy effectiveness

Burned Area Emergency Response (BAER) Imagery SupportEmergency assessment of burn severitySupport emergency stabilization activities by USFS BAER teams

Rapid Assessment of Vegetation Condition after Wildfire (RAVG)Rapid assessment of forest damage Revegetation decision support data/information for USFS forest silviculturists

Forest Service MODIS Active Fire Mapping ProgramForest Service MODIS Active Fire Mapping ProgramForest Service MODIS Active Fire Mapping ProgramSatelliteSatellite--based operational detection based operational detection and monitoring of wildland fire and monitoring of wildland fire activity in CONUS, Alaska, Hawaii & activity in CONUS, Alaska, Hawaii & CanadaCanada

•• Generate and provide "value added” Generate and provide "value added” fire mapping and visualization fire mapping and visualization products, and geospatial dataproducts, and geospatial data

•• Facilitates decision support for Facilitates decision support for strategic wildfire planning and strategic wildfire planning and response for U.S. and Canadian fire response for U.S. and Canadian fire agenciesagencies

Prioritize allocation of fire suppression Prioritize allocation of fire suppression assetsassets

Focus tactical airborne reconnaissance Focus tactical airborne reconnaissance assetsassets

Supports several fireSupports several fire--related applications related applications and decision support systemsand decision support systems

Forest Service MODIS Active Fire Mapping ProgramForest Service MODIS Active Fire Mapping ProgramForest Service MODIS Active Fire Mapping ProgramCurrently Leveraged Sensor AssetsCurrently Leveraged Sensor Assets

* * VIIRS launch on NPOESS Preparatory Project (NPP) mission in JuneVIIRS launch on NPOESS Preparatory Project (NPP) mission in June 2011 and subsequent NPOESS missions2011 and subsequent NPOESS missions

## GOESGOES--R launch in 2015 and subsequent missionsR launch in 2015 and subsequent missions

SensorSensor Platform Platform TypeType

Spatial Spatial Resolution Resolution

(Reflectance/TIR (Reflectance/TIR Bands)Bands)

Temporal Temporal Resolution Resolution

(per (per instrument)instrument)

Fire AlgorithmFire Algorithm Data SourceData Source

MOD14/MYD14MOD14/MYD14 Direct Readout; Direct Readout; NASA Rapid NASA Rapid Response Response

SystemSystem

NOAA NESDISNOAA NESDIS

NOAA NESDISNOAA NESDIS

VIIRS*VIIRS* Polar orbitingPolar orbiting 375m/750m375m/750m 2 times daily2 times daily TBDTBD Direct Readout; Direct Readout; Rapid Rapid

ResponseResponse

Direct Readout; Direct Readout; NOAA NESDISNOAA NESDIS

FIMMAFIMMA

WFWF--ABBAABBA

TBDTBD

2 times daily2 times daily

2 times daily2 times daily

4 times 4 times hourlyhourly

4 times 4 times hourlyhourly

MODISMODIS

AVHRRAVHRR

GOESGOES

GOESGOES--RR##

Polar orbitingPolar orbiting 250m, 500m, 250m, 500m, 1km/1km1km/1km

Polar orbitingPolar orbiting 1km/1km1km/1km

GeostationaryGeostationary 1km/4km1km/4km

GeostationaryGeostationary 500m, 500m, 1km/2km1km/2km

MODIS Fire & Thermal Anomalies (MOD14/MYD14)MODIS Fire & Thermal Anomalies (MOD14/MYD14)MODIS Fire & Thermal Anomalies (MOD14/MYD14)

•• Detects & characterizes fire at Detects & characterizes fire at 1km1km spatial resolution at time spatial resolution at time of satellite overpassof satellite overpass

•• Leverages response of 4Leverages response of 4µµmm and and 1111µµm m bands to firebands to fire

•• Absolute thresholds and Absolute thresholds and contextual analysiscontextual analysis

•• Fire detection is affected by Fire detection is affected by several variablesseveral variables

Atmospheric conditions, view angle, Atmospheric conditions, view angle, land cover, overpass time relative land cover, overpass time relative to fire activity, etc.to fire activity, etc.

•• Fire activity smaller than 1km Fire activity smaller than 1km can be detectedcan be detected

100m100m22 flaming fire (50% flaming fire (50% probability)probability)50m50m22 flaming fire in ideal viewing flaming fire in ideal viewing conditions (~100% probability)conditions (~100% probability)

Central IdahoCentral IdahoAug 12, 2007Aug 12, 2007

True Color CompositeTrue Color Composite

Central IdahoCentral IdahoAug 12, 2007Aug 12, 2007

False Color CompositeFalse Color Composite(Active fires in orange)(Active fires in orange)

Central IdahoCentral IdahoAug 12, 2007Aug 12, 2007

False Color CompositeFalse Color Composite(1(1--KM detection KM detection

centroidscentroids in yellow)in yellow)

Northern California Northern California –– June 27, 2008June 27, 2008

AFM Operational Fire Product DeliverablesAFM Operational Fire Product DeliverablesAFM Operational Fire Product DeliverablesValueValue--Added Mapping/Visualization Products and Geospatial DataAdded Mapping/Visualization Products and Geospatial Data•• Printable regional fire detection Printable regional fire detection

mapsmaps

•• Interactive web fire detection mapsInteractive web fire detection maps

•• Google Earth fire KML/KMZ productsGoogle Earth fire KML/KMZ products

•• Fire detection GIS datasetsFire detection GIS datasets

•• True & False color image subsetsTrue & False color image subsets

•• Fire detection analysis/summary Fire detection analysis/summary productsproducts

A Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODIS

Southern California Southern California –– August 29, 2009 1515 MDTAugust 29, 2009 1515 MDTAqua MODIS True Color CompositeAqua MODIS True Color Composite

A Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODIS

Southern California Southern California –– August 29, 2009 1515 MDTAugust 29, 2009 1515 MDTAqua MODIS False Color CompositeAqua MODIS False Color Composite

A Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODISA Look At Recent Fire Activity With MODIS

Station Fire Station Fire –– August 31, 2009 1300 MDTAugust 31, 2009 1300 MDT

RSAC Satellite-Based Fire Mapping ProgramsRSAC SatelliteRSAC Satellite--Based Fire Mapping ProgramsBased Fire Mapping ProgramsActive Fire Mapping

MODIS Direct Readout/Active Fire Mapping ProgramNear real-time fire detection, characterization and monitoringSupport interagency strategic fire management and planning

Post-fire MappingMonitoring Trends in Burn Severity (MTBS)

Assess frequency, extent and severity of all current/historical large wildland firesMonitor national fire policy effectiveness

Burned Area Emergency Response (BAER) Imagery SupportEmergency assessment of burn severitySupport emergency stabilization activities by USFS BAER teams

Rapid Assessment of Vegetation Condition after Wildfire (RAVG)Rapid assessment of forest damage Revegetation decision support data/information for USFS forest silviculturists

MTBS Project OverviewMTBS Project OverviewMTBS Project Overview

Consistently map the location, extent and burn severity of large fires on all lands in the CONUS, AK, HI and PR from 1984 and 2010

> 1,000 acres in the western United States> 500 acres in the eastern United States

Initiated in FY 2006

Sponsored by the interagency Wildland Fire Leadership Council (WFLC)

One element of a strategy monitoring the effectiveness of NFP and HFRA

Jointly implemented by USFS RSAC and USGS EROS Equal funding from USDA-FS and DOI

Monitoring Trends in Burn Severity Monitoring Trends in Burn Severity Monitoring Trends in Burn Severity

Leveraged Sensor AssetsLeveraged Sensor Assets

11 –– LDCM launch currently scheduled for December 2012LDCM launch currently scheduled for December 2012

SensorSensor Platform TypePlatform Type Spatial Spatial Resolution Resolution

(Reflectance Bands)(Reflectance Bands)

Temporal Temporal Resolution Resolution

(per instrument)(per instrument)

Data SourceData Source

16 days16 days USGS EROSUSGS EROS

LandsatLandsat 5 TM5 TM Polar orbitingPolar orbiting 30m30m 16 days16 days USGS EROSUSGS EROS

LandsatLandsat 7 7 ETM+ETM+

Polar orbitingPolar orbiting 30m30m 16 days16 days USGS EROSUSGS EROS

LDCMLDCM11 Polar orbitingPolar orbiting 30m30m 16 days16 days USGS EROSUSGS EROS

LandsatLandsat 4 TM4 TM Polar orbitingPolar orbiting 30m30m

Why Landsat???Operational precedent

NPS fire atlasesUSFS/DOI BAER Programs

Landsat TM/ETM data record (1984 to present)Consistent data record spanning ecologically and possibly climatically significant time frame

Resolution synergySpatial and spectral resolutions comparable to other national scale data

Burn Severity Mapping PrimerBurn Severity Mapping PrimerBurn Severity Mapping Primer

Exploiting Spectral Response CurvesExploiting Spectral Response Curves……

VisibleVisible NIRNIR SWIRSWIR

Burn Severity Mapping PrimerBurn Severity Mapping PrimerBurn Severity Mapping PrimerP

rePre

-- fir

efi

reP

ost

Pos

t --fi

re

fire

dNBRdNBR Burn SeverityBurn Severity

LandsatLandsat NBRNBR

DifferenceDifference

Normalized Burn Ratio (NBR)Normalized Burn Ratio (NBR)NBR = (NIR NBR = (NIR –– SWIR) / (NIR + SWIR)SWIR) / (NIR + SWIR)

dNBRdNBR = Pre NBR = Pre NBR –– Post NBRPost NBRDifferenced Normalized Burn Ratio (Differenced Normalized Burn Ratio (dNBRdNBR))

6/8/20056/8/2005

6/14/20076/14/2007

Burn scar delineation and burn severity characterization Burn scar delineation and burn severity characterization are based on are based on LandsatLandsat TM/ETM image pairs and the TM/ETM image pairs and the differenced Normalized Burn Ratio (differenced Normalized Burn Ratio (dNBRdNBR))See “Landscape Assessment” section in Fire Effects See “Landscape Assessment” section in Fire Effects Monitoring and Inventory Protocol (FIREMON)Monitoring and Inventory Protocol (FIREMON)

MTBS Fire Mapping Methods OverviewMTBS Fire Mapping Methods OverviewMTBS Fire Mapping Methods OverviewCompile a single MTBS fire occurrence database (FOD) Compile a single MTBS fire occurrence database (FOD) from existing data sourcesfrom existing data sources

28,000+ fire occurrences between 198428,000+ fire occurrences between 1984--20082008Numerous duplicates, spatial anomalies, etcNumerous duplicates, spatial anomalies, etc

Based on FOD and prescribed assessment strategy, Based on FOD and prescribed assessment strategy, select pre and postselect pre and post--fire fire LandsatLandsat scenesscenes

Determined by primarily biophysical setting of fireDetermined by primarily biophysical setting of fire

LandsatLandsat TM/ETM+ data ordered and acquired from TM/ETM+ data ordered and acquired from EROSEROS

All All LandsatLandsat data are free (since late 2008)data are free (since late 2008)

Perform necessary prePerform necessary pre--processing, create and subset processing, create and subset dNBRdNBR images, burn scar delineation, threshold images, burn scar delineation, threshold dNBRdNBRimages into burn severity classesimages into burn severity classesMetadata, map products, burn severity GIS data Metadata, map products, burn severity GIS data analysis, and reporting summaryanalysis, and reporting summary

MTBS Fire Occurrence LocationsMTBS Fire Occurrence LocationsMTBS Fire Occurrence Locations

28,000+ fires 28,000+ fires for 1984for 1984--20082008

19841984--20082008

28,000+ target fires28,000+ target fires

Numerous duplicates Numerous duplicates and spatial anomaliesand spatial anomalies

MTBS Methods – Assessment StrategyMTBS Methods MTBS Methods –– Assessment StrategyAssessment Strategy

Based on fire typeExtended Assessment (EA)

Severity based on post-fire assessment at peak of green of next growing seasonForests/shrublands

Initial Assessment (IA)Severity based on immediate post-fire assessment Grasslands/shrublands

“Single Scene” AssessmentLack of suitable pre-fire imagery or other factors; use post-fire NBR Conducted on a limited basis (EAs and IAs)

MTBS Geospatial ProductsMTBS Geospatial ProductsMTBS Geospatial ProductsFire Level DatasetsFire Level Datasets

Available at Available at http://http://www.mtbs.govwww.mtbs.gov

Pre/PostPre/Post--fire fire LandsatLandsat imageryimageryBands 1Bands 1--5, 75, 7

Burn scar boundaryBurn scar boundaryVector delineation of burned Vector delineation of burned area extent based on image area extent based on image analysisanalysis

Continuous burn severity indicesContinuous burn severity indicesdNBR/RdNBRdNBR/RdNBR

Thematic burn severity data Thematic burn severity data 6 classes (unburned to low, 6 classes (unburned to low, low, moderate, high, increased low, moderate, high, increased vegetation response, nonvegetation response, non--mappablemappable areas)areas)

Prefire ImagePrefire Image PostfirePostfire ImageImage

Burn Severity IndicesBurn Severity Indices Thematic Burn SeverityThematic Burn Severity

Unburned Unburned to Lowto Low

LowLow

ModerateModerate

HighHigh

MTBS Production StatusMTBS Production StatusMTBS Production Status

19841984--20072007

~9,600 fires ~9,600 fires completedcompleted

81.6 million acres81.6 million acres

MTBS Geospatial ProductsMTBS Geospatial ProductsMTBS Geospatial ProductsComposite MTBS Fire DatasetsComposite MTBS Fire Datasets

NationalNationalBurn Scar BoundariesBurn Scar Boundaries

ESRI ESRI ShapefileShapefile w/metadataw/metadataFire attributesFire attributes

Fire Occurrence Database Fire Occurrence Database ESRI ESRI ShapefileShapefile w/metadataw/metadataGeographic Geographic centroidcentroid of burn of burn scar boundaries for each firescar boundaries for each fireFire and MTBS processing Fire and MTBS processing attributesattributes

RegionalRegionalThematic Burn Severity Thematic Burn Severity Image Mosaics Image Mosaics

6 class thematic 6 class thematic GeoTiffsGeoTiffsw/metadataw/metadataAvailable by MTBS mapping Available by MTBS mapping zone/yearzone/year

2005 burn severity mosaics by MTBS zones2005 burn severity mosaics by MTBS zones

Burned Area Emergency Response (BAER)Burned Area Emergency Response (BAER)Burned Area Emergency Response (BAER)Fast track emergency assessmentFast track emergency assessment

• Fires ranging from 100s of acres to 100s of thousands of acres in size

• Assess fire effects on the soil and watershed hydrologic function (erosion and flood potential)

• Prescribe and implement emergency stabilization measures to mitigate potential hazards to:

• Life• Property• Long-term soil productivity• Water quality• Natural resources

•• BAER response plan is required within 7 days BAER response plan is required within 7 days of fire containmentof fire containment

•• Remote sensing support is critical in Remote sensing support is critical in generating BAER team response plansgenerating BAER team response plans

Straw waddles on PikeStraw waddles on Pike--San Isabel NFSan Isabel NF

Contour logging on ShastaContour logging on Shasta--Trinity NFTrinity NF

Burned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery Support•• Provide rapid delivery of imagery and derived Provide rapid delivery of imagery and derived

products to Forest Service BAER teamsproducts to Forest Service BAER teamsBurned Area Reflectance Classification (BARC)Burned Area Reflectance Classification (BARC), , preliminary vegetation burn severity, based on preliminary vegetation burn severity, based on dNBR/dNDVIdNBR/dNDVI assessmentassessment

BAER teams use BARC with field observations and BAER teams use BARC with field observations and other spatial data to generate a other spatial data to generate a soil burn severitysoil burn severitymap map

RSAC remote sensing support provided at or RSAC remote sensing support provided at or immediately after fire containmentimmediately after fire containment

Emergency assessmentEmergency assessment

RSAC provides imagery and data products RSAC provides imagery and data products within 24 hours of image acquisitionwithin 24 hours of image acquisition

532 fires completed since 2001 (13.6 million 532 fires completed since 2001 (13.6 million acres)acres)USFS and DOI BAER support programs USFS and DOI BAER support programs combined combined --736 fires completed since 2001 736 fires completed since 2001 (25.7 million acres) (25.7 million acres)

PrefirePrefire

BARCBARC

PostfirePostfire

Burned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery SupportLeveraged Sensor Assets Leveraged Sensor Assets –– Use Best AvailableUse Best Available

1 1 –– Anomalous SWIR band issues since April 2008;Anomalous SWIR band issues since April 2008; 2 2 -- LDCM launch currently scheduled for December 2012LDCM launch currently scheduled for December 2012

SensorSensor Platform TypePlatform Type Spatial Spatial Resolution Resolution

(Reflectance Bands)(Reflectance Bands)

Temporal Temporal Resolution Resolution (per (per

instrument)instrument)

Data SourceData Source

16 days16 days USGS EROSUSGS EROS

LandsatLandsat 7 7 ETM+ETM+

Polar orbitingPolar orbiting 30m30m 16 days16 days USGS EROSUSGS EROS

SPOT 4SPOT 4 Polar orbitingPolar orbiting 20m20m 22--3 days 3 days ((pointablepointable))

SPOT ImageSPOT Image

ASTERASTER11 Polar orbitingPolar orbiting 15m/30m15m/30m 44--16 days 16 days ((pointablepointable))

NASA/USGS NASA/USGS EROSEROS

AWiFSAWiFS Polar orbitingPolar orbiting 56m56m 5 days5 days USDAUSDA--FASFAS--SIASIA

SPOT 5SPOT 5 Polar orbitingPolar orbiting 10m/20m10m/20m 22--3 days 3 days ((pointablepointable))

SPOT ImageSPOT Image

NASA AMSNASA AMS Airborne (UAV)Airborne (UAV) ~ 21m~ 21m ---- NASANASA

LDCMLDCM22 Polar orbitingPolar orbiting 30m30m 16 days16 days USGS EROSUSGS EROS

LandsatLandsat 5 TM5 TM Polar orbitingPolar orbiting 30m30m

Prefire

Creation of the BARCCreation of the BARCCreation of the BARC

Black Pine 2 Fire Black Pine 2 Fire SawtoothSawtooth NFNF73,000 Acres73,000 Acres

Normalized Burn Ratio (NBR)Normalized Burn Ratio (NBR)Differenced Normalized Burn Ratio (Differenced Normalized Burn Ratio (dNBRdNBR))

NBR = (NIR NBR = (NIR –– SWIR) / (NIR + SWIR)SWIR) / (NIR + SWIR)dNBRdNBR = Pre NBR = Pre NBR –– Post NBRPost NBR

PostfiredNBR

Normalized Difference Vegetation Index (NDVI)Normalized Difference Vegetation Index (NDVI)Differenced NDVI (Differenced NDVI (dNDVIdNDVI))

NDVI = (NIR NDVI = (NIR –– Red) / (NIR + Red)Red) / (NIR + Red)dNDVIdNDVI = Pre NDVI = Pre NDVI –– Post NDVIPost NDVI

BARC

Unburned to LowUnburned to Low

LowLow

ModerateModerate

HighHighdNDVIdNDVI is utilized when appropriate is utilized when appropriate SWIR band is not availableSWIR band is not available

Prefire ImagePrefire Image

Burned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery SupportBurned Area Emergency Response Imagery Support

PostfirePostfire ImageImage

dNBRdNBR or or dNDVIdNDVI ImageImage BARC ImageBARC Image

BAER Support Rapid Delivery ProductsBAER Support Rapid Delivery Products

3D Visualizations3D Visualizations

Map ProductsMap Products

Post-Fire Vegetation Management on National Forest System Lands PostPost--Fire Vegetation Management on National Forest Fire Vegetation Management on National Forest System Lands System Lands

Agency resources to support reforestation in burned areas are limited, consequently, better prioritization is needed

USFS Region 5 facilitated a protocol for rapid identification of deforestation and reforestation need on National Forest System lands

Leverage relationship of satellite-based burn severity observations to Composite Burn Index (CBI) field plot data that quantify fireeffects to vegetation (deforestation)

Spatially represent forested vs. deforested areas following wildfireBased on Landfire EVT

Silviculturists use results as a tool to identify and prioritize land suitable for reforestation

Natural RecoveryAssisted Recovery (planting, seeding or site preparation for natural recovery)

Rapid Assessment of Vegetation Condition after Wildfire (RAVG)Rapid Assessment of Vegetation Condition after Wildfire Rapid Assessment of Vegetation Condition after Wildfire (RAVG)(RAVG)

• Provide Landsat imagery and derived products characterizing fire effects on forest resources to silviculturists (based on USFS protocol)

Assessment based on RdNBR – a relative version of dNBR

Regression models based on CBI field plot data and RdNBR used to derive post-fire forest condition layers:

Burn severity

% basal area loss

% canopy cover loss

Conducted on fires where > 1,000 acres of NFS forested land is affected

RAVG data and summary products are provided within 30 days of fire containment

142 fires completed since 2007 (~4.5 million acres)

PostfirePostfire ImageImage

RdNBRRdNBR

7 Class Basal Area Mortality7 Class Basal Area Mortality

Rapid Assessment of Vegetation Condition after WildfireRapid Assessment of Vegetation Condition after WildfireRapid Assessment of Vegetation Condition after Wildfire

Primary RAVG Product DeliverablesPrimary RAVG Product Deliverables• Prefire Landsat image

• Postfire Landsat image

• Burn Scar Boundary

• dNBR and RdNBR

• % Change in Basal Area

• % Change in Canopy Cover

• Burn Severity

• Forested/Deforested map and tabular summaries by land status and slope

Additional InformationAdditional InformationAdditional Information

RSAC Fire Mapping Support ProgramsRSAC Fire Mapping Support Programs

MODIS Active Fire Mapping ProgramMODIS Active Fire Mapping Programhttp://http://activefiremaps.fs.fed.usactivefiremaps.fs.fed.us

Monitoring Trends in Burn Severity ProjectMonitoring Trends in Burn Severity Projecthttp://www.mtbs.gov

BAER Imagery Support ProgramBAER Imagery Support Programhttp://www.fs.fed.us/eng/rsac/baer

Rapid Assessment of Vegetation after Fire ProgramRapid Assessment of Vegetation after Fire Programhttp://http://www.fs.fed.us/postfirevegcondition/index.phpwww.fs.fed.us/postfirevegcondition/index.php