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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