USDA Forest Service Remote Sensing Applications Center Operational

USDA Forest Service Remote Sensing Applications Center Operational Satellite-Based Remote Sensing Fire Support Programs WRAP/FETS Project Meeting Boise, Idaho August 31 -September 1, 2009

Remote Sensing Applications Center (RSAC) • National Technical Center • • Detached Washington Office – Engineering • Geospatial Management Organization (GMO) Mission: Provide national assistance to agency units and deputy areas in applying the most advanced geospatial technology toward improved monitoring and mapping of natural resources

USDA Forest Service Organization l l l National Headquarters in Washington, DC 9 Regional Offices National Forest System w 155 National Forests and 20 National Grasslands § l Research w w l State and Private Forestry w w l 7 stations 50 field offices Fire & Aviation Forest Health Protection International Programs w 600 Ranger Districts 193 million acres in CONUS, AK and PR

Remote Sensing Applications Center (RSAC) Rapid Disturbance Assessment and Services Program w w Tactical and strategic remote sensing support Forest Service units and external partners in response to disturbance events Includes operational active wildland fire management and post-fire assessment support programs/projects

RSAC Areas of Interest for Operational Air Quality Management Support l Provide high temporal observations/value-added products from various satellites (MODIS, AURA, VIIRS, etc. ) to support USFS and other agency air quality managers w l § Exceptional 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. w l Identify source/receptor relationships 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 w w WRAP/FETS Blue Sky Smoke Modeling Framework

RSAC Satellite-Based Fire Mapping Programs Active Fire Mapping l MODIS Direct Readout/Active Fire Mapping Program u u Near real-time fire detection, characterization and monitoring Support interagency strategic fire management and planning Post-fire Mapping l Monitoring Trends in Burn Severity (MTBS) u u l Burned Area Emergency Response (BAER) Imagery Support u u l Assess frequency, extent and severity of all current/historical large wildland fires Monitor national fire policy effectiveness Emergency assessment of burn severity Support emergency stabilization activities by USFS BAER teams Rapid Assessment of Vegetation Condition after Wildfire (RAVG) u u Rapid assessment of forest damage Revegetation decision support data/information for USFS forest silviculturists

Forest Service MODIS Active Fire Mapping Program l Satellite-based operational detection and monitoring of wildland fire activity in CONUS, Alaska, Hawaii & Canada • Generate and provide "value added” fire mapping and visualization products, and geospatial data • Facilitates decision support for strategic wildfire planning and response for U. S. and Canadian fire agencies u u u Prioritize allocation of fire suppression assets Focus tactical airborne reconnaissance assets Supports several fire-related applications and decision support systems

Forest Service MODIS Active Fire Mapping Program Currently Leveraged Sensor Assets Sensor Platform Type Spatial Resolution Temporal Resolution (Reflectance/TIR Bands) (per instrument) Fire Algorithm Data Source MODIS Polar orbiting 250 m, 500 m, 1 km/1 km 2 times daily MOD 14/MYD 14 Direct Readout; NASA Rapid Response System AVHRR Polar orbiting 1 km/1 km 2 times daily FIMMA NOAA NESDIS GOES Geostationary 1 km/4 km 4 times hourly WF-ABBA NOAA NESDIS VIIRS* Polar orbiting 375 m/750 m 2 times daily TBD Direct Readout; Rapid Response GOES-R# Geostationary 500 m, 1 km/2 km 4 times hourly TBD Direct Readout; NOAA NESDIS * VIIRS launch on NPOESS Preparatory Project (NPP) mission in June 2011 and subsequent NPOESS missions # GOES-R launch in 2015 and subsequent missions

MODIS Fire & Thermal Anomalies (MOD 14/MYD 14) • Detects & characterizes fire at 1 km spatial resolution at time of satellite overpass • Leverages response of 4 m and 11 m bands to fire • Absolute thresholds and contextual analysis • Fire detection is affected by several variables u • Central Idaho Aug 12, Idaho 2007 Central False. Aug Color Central Idaho 12, Composite 2007 (1 -KM detection Aug 12, 2007 False Color Composite centroids in yellow) True Color Composite (Active fires in orange) Atmospheric conditions, view angle, land cover, overpass time relative to fire activity, etc. Fire activity smaller than 1 km can be detected u u 100 m 2 flaming fire (50% probability) 50 m 2 flaming fire in ideal viewing conditions (~100% probability)

AFM Operational Fire Product Deliverables Value-Added Mapping/Visualization Products and Geospatial Data • Printable regional fire detection maps • Interactive web fire detection maps • Google Earth fire KML/KMZ products • Fire detection GIS datasets • True & False color image subsets • Fire detection analysis/summary products Northern California – June 27, 2008

A Look At Recent Fire Activity With MODIS Southern California – August 29, 2009 1515 MDT Aqua MODIS True Color Composite

A Look At Recent Fire Activity With MODIS Southern California – August 29, 2009 1515 MDT Aqua MODIS False Color Composite

A Look At Recent Fire Activity With MODIS Station Fire – August 31, 2009 1300 MDT

RSAC Satellite-Based Fire Mapping Programs Active Fire Mapping l MODIS Direct Readout/Active Fire Mapping Program u u Near real-time fire detection, characterization and monitoring Support interagency strategic fire management and planning Post-fire Mapping l Monitoring Trends in Burn Severity (MTBS) u u l Burned Area Emergency Response (BAER) Imagery Support u u l Assess frequency, extent and severity of all current/historical large wildland fires Monitor national fire policy effectiveness Emergency assessment of burn severity Support emergency stabilization activities by USFS BAER teams Rapid Assessment of Vegetation Condition after Wildfire (RAVG) u u Rapid assessment of forest damage Revegetation decision support data/information for USFS forest silviculturists

MTBS Project Overview l 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 w w > 1, 000 acres in the western United States > 500 acres in the eastern United States l Initiated in FY 2006 l Sponsored by the interagency Wildland Fire Leadership Council (WFLC) w l One element of a strategy monitoring the effectiveness of NFP and HFRA Jointly implemented by USFS RSAC and USGS EROS w Equal funding from USDA-FS and DOI

Monitoring Trends in Burn Severity Leveraged Sensor Assets Sensor Platform Type Spatial Resolution Temporal Resolution (Reflectance Bands) (per instrument) Data Source Landsat 4 TM Polar orbiting 30 m 16 days USGS EROS Landsat 5 TM Polar orbiting 30 m 16 days USGS EROS Landsat 7 ETM+ Polar orbiting 30 m 16 days USGS EROS LDCM 1 Polar orbiting 30 m 16 days USGS EROS 1 – LDCM launch currently scheduled for December 2012 Why Landsat? ? ? l Operational precedent w w l Landsat TM/ETM data record (1984 to present) w l NPS fire atlases USFS/DOI BAER Programs Consistent data record spanning ecologically and possibly climatically significant time frame Resolution synergy w Spatial and spectral resolutions comparable to other national scale data

Burn Severity Mapping Primer Exploiting Spectral Response Curves… Visible NIR SWIR

Burn Severity Mapping Primer l l Burn scar delineation and burn severity characterization are based on Landsat TM/ETM image pairs and the differenced Normalized Burn Ratio (d. NBR) See “Landscape Assessment” section in Fire Effects Monitoring and Inventory Protocol (FIREMON) NBR Pre-fire Landsat d. NBR Burn Severity 6/8/2005 Post-fire Difference Normalized Burn Ratio (NBR) NBR = (NIR – SWIR) / (NIR + SWIR) 6/14/2007 Differenced Normalized Burn Ratio (d. NBR) d. NBR = Pre NBR – Post NBR

MTBS Fire Mapping Methods Overview l Compile a single MTBS fire occurrence database (FOD) from existing data sources w w l Based on FOD and prescribed assessment strategy, select pre and post-fire Landsat scenes w l l Determined by primarily biophysical setting of fire Landsat TM/ETM+ data ordered and acquired from EROS w l 28, 000+ fire occurrences between 1984 -2008 Numerous duplicates, spatial anomalies, etc All Landsat data are free (since late 2008) Perform necessary pre-processing, create and subset d. NBR images, burn scar delineation, threshold d. NBR images into burn severity classes Metadata, map products, burn severity GIS data analysis, and reporting summary

MTBS Fire Occurrence Locations 1984 -2008 28, 000+ target fires Numerous duplicates fires and 28, 000+ spatial anomalies for 1984 -2008

MTBS Methods – Assessment Strategy l Based on fire type w Extended Assessment (EA) § § w Initial Assessment (IA) § § w Severity based on post-fire assessment at peak of green of next growing season Forests/shrublands Severity based on immediate post-fire assessment Grasslands/shrublands “Single Scene” Assessment § § Lack of suitable pre-fire imagery or other factors; use post-fire NBR Conducted on a limited basis (EAs and IAs)

MTBS Geospatial Products Fire Level Datasets l Available at http: //www. mtbs. gov l Pre/Post-fire Landsat imagery w l l Postfire Image Burn Severity Indices Thematic Burn Severity Bands 1 -5, 7 Burn scar boundary w l Prefire Image Vector delineation of burned area extent based on image analysis Continuous burn severity indices w d. NBR/Rd. NBR Thematic burn severity data w 6 classes (unburned to low, moderate, high, increased vegetation response, nonmappable areas) Unburned to Low Moderate High

MTBS Production Status 1984 -2007 ~9, 600 fires completed 81. 6 million acres

MTBS Geospatial Products Composite MTBS Fire Datasets l National w Burn Scar Boundaries § § w Fire Occurrence Database § § § l ESRI Shapefile w/metadata Fire attributes ESRI Shapefile w/metadata Geographic centroid of burn scar boundaries for each fire Fire and MTBS processing attributes Regional w Thematic Burn Severity Image Mosaics § § 6 class thematic Geo. Tiffs w/metadata Available by MTBS mapping zone/year 2005 burn severity mosaics by MTBS zones

Burned Area Emergency Response (BAER) l Fast track emergency assessment • Fires ranging from 100 s of acres to 100 s 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 of fire containment • Remote sensing support is critical in generating BAER team response plans Straw waddles on Pike-San Isabel NF Contour logging on Shasta-Trinity NF

Burned Area Emergency Response Imagery Support • Provide rapid delivery of imagery and derived products to Forest Service BAER teams l u Burned Area Reflectance Classification (BARC), preliminary vegetation burn severity, based on d. NBR/d. NDVI assessment u BAER teams use BARC with field observations and other spatial data to generate a soil burn severity map RSAC remote sensing support provided at or immediately after fire containment u Postfire Emergency assessment l RSAC provides imagery and data products within 24 hours of image acquisition l 532 fires completed since 2001 (13. 6 million acres) USFS and DOI BAER support programs combined -736 fires completed since 2001 (25. 7 million acres) l Prefire BARC

Burned Area Emergency Response Imagery Support Leveraged Sensor Assets – Use Best Available Sensor Platform Type Spatial Resolution Temporal Resolution (per (Reflectance Bands) instrument) Data Source Landsat 5 TM Polar orbiting 30 m 16 days USGS EROS Landsat 7 ETM+ Polar orbiting 30 m 16 days USGS EROS AWi. FS Polar orbiting 56 m 5 days USDA-FAS-SIA SPOT 4 Polar orbiting 20 m 2 -3 days (pointable) SPOT Image SPOT 5 Polar orbiting 10 m/20 m 2 -3 days (pointable) SPOT Image ASTER 1 Polar orbiting 15 m/30 m 4 -16 days (pointable) NASA/USGS EROS NASA AMS Airborne (UAV) ~ 21 m -- NASA LDCM 2 Polar orbiting 30 m 16 days USGS EROS 1 – Anomalous SWIR band issues since April 2008; 2 - LDCM launch currently scheduled for December 2012

Creation of the BARC Prefire Postfire d. NBR BARC Black Pine 2 Fire Sawtooth NF 73, 000 Acres Normalized Burn Ratio (NBR) Differenced Normalized Burn Ratio (d. NBR) NBR = (NIR – SWIR) / (NIR + SWIR) d. NBR = Pre NBR – Post NBR Normalized Difference Vegetation Index (NDVI) Differenced NDVI (d. NDVI) NDVI = (NIR – Red) / (NIR + Red) d. NDVI = Pre NDVI – Post NDVI Unburned to Low Moderate High d. NDVI is utilized when appropriate SWIR band is not available

Burned Area Emergency Response Imagery Support BAER Support Rapid Delivery Products Prefire Image Postfire Image 3 D Visualizations d. NBR or d. NDVI Image BARC Image Map Products

Post-Fire Vegetation Management on National Forest System Lands l Agency resources to support reforestation in burned areas are limited, consequently, better prioritization is needed l USFS Region 5 facilitated a protocol for rapid identification of deforestation and reforestation need on National Forest System lands u Leverage relationship of satellite-based burn severity observations to Composite Burn Index (CBI) field plot data that quantify fire effects to vegetation (deforestation) u Spatially q represent forested vs. deforested areas following wildfire Based on Landfire EVT u Silviculturists use results as a tool to identify and prioritize land suitable for reforestation q q Natural Recovery Assisted Recovery (planting, seeding or site preparation for natural recovery)

Rapid Assessment of Vegetation Condition after Wildfire (RAVG) • Provide Landsat imagery and derived products characterizing fire effects on forest resources to silviculturists (based on USFS protocol) u Assessment based on Rd. NBR – a relative version of d. NBR u Regression models based on CBI field plot data and Rd. NBR used to derive post-fire forest condition layers: q Burn severity q % basal area loss q % canopy cover loss l Conducted on fires where > 1, 000 acres of NFS forested land is affected l RAVG data and summary products are provided within 30 days of fire containment l 142 fires completed since 2007 (~4. 5 million acres) Postfire Image Rd. NBR 7 Class Basal Area Mortality

Rapid Assessment of Vegetation Condition after Wildfire Primary RAVG Product Deliverables • Prefire Landsat image • % Change in Basal Area • Postfire Landsat image • % Change in Canopy Cover • Burn Scar Boundary • Burn Severity • d. NBR and Rd. NBR • Forested/Deforested map and tabular summaries by land status and slope

Additional Information RSAC Fire Mapping Support Programs MODIS Active Fire Mapping Program http: //activefiremaps. fed. us Monitoring Trends in Burn Severity Project http: //www. mtbs. gov BAER Imagery Support Program http: //www. fs. fed. us/eng/rsac/baer Rapid Assessment of Vegetation after Fire Program http: //www. fs. fed. us/postfirevegcondition/index. php