Transcript Remote Sensing in the Forest Service
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
Research 7 stations 50 field offices State and Private Forestry Fire & Aviation Forest Health Protection International Programs National Headquarters in Washington, DC 9 Regional Offices National Forest System 155 National Forests and 20 National Grasslands 600 Ranger Districts 193 million acres in CONUS, AK and PR
Remote Sensing Applications Center (RSAC)
Rapid Disturbance Assessment and Services Program 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
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 relationships 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. 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/FETS Blue Sky Smoke Modeling Framework
RSAC Satellite-Based Fire Mapping Programs
Active Fire Mapping MODIS Direct Readout/Active Fire Mapping Program Near real-time fire detection, characterization and monitoring Support interagency strategic fire management and planning Post-fire Mapping Monitoring Trends in Burn Severity (MTBS) Assess frequency, extent and severity of all current/historical large wildland fires Monitor national fire policy effectiveness Burned Area Emergency Response (BAER) Imagery Support Emergency assessment of burn severity Support 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 Program
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 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
MODIS AVHRR
Platform Type
Polar orbiting Polar orbiting
Spatial Resolution (Reflectance/TIR Bands)
250m, 500m, 1km/1km
Temporal Resolution (per instrument)
2 times daily
Fire Algorithm
MOD14/MYD14 1km/1km 2 times daily FIMMA
Data Source
Direct Readout; NASA Rapid Response System NOAA NESDIS GOES VIIRS* GOES-R # Geostationary Polar orbiting Geostationary 1km/4km 375m/750m 4 times hourly 2 times daily 500m, 1km/2km 4 times hourly WF-ABBA TBD TBD NOAA NESDIS Direct Readout; Rapid Response 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 (MOD14/MYD14)
Central Idaho Aug 12, 2007 False Color Composite (1-KM detection centroids in yellow) • Detects & characterizes fire at 1km spatial resolution at time of satellite overpass • Leverages response of 4 m 11 m bands to fire and • Absolute thresholds and contextual analysis • Fire detection is affected by several variables Atmospheric conditions, view angle, land cover, overpass time relative to fire activity, etc.
• Fire activity smaller than 1km can be detected 100m 2 flaming fire (50% probability) 50m 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 MODIS Direct Readout/Active Fire Mapping Program Near real-time fire detection, characterization and monitoring Support interagency strategic fire management and planning Post-fire Mapping Monitoring Trends in Burn Severity (MTBS) Assess frequency, extent and severity of all current/historical large wildland fires Monitor national fire policy effectiveness Burned Area Emergency Response (BAER) Imagery Support Emergency assessment of burn severity Support 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 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
Leveraged Sensor Assets
Sensor Platform Type
Landsat 4 TM Landsat 5 TM Landsat 7 ETM+ LDCM 1 Polar orbiting Polar orbiting Polar orbiting Polar orbiting
Spatial Resolution (Reflectance Bands)
30m 30m 30m 30m
Temporal Resolution (per instrument)
16 days 16 days 16 days 16 days
Data Source
USGS EROS USGS EROS USGS EROS USGS EROS 1 – LDCM launch currently scheduled for December 2012 Why Landsat???
Operational precedent NPS fire atlases USFS/DOI BAER Programs Landsat TM/ETM data record (1984 to present) Consistent data record spanning ecologically and possibly climatically significant time frame Resolution synergy 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
Burn scar delineation and burn severity characterization are based on Landsat TM/ETM image pairs and the differenced Normalized Burn Ratio (dNBR) See “Landscape Assessment” section in Fire Effects Monitoring and Inventory Protocol (FIREMON)
Landsat NBR dNBR Burn Severity
6/8/2005
Difference
6/14/2007 Normalized Burn Ratio (NBR) NBR = (NIR – SWIR) / (NIR + SWIR) Differenced Normalized Burn Ratio (dNBR) dNBR = Pre NBR – Post NBR
MTBS Fire Mapping Methods Overview
Compile a single MTBS fire occurrence database (FOD) from existing data sources 28,000+ fire occurrences between 1984-2008 Numerous duplicates, spatial anomalies, etc Based on FOD and prescribed assessment strategy, select pre and post-fire Landsat scenes Determined by primarily biophysical setting of fire Landsat TM/ETM+ data ordered and acquired from EROS All Landsat data are free (since late 2008) Perform necessary pre-processing, create and subset dNBR images, burn scar delineation, threshold dNBR 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 28,000+ fires for 1984-2008
MTBS Methods – Assessment Strategy
Based on fire type Extended Assessment (EA) Severity based on post-fire assessment at peak of green of next growing season Forests/shrublands Initial Assessment (IA) 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 Available at http://www.mtbs.gov
Pre/Post-fire Landsat imagery Bands 1-5, 7 Burn scar boundary Vector delineation of burned area extent based on image analysis Continuous burn severity indices dNBR/RdNBR Thematic burn severity data 6 classes (unburned to low, low, moderate, high, increased vegetation response, non mappable areas)
Prefire Image Burn Severity Indices Postfire Image Thematic Burn Severity Unburned to Low Low Moderate High
MTBS Production Status
1984-2007 ~9,600 fires completed 81.6 million acres
MTBS Geospatial Products
Composite MTBS Fire Datasets National Burn Scar Boundaries ESRI Shapefile w/metadata Fire attributes Fire Occurrence Database ESRI Shapefile w/metadata Geographic centroid of burn scar boundaries for each fire Fire and MTBS processing attributes Regional Thematic Burn Severity Image Mosaics 6 class thematic GeoTiffs w/metadata Available by MTBS mapping zone/year 2005 burn severity mosaics by MTBS zones
Burned Area Emergency Response (BAER)
Fast 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 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
Prefire
Burned Area Reflectance Classification (BARC) dNBR/dNDVI assessment , preliminary vegetation burn severity, based on 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 Emergency assessment
Postfire
RSAC provides imagery and data products within 24 hours of image acquisition
BARC
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)
Burned Area Emergency Response Imagery Support
Leveraged Sensor Assets – Use Best Available
Sensor Platform Type Spatial Resolution (Reflectance Bands) Temporal Resolution (per instrument) Data Source
Landsat 5 TM Polar orbiting 30m 16 days USGS EROS Landsat 7 ETM+ AWiFS Polar orbiting Polar orbiting 30m 56m 16 days 5 days USGS EROS USDA-FAS-SIA SPOT 4 SPOT 5 ASTER 1 NASA AMS Polar orbiting Polar orbiting Polar orbiting Airborne (UAV) 20m 10m/20m 15m/30m ~ 21m 2-3 days (pointable) 2-3 days (pointable) 4-16 days (pointable) - SPOT Image SPOT Image NASA/USGS EROS NASA LDCM 2 Polar orbiting 30m 16 days USGS EROS 1 – Anomalous SWIR band issues since April 2008; 2 - LDCM launch currently scheduled for December 2012
Creation of the BARC
Black Pine 2 Fire Sawtooth NF 73,000 Acres Normalized Burn Ratio (NBR) Differenced Normalized Burn Ratio (dNBR) NBR = (NIR – SWIR) / (NIR + SWIR) dNBR = Pre NBR – Post NBR
Unburned to Low Low Moderate High
Normalized Difference Vegetation Index (NDVI) Differenced NDVI (dNDVI) NDVI = (NIR – Red) / (NIR + Red) dNDVI = Pre NDVI – Post NDVI dNDVI is utilized when appropriate SWIR band is not available
Burned Area Emergency Response Imagery Support
BAER Support Rapid Delivery Products Prefire Image Postfire Image 3D Visualizations dNBR or dNDVI Image BARC Image Map Products
Post-Fire Vegetation Management on National Forest 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 fire effects to vegetation (deforestation) Spatially represent forested vs. deforested areas following wildfire Based on Landfire EVT Silviculturists use results as a tool to identify and prioritize land suitable for reforestation 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) Assessment based on RdNBR dNBR – a relative version of 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) Postfire Image RdNBR 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 • dNBR and RdNBR • Burn Severity • 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.fs.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