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WFIGS 2023 Interagency Fire Perimeters to Date
The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the... -
National Potential Operational Delineations (PODs) Public
The National PODs Feature Service is the official depiction of PODs approved by agency administrators. This service is hosted in the National Interagency Fire Center (NIFC)... -
EventLine2019
This is an export of the data archived from the 2022 National Incident Feature Service.Sensitive fields and features have been removed. Each edit to a feature is captured in the... -
USGS Fire Danger Forecast
In a joint effort between the USGS and the U.S. Forest Service, the Fire Danger Forecasting Project focuses on research and development of digital map products suited for... -
Operational Data Archive 2019
This is an export of the data archived from the 2022 National Incident Feature Service.Sensitive fields and features have been removed. Each edit to a feature is captured in the... -
Canopy bulk density (CBD)
DATA OVERVIEW Mapped attributes are above ground biomass, AGB; downed wood biomass, i.e., the sum of coarse and fine woody debris, DWB; canopy bulk density, CBD; canopy... -
USFS Santa Ana Wildfire Threat Index (SAWTI)
The Santa Ana Wildfire Threat Index (SAWTI) categorizes Santa Ana winds based on anticipated fire potential. The index uses a comprehensive, state-of-the-art predictive model... -
Satellite (MODIS) Thermal Hotspots and Fire Activity
This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information... -
CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA
These data consist of high-resolution maps of aboveground biomass at four forested sites in the US: Garcia River Tract in California, Anne Arundel and Howard Counties in... -
ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009
This data set contains forest canopy scan data from the Echidna Validation Instrument (EVI) and field measurements data from three campaigns conducted in the United States: 2007... -
EventLine2017
The National Incident Feature Service (NIFS) is based on the National Wildfire Coordinating Group (NWCG) data standard for Wildland Fire Event. The Wildland Fire Event data... -
WFIGS Interagency Fire Perimeters
This data set is part of an ongoing project to consolidate interagency fire perimeter data. Currently only certified perimeters and new perimeters captured starting in 2021 are... -
GOES Fire Detections
Fire detections from GOES16 and GOES17 satellites. -
Jurisdictional Unit (Public)
Jurisdictional Unit, 2022-05-21. For use with WFDSS, IFTDSS, IRWIN, and InFORM.This is a feature service which provides Identify and Copy Feature capabilities. If fast-drawing... -
Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA
This dataset provides 90-m resolution maps of estimated forest aboveground biomass (Mg/ha) for nominal year 2011 and projections of carbon sequestration potential for the state... -
SDG&E Operational Ensemble GFS 001 WRF
WRF model initialized with GFS boundary conditions and optimized for Santa Ana wind conditions. This model has a 6 km horizontal resolution with 46 vertical levels up to 100 mb. -
WFIGS
This is a test page for WFIGS content -
EventPolygon2017
The National Incident Feature Service (NIFS) is based on the National Wildfire Coordinating Group (NWCG) data standard for Wildland Fire Event. The Wildland Fire Event data... -
California Wildland Fire Direct Protection Areas 2022
Direct Protection Area Polygons (DPA) as approved by the California Wildland Fire Coordinating Group (CWCG) as of May 2022. Each polygon has attribute information indicating the... -
HLS Burn Scar Scenes
Dataset Summary: This dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United...