-
SDG&E Operational Ensemble GFS 001 Dead Fuel Moisture NFDRS
Dead fuel moisture and related variables derived from the National Fire Danger Rating System (NFDRS) algorithms using the SDG&E Operational Ensemble GFS 001 WRF model. -
CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA, 2013
This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass... -
CanopyHeight
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data -
SDG&E Daily Weather Station Wind Gust Forecast
Four-day wind gust forecasts for weather stations in the SDG&E weather network. Uses a mix of machine learning techniques and a WRF-derived wind gust algorithm to determine... -
InFORM Fire Occurrence Data Records
This data set is part of an ongoing project to consolidate interagency fire perimeter data. The record is complete from the present back to 2020. The incorporation of all... -
Wildland Fire Incident Locations
The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the... -
EventPolygon2018
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... -
SDG&E Outage Potential Index (Experimental)
Outage prediction tool that correlates historical weather data, weather forecast output from the GFS 003 WRF model, and historical outage data to create a 96-hour forecast... -
CanopyCover
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data -
Operational Data Archive 2022
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... -
Fuel and fuel consumption maps for the Kaibab Plateau in 2012, 2019, and 2020
Data Overview These maps were created to estimate fuel loads across the Kaibab Plateau and fuel consumption across the 2019 Castle and Ikes Fires in northern Arizona, USA. For... -
Historic GeoMAC Perimeters 2019
The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current fire... -
Tepee Fire Fuel and Fuel Consumption
Data Overview Mapped attributes: Fuel consumption derived from ALS data Post-fire fuel load derived from ALS data Pre-fire fuel load derived from ALS data Fuel consumption... -
MODIS MCD14DL
Near real-time (NRT) Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies / Fire locations - Collection 6 processed by NASA's Land, Atmosphere Near real-time... -
National IA Frequency Zones (International)
Initial attack frequency zones are used by pilots and dispatchers for purposes of response to incidents such as wildland fires. Use of international initial attack frequency... -
PerimeterLine2022
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... -
PODs Line
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)... -
CanopyLayerCount
Predictions of the geography and intensity of simulated wildfires, as well as post-fire burn severity measurements. Read more at https://the.forestobservatory.com/data -
Operational Data Archive 2020
This is an export of the data archived from the 2020 National Incident Feature Service. Sensitive fields and features have been removed. Each edit to a feature is captured in... -
SDG&E Operational Ensemble NAM 001 Dead Fuel Moisture NFDRS
Dead fuel moisture and related variables derived from the National Fire Danger Rating System (NFDRS) algorithms using the SDG&E Operational Ensemble NAM 001 WRF model.