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LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 200...
This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne LiDAR surveys of locations throughout California between 2005 and...- HTML
- PNG
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Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016
This dataset provides annual maps of aboveground biomass (AGB, Mg/ha) for forests in Washington, Oregon, Idaho, and western Montana, USA, for the years 2000-2016, at a spatial...- HTML
- PNG
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Critical Habitat - Polygon Features - Final
When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas...- HTML
- ArcGIS GeoServices REST API
- GeoJSON
- CSV
- KML
- ZIP
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Critical Habitat - Linear Features - Final
When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas...- HTML
- ArcGIS GeoServices REST API
- GeoJSON
- CSV
- KML
- ZIP
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Critical Habitat - Polygon Features - Proposed
When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas...- HTML
- ArcGIS GeoServices REST API
- GeoJSON
- CSV
- KML
- ZIP
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Critical Habitat - Linear Features - Proposed
When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas...- HTML
- ArcGIS GeoServices REST API
- GeoJSON
- CSV
- KML
- ZIP
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FWS HQ ES Critical Habitat
When a species is proposed for listing as endangered or threatened under the Endangered Species Act, the U.S. Fish and Wildlife Service must consider whether there are areas...- HTML
- ArcGIS GeoServices REST API
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QF Idealized Grass Plots
Idealized Short/Long Fire Ignition on a Homogeneous Grassland Simulation QUIC-Fire - Version: Jan2022 Working alongside Los Alamos National Lab (LANL), Tall Timbers Research...- Zarr
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Hitchiti (Piedmont) Prescribed Fire Ignition With Adjusted Moisture Scenarios
Tall Timbers Research Station partnered with the United States Forest Service (USFS) Southern Research Station and Fish and Wildlife Service (FWS) to collect high resolution...- Zarr
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GOES Fire Detections
Fire detections from GOES16 and GOES17 satellites.- CSV
- WMS
- WFS
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GOES Fire Detections
Fire detections from GOES16 and GOES17 satellites.- CSV
- WMS
- WFS
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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...- HTML
- CSV
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GreenVegetation
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- TIFF
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DryVegetation
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- TIFF
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SurfaceFuels
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- TIFF
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LadderFuelDensity
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- TIFF
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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- TIFF
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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- TIFF
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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- TIFF
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CanopyBulkDensity
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- TIFF
Tento katalog je také dostupný prostřednictvím API (see Dokumentace API).