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This USGS Data Release section presents tipping-bucket rain gage data collected following the 2000 Cerro Grande Fire near Los Alamos, New Mexico. Further details are provided in https://onlinelibrary.wiley.com/doi/10.1002/hyp.6806.
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene-level products. Prior to generating annual composites, individual scenes that had > 0.010 burned proportion...
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Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We sought to (1) characterize patterns in the rate of post-fire, dual season Normalized Difference Vegetation Index (NDVI) across the region, (2) relate remotely sensed patterns to field-measured patterns of re-vegetation, and (3) identify seasonally-specific drivers of post-fire rates of NDVI recovery. Rates of post-fire...
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Rain-gages are critical instrumentation for documenting the rainfall forcing of post-wildfire hydrologic, erosional, and water-quality response. This USGS Data Release presents tipping-bucket rain gage data following two wildfires: the 2000 Cerro Grande Fire near Los Alamos, New Mexico and the 2010 Fourmile Canyon Fire near Boulder, Colorado. The data presented in this USGS Data Release are used for analyses that demonstrate important concepts in precipitation characteristics that relate to temporal and spatial scales. Further information regarding the location and data processing are available in the metadata.


    map background search result map search result map Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S. The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) Post-wildfire rain gage data for Fourmile Canyon, Colorado and Rendija Canyon, New Mexico Post-wildfire rain gage data for Rendija Canyon, New Mexico Post-wildfire rain gage data for Rendija Canyon, New Mexico Post-wildfire rain gage data for Fourmile Canyon, Colorado and Rendija Canyon, New Mexico Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S. The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024)