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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...
This data release contains SnowModel snow evolution simulation output from water years 2022 to 2023 (October 1, 2021, through September 30, 2023) on a 100-meter (m) geospatial grid for a 3 kilometer (km) × 2 km model domain near Coal Creek off Coal Bank Pass in the San Juan Mountains in southwest Colorado, USA. The three quantities simulated for this release were snow water equivalent for the standard model configuration (swe_standard), snow water equivalent for an open canopy model configuration (swe_open), and incoming shortwave radiation for the open canopy model configuration (qsin_open). The simulation used to produce these outputs was forced using meteorology from the National Land Data Assimilation System...
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