This raster data depicts the modeled distribution of three grassland states: Biocrust, Grass-bare, and Annualized-bare. We developed models of bare ground, total vegetation, exotic grasses and biological soil crust using spectral data from three year composites of growing season (March-October) Landsat data in Google Earth Engine and field data that were collected over the same period at monitoring sites. The resulting regression models were used to characterize the spatial distribution of putative grassland ecological states across our 251,430 ha study area in and around Canyonlands National Park, UT. This model illustrates how a remote sensing approach to land-cover change can be implemented to guide dryland ecosystem...
Tags: Canyonlands National Park,
Colorado Plateau,
Ecology,
Indian Creek grazing allotment,
Land Use Change, All tags...
Landsat,
Remote Sensing,
USGS Science Data Catalog (SDC),
arid land,
biological soil crust,
ecological state mapping,
grasslands,
land cover change,
state and transition,
vegetation indices,
vegetation monitoring, Fewer tags
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