Contrasting LANDFIRE with fractional vegetation cover data (RCMAP and RAP)

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Presenters: Matthew Rigge, Josh Picotte, Jon Dewitz, Sarah McCord

The use of Landsat remote sensing-based vegetation classifications has expanded in recent years as product accuracy and accessibility have increased. With the proliferation of available datasets, users often face questions such as 1) the “best” or most appropriate dataset to use for a particular application, 2) differences in project objectives, 3) how to consider discrepancies among datasets, and 4) the reliability of a product within a specific local study area. We will consider these questions in the context of commonly used datasets from LANDFIRE, RCMAP (Rangeland Condition Monitoring Assess. & Projection), and RAP (Rangelands Analysis Platform).