Spatiotemporal mapping of invasive yellow sweetclover blooms using Sentinel-2 and high-resolution drone imagery

We developed a database for the invasive yellow sweetclover (MEOF) percent cover estimates at high-resolution of 10m for western South Dakota during 2016-2023 using vegetation proxies, climatic, topographic, and other biophysical variables. The database could assist local land managers and government officials pinpoint locations requiring timely land management to control the rapid spread of MEOF in the Northern Great Plains.The repository has two folders: the first folder named “resampled predicted cover maps” contains predicted percent cover maps of invasive MEOF resampled at 20m resolution due to size limitations. We can provide the original 10m resolution images upon request. Each file is saved in GeoTiff format in the Albers Conic Equal Area projection. Each file is saved with an acronym of ‘m’ for MEOF followed by an underscore and a year. Missing data are represented by “No data”. The other folder named “sample_code_and_data” contains the R code and an exemplary sample data to predict the MEOF percent cover.