Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-655-2026
https://doi.org/10.5194/essd-18-655-2026
Data description paper
 | 
26 Jan 2026
Data description paper |  | 26 Jan 2026

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

Sakshi Saraf, Ranjeet John, Venkatesh Kolluru, Khushboo Jain, Geoffrey M. Henebry, Jiquan Chen, and Raffaele Lafortezza

Data sets

Spatiotemporal mapping of invasive yellow sweetclover blooms using Sentinel-2 and high-resolution drone imagery Sakshi Saraf et al. https://doi.org/10.6084/m9.figshare.29270759.v1

Model code and software

Spatiotemporal mapping of invasive yellow sweetclover blooms using Sentinel-2 and high-resolution drone imagery Sakshi Saraf et al. https://doi.org/10.6084/m9.figshare.29270759.v1

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Short summary
We developed the maps to identify the spread of an invasive plant, yellow sweetclover, in western South Dakota from 2016 to 2023 using satellite and drone imagery. Our study reveals that the plant blooms widely during wet years and is often found near roads and moist areas. The percent cover maps developed using field data, drone images, and machine learning models would help land managers detect and control this invasive species, protecting Northern Great Plains grasslands.
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