Refined Cropland Data Layer (R-CDL)

<p>A decision tree algorithm was employed to refine Cropland Data Layer (CDL) using spatial and temporal information. The Refined Cropland Data Layer (R-CDL) could be used as an alternative to researchers as it provides more accurate cropland information.&nbsp;Annual RCDL maps were produced for the contiguous United States from the year 2017 to 2021.</p> <p>To explore the data online and access the web-based services, please visit the project homepage:&nbsp;https://cloud.csiss.gmu.edu/icrop/</p> <p>To read our full paper on RCDL, please visit:&nbsp;https://www.nature.com/articles/s41597-022-01169-w</p> <p>Cite this article:</p> <p>Lin, L., Di, L., Zhang, C.&nbsp;<em>et al.</em>&nbsp;Validation and refinement of cropland data layer using a spatial-temporal decision tree algorithm.&nbsp;<em>Sci Data</em>&nbsp;<strong>9,&nbsp;</strong>63 (2022). https://doi.org/10.1038/s41597-022-01169-w</p> <p>Note:</p> <p>2020 RCDL was reproduced with the Re-released CDL on February 1, 2022. More information could be found at:&nbsp;https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php</p> <p>2021 RCDL was released with the official release of 2021 CDL on February 14, 2022</p> <p>2022 RCDL was released on March 24, 2022</p>