Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine

ABSTRACT: Cover crops are a critical agricultural practice that can improve soil quality, enhance crop yields, and reduce nitrogen and phosphorus losses from farms. Yet there is limited understanding of the extent to which cover crops have been adopted across large spatial and temporal scales. Remote sensing offers a low-cost way to monitor cover crop adoption at the field scale and at large spatio-temporal scales. To date, most studies using satellite data have mapped the presence of cover crops, but have not identified specific cover crop species, which is important because cover crops of different plant functional types (e.g., legumes, grasses) perform different ecosystem functions. Here we use Sentinel-2 satellite data and a random forest classifier to map the cover crop species cereal rye and r

SUBMITTER:  

PROVIDER: S-EPMC10474576 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature