Article published in Remote Sensing of Environment

A new article was published by the CaylorLab in Remote Sensing of Environment. In this study, first author Stephanie Debats, along with co-authors Dee Luo, Lyndon Estes and Kelly Caylor, propose a new method to identify agricultural fields using remote sensing data and machine learning. In particular, the novel technique is capable of identifying large, commercial-scale fields as well as smallholder fields, giving a unique insight into sub-saharan agricultural patterns. Providing high-resolution maps of agricultural land cover is key to provide a critical and improved constraint for regional crop productivity and to monitor land cover change.

Go to the article