Fast and High-accuracy Cotton Planting Distribution Identification from Sentinel-2 Images based on PIE-Engine Studio

Obtaining the spatial distribution and planting area of cotton quickly and accurately is of great significance for the sustainable development of the cotton industry and the adjustment of crop planting structure. Xinjiang is the largest cotton production base in China. This study realizes the fast and high-precision extraction of cotton planting distribution in Xinjiang based on PIE-Engine Studio remote sensing cloud computing platform using Sentinel-2 multispectral data. The extraction accuracy of cotton reached 96.4%. Crop extraction based on PIE-Engine Studio remote sensing cloud computing platform is convenient, fast and accurate.