Remote monitoring of agricultural land using multispectral Sentinel 2 data by contour analysis

This article describes the method of remote monitoring of agricultural land using Sentinel 2 satellite imagery. The NDVI index identifies problem areas of an agricultural field. The local filtering algorithm smoothes images for further processing. An algorithm for filtering images by threshold obtained experimentally is also described. An algorithm for detecting contours by the Rosenfeld method of healthy vegetation is described.