Remote monitoring of agricultural land using multispectral satellite imagery Sentinel 2 by contour analysis
R HamdamovTashkent University of Information Technologies named after Muhammad alKhwarizmi, 17A, Buz-2, Tashkent 100125, UzbekistanХошим РахмановTashkent University of Information Technologies named after Muhammad alKhwarizmi, 17A, Buz-2, Tashkent 100125, Uzbekistan
ABI
Abstract
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.
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