ASSESSMENT OF HETEROGENEITIES OF DEVELOPMENT OF CROPS IN THE FAR EAST USING REMOTE SENSING DATA

Assessment of crop heterogeneity using remote sensing data is an urgent task of digital agriculture. It is established that the time series of the NDVI seasonal course can be used to assess the heterogeneity of soybean, buckwheat and other crops at the district level. According to the degree of weed infestation of crops on the fields of the Khabarovsk region, three clusters were formed. A comparative assessment of the heterogeneity of crop development within the same field was carried out using data from the UAV and the Sentinel-2.