The use of satellite monitoring and aerial photography data to assess the heterogeneity of agricultural crops in the Khabarovsk Territory
Abstract
Assessment of crop heterogeneity using remote sensing data is an urgent task of digital agriculture. NDVI values were calculated for arable lands of the Khabarovsk Territory from Sentinel-2 images with a resolution of 10m. A cluster analysis of NDVI time series in 2022 was carried out to assess the heterogeneity of soybean, oat, corn and buckwheat crops at the regional level. Two clusters were described for soybeans, one of which represented clogged fields in 2022, and the average seasonal course of NDVI in this cluster in July-August corresponded to fallow lands. For four crops of the Khabarovsk Territory, the characteristics (NDVImax, DOYmax) of the average seasonal course of NDVI and the time series of each cluster were established. A comparative assessment of the heterogeneity of crop development within the same field was carried out using UAV and satellite data, while the NDVI distribution obtained from satellite images corresponds to the spatial distribution of NDVI according to the DJI Mavic3M UAV data. At the next stage of the research, it is planned to analyze the withinfield heterogeneity of crops for other crops of the Khabarovsk Territory using satellite monitoring, which will significantly reduce the cost of obtaining and analyzing UAV images.
