Using Google Earth Engine for the purposes of agroecological assessment of lands on the example of agrolandscapes of Mostovskiy district of Krasnodar Krai

The possibilities of using the Google Earth Engine web platform as a tool for working with spatial data are described using the development of the Adaptive Landscape Farming Systems (ALFS) project for enterprises in the Mostovskiy district of Krasnodar Krai as an example. The list of service features for optimizing the process of agroecological assessment of agricultural land is presented. The main datasets of the GEE catalog are described, the use of which allows to obtain preliminary information on the spatial heterogeneity of lands and their agroclimatic potential. The method of generating average annual productivity cartograms from Sentinel-2 MSI-2A satellite images using NDVI and MCARI vegetation indices with their aggregation is considered. During the field verification of the average annual productivity cartograms it was found that in most cases the zones of stable low vegetation of plants for the period 2015–2023 corresponded to the contours of over-watered meadow-chernozem soils. In the conditions of the Caucasian foothills and excessive precipitation (average 876 mm per year according to ERA-5 land data) they were the worst lands on the territory of the enterprise, which was expressed in the reduction of crop productivity. The results obtained were obtained by using the GEE service for the analysis of agro-ecological conditions. Within the framework of the ALSW project development, the use of the platform helps to solve a number of analytical tasks and ensures high speed and quality of data acquisition.

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