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 ) pr oject for enterprises in the Mostovskiy district of Krasnodar Krai as an example . The list of service featur es for optimizing the process of agr oecological assessment of agricultural land is pr esented . The main datas ets of the GEE catalog are described , the use of which allows to obtain pr eliminary information on the spa tial heterogeneity of lands and their agr oclimatic potential . The method of generating average annual productivity cartograms fr om Sentinel -2 MSI-2 A satellite images using NDVI and MCARI vegetation indices with their aggr egation is considered . During the field verification of the average annual pr oductivity carto grams it was found that in most cases the zones of stable low vegetation of plants for the period 2015–2023 corr esponded to the contours of over - watered meadow-chernozem soils . In the conditions of the Caucasian foothills and excessive pr ecipitation ( average 876 mm per year according to ERA -5 land data ) they wer e the worst lands on the territory of the enterprise , which was expr essed in the r eduction of crop pr oductivity . The r esults obtained wer e obtained by using the GEE service for the analysis of agro- ecological conditions . W ithin the framework of the ALSW pr oject development , the use of the platform helps to solve a number of analytical tasks and ensures high speed and quality of data acquisition.