( ) , , , CO 2 . NDVI (.Normalized Difference Vegetation Index) GIMMS-3G+ (.Global Inventory Modeling and Mapping Studies-3rd Generation V1.2) 1982-2022 . - ., (31 %) NDVI TIN (.Time Integrated NDVI) 2,10,8 C. TIN 102 %, ~22 %. 2004-2012 . TIN (71 %) SOS (.Start Of the growing Season) (164 ), 2012-2017 . TIN 71 % SOS (243 ). . TIN 71 % 2004-2012 . 2,20,8 C, 5011 303 . TIN 2012-2017 . 3,00,2 C, 1613 243 .

,

( 1998-2024 .) ( 2003-2024 .) MODIS (.Moderate Resolution Imaging Spectroradiometer) SeaWiFS (.Sea-Viewing Wide Field-of-View Sensor), .

, L, . , , . , , , . H(L) . , , , , H(L 1 )H(L 2 ). : L 1 L 2

Landsat-8, -9 2016-2023 . , , . , , NDVI (.Normalized Difference Vegetation Index) LST (.Land Surface Temperature). 11 . , . 5 % 77 % , . NDVI, 54 % LST -7,0 3,6 % . ( 1,5-2,0 ) . . , .

optimal zoning using ERS.In a comprehensive plan, in conditions of uncertainty of assessments of future climate changes and their consequences, there is a need to prepare measures to minimize risks and develop a state strategy for adapting agrotechnological solutions to changes in the spatial heterogeneity of agricultural territories.Monitoring such changes using remote sensing allows for a significant increase in the scale of forecasting the productivity of agricultural lands and increasing the potential effectiveness of operational monitoring of the state of agricultural crops to manage the production process in the space-time continuum.

, , , . : , , . 2024 . , , . - , . Sentinel-3 OLCI (.Ocean and Land Colour Instrument) , 0,9-1 . - 0