The article presents the most recent results of grain crops’ status monitoring based on remote sensing data on the example of the south part of Western Siberia. <...> Citation: Sakharova E.Yu., Sladkikh L.A., Kulik E.N. Satellite monitoring of grain crops in the south part of Western Siberia, J. Sib. <...> Ключевые слова: дистанционное зондирование, мониторинг растительности, вегетационный индекс. © Siberian Federal University. <...> All rights reserved * Corresponding author E-mail address: e.n.kulik@ssga.ru # 1019 # Elena Yu. <...> Sakharova, Lyubov A. Sladkikh… Satellite Monitoring of Grain Crops in the South Part of Western Siberia Introduction Satellite data usage allows to track grain crops’ status: to monitor the crops progress dynamics, the change detection of crops status, to diagnose the plant response to weather factors or pests, to keep watch over growing seasons, etc. <...> For the crops status estimation vegetation indices (NDVI) were calculated on satellite data base. <...> The indices represent the general activity of vegetation. <...> The Siberian center (SC) FGBU “SRC “Planeta” has been using remote sensing data for agricultural tasks since 2005. <...> The experiments took place on the test farms of Novosibirsk Region and let accumulate a large amount of vegetation index values [1, 2]. <...> The table shows the results of forecast accuracy estimation within the farms of Novosibirsk Region; moreover, forecast accuracy was also evaluated for each district and within the whole region. <...> Grain crops status estimation Within the period from 2001 to 2011 the found stable NDVI – crop yield dependence, accumulated NDVI values database within the test fi elds and extended statistical database of grain crops’ yield were the basis for the further research. <...> Originally the farms with different farming level were selected for the research in accordance with agro-climatic zoning of Novosibirsk region. <...> Later the algorithm of grain crops’ status estimation was formed based on the data analysis of yields prediction results. <...> This algorithm was compiled as the software modules in IDL and it uses the functionality of ENVI software system and MODIS Conversion Tool Kit. <...> Estimation algorithm based on satellite data use enables to divide the crops into three gradations particularly used in agrometeorology: depression, moderate <...>