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This paper considers the data, products, and tools implemented in Vega-Science (http://sci-vega.ru/) and Vega-Pro (http://pro-vega.ru/) services, which make it possible to assess agricultural crops condi-tion in different periods of their development. The experience gained at the Space Research Institute of the Russian Academy of Sciences (IKI RAS) allowed creating a methodology for continuous operational monitoring  of  winter  crops,  assessing  their  condition  and  further  development.  This  methodo  logy  is  based on the crop area detection, the determination of vegetation index NDVI dynamics on the lands occupied  by  winter  crops,  and  the  analysis  of  this  information  along  with  meteorological  indicators.  In  addition,  the  analysis  of  more  than  20  years  of  such  data  allowed  us  to  calculate  the  average  long-term patterns of the NDVI time dynamics for each observation area. Deviations of the NDVI patterns are also used as one of the parameters for assessing winter crops condition. On the basis of the authors’ experience,  the  recommendations  are  formulated  for  the  use  of  various  parameters  and  tools  for  as-sessing conditions and development of winter crops in different years and periods. The possibilities of using data analysis tools implemented in the Vega-Science and Vega-Pro services are demon strated by various examples. Among other things, the potential of assessing the winter crops yield is demonstrat-ed. The paper also presents an analysis of the quality of the estimates discussed, which shows extremely high coincidence with the actual observed dynamics of winter crops development.