Researches of agricultural droughts require long–term of atmospheric, hydrological and meteorological data. On the other hand, today, the possibilities of using spectral data in environmental researches are indicated. The development of remote sensing techniques, increasing the spectral and spatial resolution of data allows to use remote sensing data in the study of water content in the environment. The paper presents the results of the analysis of moisture content of soil–plant environment in the lowland areas of river valley using spectral data from Sentinel–2. The analyzes were conducted between February to November 2016. The spectral data were used to calculate the Normalize Differential Vegetation Index (NDVI) which provided information about moisture content of the soil–plant environment. The analyzes were provided only on grasslands in the terms on 22 objects, located on the research area in the Oder river valley between Malczyce and Brzeg–Dolny, Poland. NDVI values were correlated with hydrological and meteorological parameters. The analyzes showed spatial and temporal variability of the moisture conditions in the soil–plant environment showed by the NDVI variability and existence some relationships between climatic and spectral indices characterizing the moisture content in the environment.