Современные проблемы дистанционного зондирования Земли из космоса. 2020. Т. 17. № 6. С. 129-136
Utilizing satellite data of several spectral ranges for modelling the processes of water and heat regime formation of vast territories
E.L. Muzylev
1 , Z.P. Startseva
1 , E.V. Volkova
2 , E.V. Vasilenko
2 1 Water Problems Institute RAS, Moscow, Russia
2 State Research Centre of Space Hydrometeorology “Planeta”, Moscow, Russia
Одобрена к печати: 15.09.2020
DOI: 10.21046/2070-7401-2020-17-6-129-136
A method was developed for assessing soil water content W (as basic indicator of water availability), evapotranspiration Ev, and other water and heat regime (WHR) elements of agricultural regions during vegetation season (VS). The base of the method is the physical-mathematical model of land surface-atmosphere water and heat exchange adapted to satellite-derived estimates of vegetation and meteorological characteristics (VMC). These estimates used as model parameters and input variables were obtained by thematic processing data from radiometers-scanners AVHRR/NOAA, SEVIRI/Meteosat-10, -11, -8, and MSU-MR/Meteor-M No. 2 in the visible and IR ranges. Soil surface moisture (SSM) estimates used to calculate W were produced from measurements of scatterometer ASCAT/MetOp in the microwave range. The case study were carried out for forest-steppe territory of 2 27 300 km2 located in the Black Earth Region of European Russia and for arid steppe territory of the Saratov and Volgograd Trans-Volga region of 66 600 km2 for VS of 2016-2018. The main results of the study are: procedures to assimilate satellite-derived VMC estimates in the model were developed; the possibilities to use ASCAT-derived SSM estimates for calculating W were confirmed; W, Ev and other WHR characteristic estimates were obtained for the named VS as distributions over the area under study.
Ключевые слова: satellite data, land surface model, water and heat regimes, soil water content, evapotranspiration, soil surface moisture, precipitation, land surface temperature, vegetation index NDVI, leaf area index LAI, vegetation cover fraction
Полный текстСписок литературы:
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