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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 6, pp. 17-34

Utilization of remote sensing data for modeling water and heat balance components of the Russian Central Black Earth Region territory

E.L. Muzylev 1 , A.B. Uspensky 2 , Z.P. Startseva 1 , E.V. Volkova 2  , A.V. Kukharsky 2 , S.A. Uspensky 2 
1 Water Problems Institute RAS, Moscow, Russia
2 State Research Centre of Space Hydrometeorology “Planeta” , Moscow, Russia
A method has been developed for assessing soil water content, evapotranspiration and other water and heat balance components of a vast territory based on the physical-mathematical model of water and heat exchange of vegetation covered land areas with atmosphere (LSM, Land Surface Model) using satellite data on land surface and meteorological conditions. Soil and vegetation characteristics are considered to be the model parameters and meteorological characteristics are the input variables. Their values have been derived from ground-observed or AVHRR/NOAA, MODIS/EOS Terra and Aqua, SEVIRI/Meteosat-9, -10 data. These include three types of land surface temperature (LST) (land-surface skin temperature Tsg, air foliage temperature Ta, and efficient radiation temperature Ts.eff or Tls), emissivity E, normalized difference vegetation index NDVI, vegetation cover fraction B, leaf area index LAI, cloudiness, and precipitation. The methods and technologies have been developed or refined to retrieve estimates of these characteristics by thematic processing of satellite data. The efficiency control of these technologies for the study area of the Russian Central Black Earth Region of 227,300 km2 has been carried out. The techniques to assimilate satellite-derived estimates in the model have been also been developed. Using the model adapted to the satellite data, there have been calculated soil water content, evapotranspiration and other components of water and heat balance of the study territory for 2009–2012 vegetation seasons.
Keywords: LS Model, satellite data, AVHRR, MODIS, SEVIRI, land surface, leaf area index, temperature, precipitation, soil water content, evapotranspiration
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