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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, 2017, Vol. 14, No. 6, pp. 108-136

Using remote sensing data to model water and heat regimes of rural territories

E.L. Muzylev 1 , Z.P. Startseva 1 , A.B. Uspensky 2 , E.V. Volkova 2 , E.V. Vasilenko 2 , A.V. Kukharsky 2 , A.M. Zeiliger 3 , O.S. Ermolaeva 3 
1 Water Problems Institute RAS, Moscow, Russia
2 State Research Center of Space Hydrometeorology “Planeta”, Moscow, Russia
3 Russian State Agrarian University - MTAA, Moscow, Russia
Accepted: 08.12.2017
DOI: 10.21046/2070-7401-2017-14-6-108-136
The paper presents the results of utilizing estimates of vegetation and meteorological characteristics obtained from measurements by radiometers AVHRR/NOAA (1997–2016), MODIS/EOS Terra and Aqua (2004–2016), SEVIRI/Meteosat-9, -10 (2009–2016), MSU-MR/Meteor-M No. 2 (2015–2016), and ASCAT/MetOp-B scatterometer (2014–2016) in physical-mathematical models of water and heat regime formation (SVAT and SWAP) for different agricultural areas for the vegetation season. The developed or refined methods and technologies of thematic processing satellite data and building above estimates are described. The estimated characteristics include normalized difference vegetation index NDVI, vegetation cover fraction B, leaf area index LAI, emissivity E, three types of land surface temperature (LST) (land-surface skin temperature Tg, air foliage temperature Ta, and efficient radiation temperature Ts.eff or Tls), precipitation as well as soil surface humidity. LAI and B are model parameters and LST and precipitation are input variables. Their values are introduced into the model. Using the SVAT model, soil water content W, evapotranspiration Ev, vertical heat and moisture fluxes and other water and heat regime characteristics have been calculated for 1997–2016 vegetation seasons. The error of the obtained estimates has been within the permissible limits. It has been also investigated whether the soil surface humidity estimates obtained from the ASCAT/MetOp-B scatterometer data can be used in the SVAT model to determine the initial and upper boundary conditions for the equation of vertical soil water transfer in the aeration zone of the soil layer.
SWAP and FAO 56 models have been used to evaluate the dynamics of soil water content of root-inhabited soil layer, the crop transpiration and the soil surface evaporation, as well as the water stress of agricultural cenosises and their water needs under different meteorological conditions for the 2012 vegetation season. The combination of satellite- and ground-based investigation results has made it possible to develop methodology for assessing the water efficiency of agricultural crop irrigation as well as technology for operational irrigation management.
The case study has been carried out for several territories located in the forest-steppe and steppe zones of Russia: the Seim River basin (Kursk region) with area of 7460 km2 (for 1997–2008 vegetation seasons); part of the Central Black Earth zone of the European Russia, including its 7 regions with total area of 227 300 km2 (for 2009–2016 vegetation seasons) and the Marx district of the Saratov region with area of about 700 km2 (for 2012 vegetation season).
Keywords: modeling, thematic processing satellite data, soil water content, evapotranspiration, transpiration, land surface temperature, precipitation, leaf area index, vegetation cover fraction, irrigation water efficiency, space-temporal analysis
Full text

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