Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 1, pp. 267-273
The possibility of using of satellite soil moisture data in the analysis of spring wheat productivity (with an example from the Saratov region)
E.A. Cherenkova
1, A.A. Cherenkova
21 Institute of Geography, RAS, Moscow, Russia
2 Lomonosov Moscow State University, Moscow, Russia
Multiple linear regression model for spring wheat productivity was designed using observations of decade and monthly mean air temperature and precipitation at 8 meteorological stations of Saratov region and satellite data of soil moisture in the period 1992–2010. Also we used Selyaninov hydrothermal coefficient and Palmer Drought Severity Index. It is shown that the satellite soil moisture data improves model productivity of spring wheat.
Keywords: методы математической статистики, спутниковые данные влажности почвы (SWI), урожайность, яровая пшеница, Саратовская область, statistical methods, satellite data of soil moisture (SWI), productivity, spring wheat, Saratov region
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