Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2010, Vol. 7, No. 3, pp. 275-285
Crop yield forecasting based on satellite data: opportunities and
perspectives
I. Savin
, S. Bartalev
, E. Loupian
, V. Tolpin
, S. Khvostikov
Space Research Institute of Russian Academy of Sciences, 117997 Moscow, Profsoyuznaya str., 84/32
Specifics of application of satellite data for crop yield forecasting at oblast and administrative raion level has been
investigated. Three groups of predictive methods have been analyzed: method of year-analogue, regression analysis,
and imitative crop growth modeling. Advantages and disadvantages of the methods have been analyzed based on
concrete examples. Perspectives of the methods developments and improvements are discussed.
Keywords: crop yield forecasting, satellite data, NDVI, MODIS
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