Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 170-177
Use of remotely-sensed data for modeling of physiological process
of plants in the simulation models of forecasting of productivity of
agricultural crops
A. D. Kleshenko
, T. A. Naidina
All-Russian Research Institute of Agricultural Meteorology, 249038, Obninsk, 82 Lenins avenue
The opportunities to use of the remotely-sensed data in the simulation models of forecasting of productivity of agricultural crops are considered. The interrelation of the ground and satellite data is established. It is shown, that normalized difference vegetation index (NDVI) of arable lands well enough reflects a seasonal course of photosynthesis of agricultural crops. The equation of calculation of the leaf area index on the satellite data for grain crops is obtained. The results to use of the remotely-sensed data in the working simulation model of forecasting of productivity of spring wheat are submitted.
Keywords: remotely-sensed data, simulation model, productivity, normalized difference vegetation index (NDVI), photosynthesis
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