Abstract
A methodological approach to forecasting rice yield based on using MODIS satellite data in combination with meteorological information is given. Underlying the approach is modeling the accumulation of rice biomass during growth and development. Rice yield is predicted in the middle of the growing season.
Similar content being viewed by others
References
Royer, A., Genovese, G. (Eds.), Methodology of the MARS Crop Yield Forecasting System. Vol. 3. Remote Sensing Data Processing and Analysis, OPOCE, Luxembourg, 2004.
deWit, A., Regional Crop Yield Forecasting Using Probabilistic Crop Growth Modeling and Remote Sensing Data Assimilation, WaY: Wageninger, 2007, p. 155.
Savin, I.Yu. and Barus, B., Operational Monitoring of Rice Crop Areas in Kalmykia on the Basis of MODIS Data, Issled. Zemli Kosmos., 2009, no. 5, pp. 66–74.
Nichiporovich, A.A., Ways to Increase Productivity of Photosynthesis of Plants in Crops, v sb.: Fotosintez i voprosy produktivnosti rastenii (in collection: Photosynthesis and Problems of Plant Productivity), Moscow: Akad. Nauk SSSR, 1963.
Monteith, J.L., Climate and the Efficiency of Crop Production in Britain, Phil. Trans. R. Soc. London, Ser. B. Biol. Sci., 1980, vol. 28, pp. 277–294.
Rosema, A., Verhees, L., van Putten, E., Gielen, H., Lack, T., Wood, J., Lane, A., Fannon, J., Estrela, T., Dimas, M., de Bruin, H., Moene, A., and Meijininger, W., European Energy and Water Balance Monitoring System. EU Final Report, Contract ENV-2001. CT97-0478.
Yin, X., Kropff, M.J., McLaren, G., and Visperas, R.M., A Nonlinear Model for Crop Development as a Function of Temperature, Agr. Forest Meteorol., 1995, vol. 77, pp. 1–16.
Choudhury, B.J., Modeling Radiation- and Carbon-Use Efficiencies of Maize, Sorghum, and Rice, Agr. Forest Meteorol., 2001, vol. 106, pp. 317–330.
Kayumov, M.K., Programmirovanie urozhaev sel’skokhozyaistvennykh kul’tur (Programming Crop Yields), Moscow: Agropromizdat, 1989, p. 320.
Gabron, N., Pinty, B., Taberner, M., Mulin, F., Verstraete, M.M., and Widlawski, J.-L., Monitoring the Photosynthetic Activity of Vegetation from Remote Sensing Data, Adv. Space Res., 2006, vol. 38, pp. 2196–2202.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © I.Yu. Savin, V.A. Isaev, 2010, published in Doklady Rossiiskoi Akademii Sel’skokhozyaistvennykh Nauk, 2010, No. 6, pp. 24–26.
About this article
Cite this article
Savin, I.Y., Isaev, V.A. Rice yield forecast based on satellite and meteorological data. Russ. Agricult. Sci. 36, 424–427 (2010). https://doi.org/10.3103/S1068367410060108
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1068367410060108