Abstract
The crop estimates by remote sensing, developing quickly in recent decades, is a up-to-date technique. Regionalization for large area crop estimates by remote sensing, a special applied regionalization, is the foundation of crop estimates in a large area by remote sensing. According to the actual demands of wheat yield estimation by remote sensing and wheat agroclimatic demarcation of China, this paper first puts forward some principles upheld in this regionalization and analyses its main bases. Secondly, it works out the classificatory schemes about the optimum temporal for estimating wheat yield by remote sensing, information sources of space remote sensing and landuse structure in China. Finally, According to the regionalization indices, this study divides the wheat plantable region of China into 14 regions of crop yield estimates and 31 subregions of crop yield estimates.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bausch W. C., 1993. Soil background effect on reflectance-based crop coefficients for corn. Remote Sensing of Environment, 46(2):213–222.
Cui Duchang et al., 1987. Chinese Climatic Regionalization of Agricultural and Forestry Crops. Beijing: Meteorological Press. 4–35. (in Chinese)
Elvidge C. D. et al., 1985. Influence of rock-soil spectral variation on the assessment of green biomass. Remote Sensing of Environment, 17(3):265–279.
Gilabert M. A. et al., 1993. Solar angle and sky light effect on ground reflectance measurements in a citus canopy. Remote Sensing of Environment, 45(3): 281–293.
Guo Huancheng et al., 1991. Chinese agricultural types. In: Agricultural Natural Resources and Agricultural Regionalization of China. Beijing: Agricultural Press. 42–43. (in Chinese)
Huete A. R. et al., 1985. Spectral response of a plant canopy with different soil backgrounds. Remote sensing of Environment, 17(1): 37–53.
Huete A. R. et al., 1991. Assessment of biophysical soil properties through spectral decomposition techniques. Remote Sensing of Environment, 35 (2&3): 149–159.
Huete A. R. et al., 1994 An error and sensitivity analysis of the atmospheric and soil correcting variants of the NDVI for the MODIS EOS. IEEE Transactions on Geoscience and Remote Sensing, 32(4):897–905.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Qian, H. Regionalization for large area crop estimates by remote sensing. Chin. Geograph.Sc. 8, 204–211 (1998). https://doi.org/10.1007/s11769-997-0013-1
Received:
Issue Date:
DOI: https://doi.org/10.1007/s11769-997-0013-1