Abstract
To identify and extract rice information from remote sensing images rapidly,correctly and objectively,satisfied the needs of rice remote sensing monitoring in a large scale,the spectral reflection characteristic of rice was analyzed by spectral analysis method,based on HJ-1B data.With field survey data,1∶5 million digital elevation model(DEM) data for the auxiliary parameters,a remote sensing information identification model for rice was established.Using decision tree classification method to extract the information of rice.And the rice information was extracted in Binyang country,Guangxi province by using this method.The accuracy of this rice identification model was verified by GPS measured sample data and the precision reached 94.9%,Kappa is 0.8533.Results show that this rice identification technology can provide a technological support for understanding rice planting situation,monitoring rice growing condition and estimating the yield of rice.
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