EXPERIMENTAL RESEARCH ON RICE PLANTING AREA OF HILLY REGION IN SOUTHERN CHINA USING REMOTELY SENSED DATA

Taking Zhejiang Province as the experimental area, the experimental research on rice planting area of hilly region in southern China is carried out by using NOAA/AVHRR data. The main contents concern the contrast tests on the practical approaches. Both digital elevation model (DEM) and digital slope model (DSM) derived from the digital relief map are used for the purpose of improving the classification accuracy of AVHRR data in large-area hilly region. The results show that the accuracies of maximum-likelihood (MLH) classification could satisfy the professional requirements of estimating rice planting area, and fuzzy supervised classification (FSC) has better classification accuracy and stability than that of MLH. In addition, DSM may improve the results of extracting paddy field signatures from AVHRR, particularly may improve the spatial precision.