Spatial Distribution of Rice Planting Based on Data Fusion Model in Southern China

Abstract

Acquiring the real and accurate spatial distribution of rice planting in the agricultural area of the basin is the precondition of implementing precision agricultural management, and the basis of building the database of agricultural non-point source pollution risk control and management. In order to overcome the characteristics of scattered rice distribution in southern China, such as small planting area, and instantaneous and periodicity of satellite sensor imaging, ESTARFM model was used to fuse NDVI data of MODIS09A1 and Landsat 8. The NDVI image data with both high spatial resolution and high temporal resolution were obtained after fused. The conditions and thresholds of decision tree classification method were determined with the help of curve feature information of NDVI indices of various crops in the growing period. The main results as follows: The spatial distribution of paddy ecosystem was extracted by multi-source data fusion and decision tree classification to meet the accuracy verification requirements; three cropping patterns, early rice, middle-season rice and late rice were extracted.