| 摘 要： |
Jianghan Plain is a traditional paddy rice cropping area in southern China, consisting of single-cropping rice (SCR) and double-cropping rice (DCR). In recent years, the integrated farming of rice and crayfish (IRC) has developed rapidly in the area. The purpose of this study was to employ multiple vegetation indices derived from Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data to update the rice cropping pattern map of the Jianghan Plain. The Enhanced Vegetation Index combined with Normalized Difference Vegetation Index and Land Surface Water Index was applied to extract the phenological stages of paddy fields based on their spectral signatures. Then, the spatial distribution of SCR, DCR, and IRC was mapped by the phenology-based algorithm. The spatial comparison between MODIS-based mapping results and high spatial-resolution data showed that the overall classification accuracy (CA) was 91.69%. The CA of SCR, DCR, and IRC was 91.25%, 92.00%, and 92.50%, respectively. The total MODIS-derived rice area had a good quantitative consistency with statistical data (R-2 = 0.86, P < 0.01) and land-use data (R-2 = 0.63, P < 0.01). The research demonstrated the promise of the MODIS dataset in mapping croplands mixed with paddy fields and rice-crayfish fields over large areas. |
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