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Abstract: Abstract Traditiona l methods always use NDVI to extract rice from remote sensing images, for example TM. However, little research focusses on introducing a moisture index into rice extraction. This paper introduced NDII and NDVI respectively to extract rice based on a TM image of a rice and ginkgo mixed area, and compared their ability in distinguishing rice and ginkgo from two aspects: position accuracy and regional accuracy. Research results show that: (1) NDII has the higher ability to distinguish rice and ginkgo; (2) rice extraction results from NDII are both better than results from NDVI, whether position accuracy or whole accuracy.