Research has shown that the use of multitemporal images could obtain better classification over single date images and that seasonal variation of the normalized difference vegetation index (NDVI) could help improve classification accuracy. On consideration of different crop phenology
and the seasonal changing characteristics of vegetation, water and bare soil indices from the Landsat Thematic Mapper (TM) images, the present paper uses multitemporal NDXI (NDVI, normalized difference water index (NDWI) and normalized difference soil index (NDSI)) to discriminate different
landuse types in a rice planting area. From a comparison of the overall accuracy, Kappa coefficient and producer and user accuracies of different approaches, it is found that the NDXI approach is superior to the traditional classification that uses the original un-transformed images in the
discrimination of different landuse types and agricultural land types in the rice planting area. The approach is expected to be more applicable to multitemporal Moderate Resolution Imaging Spectroradiometer (MODIS) images and to be used in discriminating different cropping systems in paddy
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Document Type: Research Article
Japan International Research Center for Agricultural Sciences, Tsukuba, Japan,Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
Japan International Research Center for Agricultural Sciences, Tsukuba, Japan
Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
Publication date: 2010-04-01
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