Abstract
The Huaihe River Lasin is vast granary in China, therefore landuse and cropping cycle information is important for water usage and hydrological analysis. In this study, landuse and cropping pattern classification in the Huaihe River Basin is produced from satellite derived vegetation indices (30sec resolution) and surface meteorological data. And agricultural statistic data of 187 prefectures in Henan Province is used for validation. Firstly, using some notable features in the NDVI and NDWI time series, all meshes (1320 × 600) are classified into 7 categories. Secondly, accumulated degree-days temperature data during growing period is calculated from NDVI time series and surface air temperature data, and it is used for cropping type classification. Lastly, VSW (Vegetation, Soil and Water) index is applied for evaluation of the mixed-cell effect. The results of this study show the importance of mixed-cell effect and the availability of VSW index for cropland classification.
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