Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images

Abstract : In order to examine the accuracy of large amount of the field survey data with less accurate, an examination method based on multi-resolution satellite images was proposed in this paper. As there were so large amount of data, stratified random sampling was used to obtain effective samples. Firstly, vegetation index derived from low-resolution satellite images at different times has been adopted as analysis factor. And wave curve charts were drawn with the vegetation index. From those charts, the statistics law of wave curves for different crop types was recognized using for crop types’ classification. Secondly, high-resolution satellite images were used to correct the area of crop types to get the final classification results. Finally, the accuracy of the field survey data can be calculated by comparing the original survey data with the final classification results. Moreover, for convenience using, a software has been developed according to the above examination method.
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Yang Liu, Mingyi Du, Wenquan Zhu. Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.681-690, ⟨10.1007/978-3-642-18333-1_82⟩. ⟨hal-01559590⟩

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