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

  • Yang Liu
  • Mingyi Du
  • Wenquan Zhu
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 344)

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.

Keywords

Examination method and implementation Stratified random sampling Automatic processing Crop types Multi-resolution satellite images 

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Yang Liu
    • 1
  • Mingyi Du
    • 1
  • Wenquan Zhu
    • 2
  1. 1.School of Geomatics and Urban InformationBeijing University of Civil Engineering and ArchitectureBeijingChina
  2. 2.College of Resources Science and TechnologyBeijing Normal UniversityBeijingChina

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