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Extraction of cropland information based on multi-temporal TM images |
| XU Chao1, ZHAN Jinrui2, PAN Yaozhong3, ZHU Wenquan3 |
1. Guangzhou Insititue of Energy Conversion, Chinese Academy Science, Guangzhou 510640, China;
2. Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China;
3. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China |
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Abstract This paper proposed a method for extracting cropland based on multi-temporal TM images. Modified normalized difference water index was used to water body extraction; through the change vector analysis of posterior probability space, the information of grassland, artificial surface and woodland was acquired. Cropland result of Tongzhou District of Beijing extracted by the method was assessed by vector data from historical high resolution images. It is shown that the cropland result has high accuracy and can update historical data. Based on precision evaluation, the authors have found that the overall accuracy and Kappa coefficient of classification image are both higher than 90%. The error direction analysis shows that the possibility of cropland omission is small.
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| Keywords
ALOS
vegetation index
vegetation sample-based vegetation index(VSVI)
vegetation coverage
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Issue Date: 21 October 2013
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2013,
Vol. 25
