Remote sensing monitoring of rural residential land based on RapidEye satellite images: A case study of Taihe County, Jiangxi Province
GAO Mengxu1, WANG Juanle1,3, BAI Zhongqiang1,2, ZHU Junxiang1,2
1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
The monitoring of the spatial and temporal changes of rural residents is of great significance in serving "three rural issues", land and resources management based on rural remote sensing information. In order to monitor the residential area especially the rural area by using remote sensing technology, the authors chose Taihe County in Jiangxi Province as the study area. On the basis of the RapidEye satellite images after ortho-rectification with spatial resolution of 5 meters, the residential land classification extraction and accuracy evaluation were carried out using the maximum likelihood method. The results showed that the overall classification accuracy reached 84.33%. The producer's accuracy and user's accuracy of the residential land were 76.01% and 82.28% respectively, and the consistency reached 71.0% in comparison with the residential land data of Taihe County in the second national land survey, and the possible causes of errors were also analyzed. The research results show that the resident land monitoring of rural counties using RapidEye images of 5 meters resolution is feasible in that it can provide reference for future similar studies.
高孟绪, 王卷乐, 柏中强, 祝俊祥. 基于RapidEye影像的农村居民地遥感监测——以江西省泰和县为例[J]. 国土资源遥感, 2016, 28(1): 130-135.
GAO Mengxu, WANG Juanle, BAI Zhongqiang, ZHU Junxiang. Remote sensing monitoring of rural residential land based on RapidEye satellite images: A case study of Taihe County, Jiangxi Province. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 130-135.
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2016, Vol. 28 
