Arid
THE MONITORING AND DYNAMIC ANALYSIS FOR OTINDAG SANDY LAND BASED ON OBJECT-ORIENTED METHOD
Wu, Junjun; Ding, Xiangyuan; Li, Changlong; Gao, Zhihai; Zhong, Bo
通讯作者Ding, XY (corresponding author), Insights Value Beijing, Beijing 100029, Peoples R China. ; Ding, XY (corresponding author), Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China.
会议名称10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
会议日期AUG 05-07, 2019
会议地点Shanghai, PEOPLES R CHINA
英文摘要Otindag Sandy land is one of the major areas of the Beijing and Tianjin sandstorm resource project. The dynamic change analysis for desertification land is conducive to the whole project implementation and adjustment. Therefore, in order to provide decision support for desertification land monitoring, fractal network evolution (FNEA) segmentation was applied to GF-1 data, and decision tree and support vector machine (SVM) classification methods were used to analyze the sandy land dynamic change in Otindag sandy land. The results showed that the total area of Otindag sandy land was 20542 km(2) in 2013, which reduced by 5.48%, compared with that in 2002. It demonstrated that the Beijing and Tianjin sandstorm resource project had played a positive effect in nearly a decade, but some areas such as the hinderland of the Otindag sandy land were still deteriorated. The second phase of the Beijing and tianjin sandstorm resource program has been launched, it was wished to be useful for the further improvement and providing basic decision-making.
英文关键词GF-1 Otindag sandy land dynamic monitoring fractal network evolution
来源出版物2019 10TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP)
出版年2019
ISBN978-1-7281-4615-7
出版者IEEE
类型Proceedings Paper
语种英语
收录类别CPCI-S
WOS记录号WOS:000587591800002
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/369977
作者单位[Wu, Junjun; Zhong, Bo] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Ding, Xiangyuan] Insights Value Beijing, Beijing 100029, Peoples R China; [Li, Changlong] State Acad Forestry Adm, Beijing 102600, Peoples R China; [Ding, Xiangyuan; Gao, Zhihai] Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China
推荐引用方式
GB/T 7714
Wu, Junjun,Ding, Xiangyuan,Li, Changlong,et al. THE MONITORING AND DYNAMIC ANALYSIS FOR OTINDAG SANDY LAND BASED ON OBJECT-ORIENTED METHOD[C]:IEEE,2019.
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