Land cover dynamic change in the Napahai Basin using the optimized random forest model
文献类型：期刊论文
| 作者 | Bai, Chunyu1; He, Hongming1,2,3; Li, Yu4 ; He, Wenming5; Zhao, Hongfei1; Mokhtar, Ali1,2,6; Keo, Soksamnang1,2; Zhang, Chuangjuan1,2; Ma, Yue1; He, Qilin2
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| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
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| 出版日期 | 2019-11-22 |
| 卷号 | 13期号:4页码:18 |
| 关键词 | remote sensing interpretation optimized random forest model land cover wetland landscape |
| ISSN号 | 1931-3195 |
| DOI | 10.1117/1.JRS.13.044518 |
| 通讯作者 | He, Hongming(hongming.he@yahoo.com) ; Li, Yu(liy@igsnrr.ac.cn) |
| 英文摘要 | Based on the optimized random forest (ORF) model proposed in our research, data of the Landsat-OLI, Landsat-TM images, and digital elevation model were used by us to obtain the land cover maps during several periods in the Napahai Basin. Model performance testing results show that producer accuracy and kappa coefficient of the ORF approach are 0.916 and 0.903, which are higher than the traditional maximum likelihood method. Furthermore, we analyzed the characteristic of land cover dynamic change and seasonal variation of wetlands landscape in 2002 and 2017, and revealed their driving mechanisms and ecological response process. The conclusions are as follows: (1) Lake area expanded in the past 15 years because of increased glacial runoff generated from global warming. Construction land and farmland replaced wetland areas in the middle and downstream regions. Moreover, due to the limitation of hydrothermal conditions in the canyon, few forests in the northeastern basin transferred to shrubs. (2) Dam, which was constructed in northern Napahai lake, controls water storage and made the lake area stable after 2013, so, area change percentage in 2017 from wet to dry season is lower than 2002. The wetland region in the central and downstream basin was synthetically affected by climate change and drainage projects, so its environment condition becomes dryer, and vegetation communities' succession shows a reversed process. (3) Ecological problems in the Napahai Basin were mainly reflected at aspects of agricultural nonpoint source pollution, overgrazing, and urbanization. These factors affected lake, soil, and groundwater in the Napahai Basin and destroyed the ecological health of wetland landscapes. Therefore, in order to realize sustainable development environmental resources, local government should propose the effective policies to restore the degraded ecosystem and protect natural wetland. (C) 2019 Society of Photo Optical Instrumentation Engineers (SPIE) |
| WOS关键词 | NEURAL-NETWORK ; URBAN SPRAWL ; FEATURE-SELECTION ; CLASSIFICATION ; VEGETATION ; WATER ; SEGMENTATION ; IMAGES ; LEVEL |
| 资助项目 | National Key Research and Development Program[2017YFC0505200] ; National Key Research and Development Program[2017YFC0505205] ; Projects of the National Natural Science Foundation of China[41672180] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23020603] ; Science & Technology Basic Resources Investigation Program of China[2017FY101303] ; Project of the Integrated Scientific Expedition of the Ailao-Wuliang Mountains National Park[2019IB018] ; Key Platforms and Scientific Research Projects in Universities in Guangdong Province of China[2018KTSCX212] ; Guangdong Rural Science and Technology Commissioner Project of China[2019066] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000506174600001 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 资助机构 | National Key Research and Development Program ; Projects of the National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Science & Technology Basic Resources Investigation Program of China ; Project of the Integrated Scientific Expedition of the Ailao-Wuliang Mountains National Park ; Key Platforms and Scientific Research Projects in Universities in Guangdong Province of China ; Guangdong Rural Science and Technology Commissioner Project of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/130937]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | He, Hongming; Li, Yu |
| 作者单位 | 1.Northwest Agr & Forestry Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dry Land Farming Loess, Yangling, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 3.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Beijing, Peoples R China 5.Raying Univ, Sch Chem & Environm, Meizhou, Guangdong, Peoples R China 6.Cairo Univ, Fac Agr, Dept Agr Engn, Giza, Egypt |
| 推荐引用方式 GB/T 7714 | Bai, Chunyu,He, Hongming,Li, Yu,et al. Land cover dynamic change in the Napahai Basin using the optimized random forest model[J]. JOURNAL OF APPLIED REMOTE SENSING,2019,13(4):18. |
| APA | Bai, Chunyu.,He, Hongming.,Li, Yu.,He, Wenming.,Zhao, Hongfei.,...&He, Qilin.(2019).Land cover dynamic change in the Napahai Basin using the optimized random forest model.JOURNAL OF APPLIED REMOTE SENSING,13(4),18. |
| MLA | Bai, Chunyu,et al."Land cover dynamic change in the Napahai Basin using the optimized random forest model".JOURNAL OF APPLIED REMOTE SENSING 13.4(2019):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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