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DOI | 10.3390/rs13101910 |
46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification | |
Serban, Raul-David; Serban, Mihaela; He, Ruixia; Jin, Huijun; Li, Yan; Li, Xinyu; Wang, Xinbin; Li, Guoyu | |
通讯作者 | He, RX (通讯作者),Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soils Engn, Lanzhou 730000, Peoples R China. |
发表日期 | 2021 |
EISSN | 2072-4292 |
卷号 | 13期号:10 |
英文摘要 | Land use and cover changes (LUCC) in permafrost regions have significant consequences on ecology, engineered systems, and the environment. Obtaining more details about LUCC is crucial for sustainable development, land conservation, and environment management. The Hola Basin (957 km(2)) in the northernmost part of Northeast China, a boreal forest landscape underlain by discontinuous, sporadic, and isolated permafrost, was selected for the case study. The LUCC was analyzed using the Landsat archive of satellite images from 1973 to 2019. A thematic change detection analysis was performed by combining the object-based image analysis (OBIA) and the Support Vector Machine (SVM) algorithm. Four types of LUCC (forest, grass, water, and anthropic) were extracted with an overall accuracy of 80% for 1973 and >90% for 1986, 2000, and 2019. Forest, the dominant class (750 km(2) in 1973), declined by 88 km(2) (11.8%) from 1973 to 1986 but had a recovery of 78 km(2) (12.5%) from 2000 to 2019. Grass, the second-largest class (187 km(2) in 1973), increased by 86 km(2) (46.5%) between 1973 and 1986 and decreased by 90 km(2) (40%) between 2000 and 2019. The anthropic class continuously increased from 10 km(2) (1973) to 37 km(2) (2019). Major features in LUCC are attributed to rapid population growth, resource exploitation, agriculture intensification, economic development, and frequent forest fires. Under a pronounced climate warming, these drivers have been accelerating the degradation of permafrost, subsequently triggering natural hazards and deteriorating the ecological environment. This study represents a benchmark for sustainable LUCC management in the Hola Basin, Northeast China. |
关键词 | LAND-COVER CLASSIFICATIONSUPPORT VECTOR MACHINEWATER INDEX NDWIFOREST BIOMASSIMAGE-ANALYSISTIME-SERIESVEGETATIONFIELDCLIMATEAREAS |
英文关键词 | land use and cover changes (LUCC); object-based image analysis (OBIA); Support Vector Machine (SVM); permafrost; Northeast China |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000662535200001 |
来源期刊 | REMOTE SENSING |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/254784 |
作者单位 | [Serban, Raul-David; Serban, Mihaela; He, Ruixia; Jin, Huijun; Li, Yan; Wang, Xinbin; Li, Guoyu] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soils Engn, Lanzhou 730000, Peoples R China; [Serban, Raul-David; Serban, Mihaela] West Univ Timisoara, Appl Geomorphol & Interdisciplinary Res Ctr, Dept Geog, Timis 300223, Romania; [Jin, Huijun] Northeast Forestry Univ, Minist Educ, Sch Civil Engn, Inst Cold Reg Sci & Engn, Harbin 150040, Peoples R China; [Jin, Huijun] Northeast Forestry Univ, Minist Educ, Northeast China Observ & Res Stn Permafrost Geol, Harbin 150040, Peoples R China; [Li, Yan] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; [Li, Xinyu] Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China |
推荐引用方式 GB/T 7714 | Serban, Raul-David,Serban, Mihaela,He, Ruixia,et al. 46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification[J]. 中国科学院西北生态环境资源研究院,2021,13(10). |
APA | Serban, Raul-David.,Serban, Mihaela.,He, Ruixia.,Jin, Huijun.,Li, Yan.,...&Li, Guoyu.(2021).46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification.REMOTE SENSING,13(10). |
MLA | Serban, Raul-David,et al."46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using Machine Learning and Object-Oriented Classification".REMOTE SENSING 13.10(2021). |
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