中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The Change Pattern and Its Dominant Driving Factors of Wetlands in the Yellow River Delta Based on Sentinel-2 Images

文献类型:期刊论文

作者Wei, Cuixia1; Guo, Bing1,2,3,4,5; Fan, Yewen6; Zang, Wenqian5; Ji, Jianwan7
刊名REMOTE SENSING
出版日期2022-09-01
卷号14期号:17页码:24
关键词wetlands change pattern Random Forest algorithm feature selection Geodetector
DOI10.3390/rs14174388
通讯作者Guo, Bing(guobing@sdut.edu.cn)
英文摘要There were significant differences in the dominant driving factors of the change process of different types of wetlands in the Yellow River delta. In addition, to our knowledge, the optimal classification feature sets with the Random Forest algorithm for wetlands in the Yellow River delta were least explored. In this paper, the wetland information in the study area was extracted based on a Random Forest algorithm with de-feature variable redundancy, and then the change process of wetland and its dominant factors from 2015 to 2021 was monitored and analyzed using the Geodetector and gravity center model. The results showed that (1) the optimal variable sets composed of red edge indexes based on the Random Forest algorithm had the highest classification accuracy, with the overall accuracy and Kappa coefficient of 95.75% and 0.93. (2) During 2015-2021, a large area of natural wetland in the Yellow River delta was transformed into an artificial wetland. The wetlands showed an overall development direction of "northwest-southeast" along the Yellow River. (3) The interaction between vegetation coverage and accumulated temperature had the largest explanatory power of the change in the natural wetland area. The interaction between solar radiation and DEM had the largest explanatory power for the change in the artificial wetland area. The research results could better provide decisions for wetland protection and restoration in the Yellow River delta.
WOS关键词LAND-COVER ; CLASSIFICATION
资助项目National Natural Science Foundation of China[42101306] ; Natural Science Foundation of Shandong Province[ZR2021MD047] ; State Key Laboratory of Resources and Environmental Information System ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR grant[2020NGCM02] ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources[KF-2020-05-001] ; Major Project of High Resolution Earth Observation System of China[GFZX0404130304]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000851975900001
出版者MDPI
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; State Key Laboratory of Resources and Environmental Information System ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR grant ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources ; Major Project of High Resolution Earth Observation System of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/182904]  
专题中国科学院地理科学与资源研究所
通讯作者Guo, Bing
作者单位1.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China
4.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan 430072, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
6.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
7.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China
推荐引用方式
GB/T 7714
Wei, Cuixia,Guo, Bing,Fan, Yewen,et al. The Change Pattern and Its Dominant Driving Factors of Wetlands in the Yellow River Delta Based on Sentinel-2 Images[J]. REMOTE SENSING,2022,14(17):24.
APA Wei, Cuixia,Guo, Bing,Fan, Yewen,Zang, Wenqian,&Ji, Jianwan.(2022).The Change Pattern and Its Dominant Driving Factors of Wetlands in the Yellow River Delta Based on Sentinel-2 Images.REMOTE SENSING,14(17),24.
MLA Wei, Cuixia,et al."The Change Pattern and Its Dominant Driving Factors of Wetlands in the Yellow River Delta Based on Sentinel-2 Images".REMOTE SENSING 14.17(2022):24.

入库方式: OAI收割

来源:地理科学与资源研究所

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