中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia

文献类型:期刊论文

作者Ding, Yaxin2,3; Yang, Xiaomei2,4; Wang, Zhihua2,4; Fu, Dongjie2,4; Li, He2,4; Meng, Dan2,4; Zeng, Xiaowei1,2; Zhang, Junyao2,4
刊名REMOTE SENSING
出版日期2022-10-01
卷号14期号:19页码:38
关键词10 m land cover products FROM-GLC10 ESRI 2020 land cover world cover 2020 land use cover field data accuracy assessment earth observation sentinel-2
DOI10.3390/rs14195053
通讯作者Wang, Zhihua(zhwang@lreis.ac.cn)
英文摘要To study global and regional environment protection and sustainable development and also to optimize mapping methods, it is of great significance to compare three existing 10 m resolution global land cover products in terms of accuracy: FROM-GLC10, the ESRI 2020 land cover product (ESRI2020), and the European Space Agency world cover 2020 product (ESA2020). However, most previous validations lack field collection points in large regions, especially in Southeast Asia, which has a cloudy and rainy climate, creating many difficulties in land cover mapping. In 2018 and 2019, we conducted a 56-day field investigation in Southeast Asia and collected 3326 points from different places. By combining these points and 14,808 other manual densification points in a stratified random sampling, we assessed the accuracy of the three land cover products in Southeast Asia. We also compared the impacts of the different classification standards, the different sample methods, and the different spatial distributions of the sample points. The results show that in Southeast Asia, (1) the mean overall accuracies of the FROM-GLC10, ESRI2020, and ESA2020 products are 75.43%, 79.99%, and 81.11%, respectively; (2) all three products perform well in croplands, forests, and built-up areas; ESRI2020 and ESA2020 perform well in water, but only ESA2020 performs well in grasslands; and (3) all three products perform badly in shrublands, wetlands, or bare land, as both the PA and the UA are lower than 50%. We recommend ESA2020 as the first choice for Southeast Asia's land cover because of its high overall accuracy. FROM-GLC10 also has an advantage over the other two in some classes, such as croplands and water in the UA aspect and the built-up area in the PA aspect. Extracting the individual classes from the three products according to the research goals would be the best practice.
WOS关键词VALIDATION DATA SET ; ACCURACY ASSESSMENT ; ESTIMATING AREA ; SAMPLE SET ; RESOLUTION ; CLASSIFICATION ; DESIGN ; IMPACT ; REGION ; ENERGY
资助项目Chinese Academy of Sciences, Earth Big Data Science Project of China[XDA19060303] ; National Natural Science Foundation of China[41671436] ; National Natural Science Foundation of China[41901354] ; National Natural Science Foundation of China[41890854] ; Innovation Project of Laboratory of Resources and Environmental Information System[O88RAA01YA]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000867343500001
出版者MDPI
资助机构Chinese Academy of Sciences, Earth Big Data Science Project of China ; National Natural Science Foundation of China ; Innovation Project of Laboratory of Resources and Environmental Information System
源URL[http://ir.igsnrr.ac.cn/handle/311030/185665]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Zhihua
作者单位1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, 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.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Ding, Yaxin,Yang, Xiaomei,Wang, Zhihua,et al. A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia[J]. REMOTE SENSING,2022,14(19):38.
APA Ding, Yaxin.,Yang, Xiaomei.,Wang, Zhihua.,Fu, Dongjie.,Li, He.,...&Zhang, Junyao.(2022).A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia.REMOTE SENSING,14(19),38.
MLA Ding, Yaxin,et al."A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia".REMOTE SENSING 14.19(2022):38.

入库方式: OAI收割

来源:地理科学与资源研究所

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