Evaluation of six global high-resolution global land cover products over China

被引:5
|
作者
Wang, Yiqi [1 ,2 ]
Xu, Yongming [3 ]
Xu, Xichen [1 ,4 ]
Jiang, Xingan [1 ,5 ]
Mo, Yaping [3 ]
Cui, Hengrui [1 ]
Zhu, Shanyou [3 ]
Wu, Hanyi [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, ChangWang Sch Honors, Nanjing, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[5] Beijing Normal Univ, Sch Natl Safety & Emergency Management, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Land cover products; high-resolution; spatial consistency; accuracy evaluation; China; Land cover; remote sensing; global data bases; MODIS; CONSISTENCY; IMPACTS; GLC2000; SET;
D O I
10.1080/17538947.2023.2301673
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Land cover is an important variable for climate, hydrology, and ecology studies. With the availability of various high-resolution global land cover (GLC) products, conducting a comprehensive assessment on their accuracy and consistency is important. In this study, we compared the performance of three latest 10-m-resolution GLC products, which include FROMGLC10 in 2017, ESA's Worldcover10 in 2020, and ESRIGLC10 in 2020, and three latest 30-m-resolution GLC products, which include FROMGLC30 in 2017, GLC_FCS30 in 2020, and Globeland30 in 2020, in China. The consistency of these products was investigated in terms of spatial consistency and area consistency. Though the six GLC products demonstrate similar overall distribution patterns, their detailed spatial distributions are quite different, especially for the three 10-m-resolution products. Evidently, the cropland, forest, grassland, and bareland exhibited high inconsistencies than the other types. The classification accuracy of the six GLC products was also quantitatively assessed based on a visual-interpretation-based reference dataset. FROMGLC10 exhibits the highest overall accuracy of 65.57%, followed by FROMGLC30 (64.96%) and Worldcover10 (62.74%). ESRIGLC10 (49.79%) exhibits the lowest accuracy. The accuracies of shrubland, wetland, and tundra were relatively low. This study provides a valuable reference for selecting appropriate GLC products for potential users.
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收藏
页数:17
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