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

ABSTRACTLand 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...

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Bibliographic Details
Published in:International Journal of Digital Earth
Main Authors: Yiqi Wang, Yongming Xu, Xichen Xu, Xingan Jiang, Yaping Mo, Hengrui Cui, Shanyou Zhu, Hanyi Wu
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Group 2024
Subjects:
Land cover products
high-resolution
spatial consistency
accuracy evaluation
China
Land cover
Mathematical geography. Cartography
GA1-1776
Tundra
Online Access:https://doi.org/10.1080/17538947.2023.2301673
https://doaj.org/article/e1eb36ce33654e2a9c2fa249893738f0
Description
Summary:ABSTRACTLand 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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