新疆天山北坡城市群土地覆被数据产品精度评价

doi:10.12118/j.issn.1000-6060.2023.721

Abstract

Abstract:

Land cover data products, including CLCD30 (30 m resolution), GlobeLand30 (30 m, referred to as Globe30), GLC_FCS30 (30 m), FROM-GLC10 (10 m), Esri_Land_Cover_2020 (10 m, referred to as Esri10), and ESAWorldCover2020 (10 m, referred to as ESA10), provide essential surface cover information for various earth system science applications globally. However, their accuracy and suitability for specific local areas remain uncertain. This study evaluates the accuracy and errors of these six land cover products in the northern slope of the Tianshan Mountains in Xinjiang, China, based on Sentinel-2 imagery, using sample accuracy assessment and category confusion evaluation. Furthermore, the causes of errors and the applicability of different products were analyzed. The results indicate that: (1) Among the six data product sets, except for Esri10, the composition and area percentages of land cover types are relatively consistent across the other five products. (2) The overall accuracies of these products are: GLC_FCS30 (0.8080), Globe30 (0.8147), CLCD30 (0.7880), FROM-GLC10 (0.8531), ESA10 (0.8047), and Esri10 (0.4725). (3) Regarding product applicability, GLC_FCS30 is effective for analyzing cropland and bareland; CLCD30 is optimal for forest and bareland; FROM-GLC10 excels in representing grassland, water bodies, snow/ice, and built-up areas; ESA10 is suitable for cropland and grassland; Esri10 performs well in forest, snow/ice, and built-up areas; and Globe30 maintains overall stability in accuracy across all categories. (4) Major category confusion occurs between cropland, forest, grassland, and other categories, especially in areas with complex land cover, such as urban fringes.

Key words: land cover data products, remote sensing, accuracy analysis, category confusion, northern slope of Tianshan Mountains

YAN Zhaojin, SUN Yuqing, HE Rong, WANG Ran, RUAN Xiaoguang, YANG Hui, CI Hui. Evaluation of land cover data product accuracy in urban agglomeration on the northern slope of Tianshan Mountains in Xinjiang[J].Arid Land Geography, 2024, 47(11): 1852-1862.

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References 32

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产品名称	来源	分辨率/m	区域	制图单位	生产年份	分类方法	参考数据	分类体系（类别数量）
FROM-GLC10	http://data.ess.tsinghua.edu.cn/fromglc2017v1.html	10	全球	清华大学	2017	随机森林	Sentinel-2	LCCS（10）
ESA10	https://viewer.esa-worldcover.org/worldcover	10	全球	欧空局及全球多家科研机构	2020	随机森林	Sentinel-1 Sentinel-2	LCCS（8）
Esri10	https://esri.maps.arcgis.com/	10	全球	Esri，撞击观测站	2020	深度学习	Sentinel-2	LCCS（11）
GLC_FCS30	http://doi.org/10.5281/zenodo.4280923	30	全球	中国科学院空天信息创新研究院	2020	监督分类	Landsat、Sentinel-1	LCCS（29）
Globe30	https://GlobeLand30/	30	全球	国家基础地理信息中心等	2020	监督分类	Landsat	LCCS（10）
CLCD30	https://zenodo.org./	30	中国	武汉大学	2020	随机森林	Landsat	LCCS（9）

产品	FROM-GLC10	GLC_FCS30	CLCD30	ESA10	Globe30	Esri10	统一类别
类型	耕地	旱作农田、灌溉农田	耕地	耕地	农地	耕地	耕地
	草地	草地、稀疏草丛、稀疏植被、草本覆盖	草地	草地	草地、苔原	牧场	草地
	灌木	灌木地、常绿灌木地	灌木	灌木	灌丛	牧场	草地
	林地	开阔常绿阔叶林、封闭落叶阔叶林、开阔常绿针叶林、封闭常绿针叶林、开阔落叶针叶林、封闭落叶针叶林、	林地	林地	森林	树木	林地
	湿地	地衣苔藓、湿地	湿地	湿地、苔藓	湿地	淹没植被	湿地
	水体	水体	水域	永久水体	水体	水体	水体
	不透水面	不透水表面	建设用地	建筑	不透水层	建筑	建筑
	裸地	裸地、固定裸地、不固定裸地	裸地	荒漠	裸地	裸地	裸地
	雪/冰	永久冻土/雪原	冰川	雪和冰	冰雪	冰/雪	冰/雪
	-	-	-	-	-	云	-

Evaluation of land cover data product accuracy in urban agglomeration on the northern slope of Tianshan Mountains in Xinjiang

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精度指标	GLC-FCS30	Globe30	CLCD30	FROM-GLC10	ESA10	Esri10
总精度	0.8080	0.8147	0.7880	0.8531	0.8047	0.4725
Kappa系数	0.7128	0.7142	0.6802	0.7624	0.6986	0.3038

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