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	Assessing Consistency of Five Global Land Cover Data Sets in China
	Feng M.
	2014
关键词	land cover per-pixel comparison agreement consistency China surface parameterization sib2 accuracy assessment atmospheric gcms satellite data igbp discover products validation maps vegetation glc2000
英文摘要	Global land cover mapping with high accuracy is essential to downstream researches. Five global land cover data sets derived from moderate-resolution satellites, i.e., Global Land Cover Characterization (GLCC), University of Maryland land cover product (UMd), Global Land Cover 2000 project data (GLC2000), MODIS Land Cover product (MODIS LC), and GLOBCOVER land cover product (GlobCover), have been widely used in many researches. However, these data sets were produced using different data sources and class definitions, which led to high uncertainty and inconsistency when using them. This study looked into the consistencies and discrepancies among the five data sets in China. All of the compared data sets were aggregated to consistent spatial resolution and extent, along with a 12-class thematic classification schema; intercomparisons among five datasets and each with reference data GLCD-2005 were performed. Results show reasonable agreement across the five data sets over China in terms of the dominating land cover types like Grassland and Cropland; while discrepancies of Forest classes, particularly Shrubland and Wetland among them are great. Additionally, GLC2000 has the highest agreement with GLCD-2005; MODIS LC gets the highest map-specific consistency compared with others; whereas UMd has the lowest agreement with GLCD-2005, but also has the lowest map-specific consistency.
出处	Remote Sensing
卷	6
期	9
页	8739-8759
收录类别	SCI
语种	英语
ISSN号	2072-4292
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29975]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Feng M.. Assessing Consistency of Five Global Land Cover Data Sets in China. 2014.

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