Assessing Consistency of Five Global Land Cover Data Sets in China

被引:80
作者
Bai, Yan [1 ]
Feng, Min [2 ]
Jiang, Hao [1 ,3 ]
Wang, Juanle [1 ]
Zhu, Yunqiang [1 ]
Liu, Yingzhen [1 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Univ Maryland, Global Land Cover Facil, Dept Geog Sci, College Pk, MD 20742 USA
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Gen Staff Informat Ctr Surveying & Mapping, Beijing 100088, Peoples R China
基金
中国国家自然科学基金; 对外科技合作项目(国际科技项目); 中国博士后科学基金;
关键词
land cover; per-pixel comparison; agreement; consistency; China; SURFACE PARAMETERIZATION SIB2; ACCURACY ASSESSMENT; ATMOSPHERIC GCMS; IGBP DISCOVER; PRODUCTS; VALIDATION; VEGETATION; GLC2000; MODIS; MAPS;
D O I
10.3390/rs6098739
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:8739 / 8759
页数:21
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