Paper Info
Title
Assessing Consistency of Five Global Land Cover Data Sets in China
Abstract
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.
Year
DOI
Venue
2014
10.3390/rs6098739
REMOTE SENSING
Keywords
Field
DocType
land cover,per-pixel comparison,agreement,consistency,China
Shrubland,Reference data (financial markets),Satellite,Vegetation,Data set,Remote sensing,Wetland,Thematic map,Geology,Land cover
Journal
Volume
Issue
Citations 
6
9
10
PageRank 
References 
Authors
1.15
9
6
Name
Order
Citations
PageRank
yan bai1567.60
Min Feng220420.90
hao jiang35917.96
Juanle Wang41611.47
Yunqiang Zhu518311.02
yingzhen liu6101.15