Paper Info
Title
Global Land Cover Mapping: A Review and Uncertainty Analysis
Abstract
Given the advances in remotely sensed imagery and associated technologies, several global land cover maps have been produced in recent times including IGBP DISCover, UMD Land Cover, Global Land Cover 2000 and GlobCover 2009. However, the utility of these maps for specific applications has often been hampered due to considerable amounts of uncertainties and inconsistencies. A thorough review of these global land cover projects including evaluating the sources of error and uncertainty is prudent and enlightening. Therefore, this paper describes our work in which we compared, summarized and conducted an uncertainty analysis of the four global land cover mapping projects using an error budget approach. The results showed that the classification scheme and the validation methodology had the highest error contribution and implementation priority. A comparison of the classification schemes showed that there are many inconsistencies between the definitions of the map classes. This is especially true for the mixed type classes for which thresholds vary for the attributes/discriminators used in the classification process. Examination of these four global mapping projects provided quite a few important lessons for the future global mapping projects including the need for clear and uniform definitions of the classification scheme and an efficient, practical, and valid design of the accuracy assessment.
Year
DOI
Venue
2014
10.3390/rs61212070
REMOTE SENSING
Keywords
Field
DocType
global land cover,uncertainty analysis,error budget,classification scheme,accuracy assessment
Data mining,Classification scheme,Uncertainty analysis,Geology,Land cover
Journal
Volume
Issue
ISSN
6
12
2072-4292
Citations 
PageRank 
References 
31
2.05
3
Authors
5
Name
Order
Citations
PageRank
russell g congalton1759.35
jianyu gu2312.05
kamini yadav3655.54
Prasad S. Thenkabail421030.03
mutlu ozdogan5707.80