IGSNRR OpenIR
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
Liang, Li1,2; Liu, Qingsheng1; Liu, Gaohuan1; Li, He1; Huang, Chong1
2019-06-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:12Pages:24
Corresponding AuthorLiu, Qingsheng(liuqs@lreis.ac.cn)
AbstractLand cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used land cover products. First, we compare and analyze the four land cover products from the perspectives of land cover type, distribution and spatial heterogeneity. Second, we evaluate the accuracy of such products by using two sets of sample points collected from the Arctic region. Finally, we obtain the spatial consistency distribution of the products by means of superposition analysis. The results show the following: (a) among the four land cover products, Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy (63.5%) in the Arctic region, GlobeLand30 has an overall accuracy of 62.2% and the overall accuracy of the Global Land Cover by the National Mapping Organization (GLCNMO) is only 48.8%. When applied in the Arctic region, the overall accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) is only 29.5% due to significant variances. Therefore, MODIS and GLCNMO are not recommended in Arctic-related research as their use may lead to major errors. (b) An evaluation of the consistency of the four products indicates that the classification of the large-scale homogeneous regions in the Arctic yields satisfactory results, whereas the classification results in the forest-tundra ecotone are unsatisfactory. The results serve as a reference for future research. (c) Among the four products, GlobeLand30 is the best choice for analyzing finely divided and unevenly distributed surface features such as waters, urban areas and cropland. Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy, and its classification accuracy is relatively higher for forests, shrubs, sparse vegetation, snow/ice and water. GlobeLand30 and CCI-LC do not vary much from each other in terms of overall accuracy. They differ the most in the classification accuracy of shrub-covered land; CCI-LC performed better than GlobeLand30 in the classification of shrub-covered land, whereas the latter obtained higher accuracy than that of the former in the classification of urban areas and cropland.
Keywordglobal land cover dataset spatial agreement spatial variation in accuracy Arctic
DOI10.3390/rs11121396
WOS KeywordPERMAFROST THAW ; VEGETATION MAP ; DATA SETS ; MODIS ; CLASSIFICATION ; GLOBCOVER ; GLC2000 ; CARBON ; TREE ; SENSITIVITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC1402701]
Funding OrganizationNational Key Research and Development Program of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000473794600002
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58417
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Qingsheng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Liang, Li,Liu, Qingsheng,Liu, Gaohuan,et al. Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region[J]. REMOTE SENSING,2019,11(12):24.
APA Liang, Li,Liu, Qingsheng,Liu, Gaohuan,Li, He,&Huang, Chong.(2019).Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region.REMOTE SENSING,11(12),24.
MLA Liang, Li,et al."Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region".REMOTE SENSING 11.12(2019):24.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liang, Li]'s Articles
[Liu, Qingsheng]'s Articles
[Liu, Gaohuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liang, Li]'s Articles
[Liu, Qingsheng]'s Articles
[Liu, Gaohuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liang, Li]'s Articles
[Liu, Qingsheng]'s Articles
[Liu, Gaohuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.