IGSNRR OpenIR  > 历年回溯文献
High resolution land cover datasets integration and application based on Landsat and Globcover data from 1975 to 2010 in Siberia
Liu T. X.; Zhang, S. W.; Xu, X. L.; Bu, K.; Ning, J.; Chang, L. P.
Source PublicationChinese Geographical Science
2016
Volume26
Issue4
Pages429-438
Keywordland cover change Landsat data integration data application Siberia global environmental-change science scale
AbstractLand cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variation of land cover has significant impact on regional natural environment and socio-economic sustainable development. Under this context, we reconstructed the history land cover data in Siberia to provide a comparable datasets to the land cover datasets in China and abroad. In this paper, the European Space Agency (ESA) Global Land Cover Map (GlobCover), Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM), Multispectral Scanner (MSS) images, Google Earth images and other additional data were used to produce the land cover datasets in 1975 and 2010 in Siberia. Data evaluation show that the total user's accuracy of land cover data in 2010 was 86.96%, which was higher than ESA GlobCover data in Siberia. The analysis on the land cover changes found that there were no big land cover changes in Siberia from 1975 to 2010 with only a few conversions between different natural forest types. The mainly changes are the conversion from deciduous needleleaf forest to deciduous broadleaf forest, deciduous needleleaf forest to mixed forest, savannas to deciduous needleleaf forest etc., indicating that the dominant driving factor of land cover changes in Siberia was natural element rather than human activities at some extent, which was very different from China. However, our purpose was not just to produce the land cover datasets at two time period or explore the driving factors of land cover changes in Siberia, we also paid attention on the significance and application of the datasets in various fields such as global climate change, geopolitics, cross-border cooperation and so on.
Indexed BySCI
Language英语
ISSN1002-0063
DOI10.1007/s11769-016-0819-9
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43093
Collection历年回溯文献
Recommended Citation
GB/T 7714
Liu T. X.,Zhang, S. W.,Xu, X. L.,et al. High resolution land cover datasets integration and application based on Landsat and Globcover data from 1975 to 2010 in Siberia. 2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
Liu-2016-High resolu(10732KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu T. X.]'s Articles
[Zhang, S. W.]'s Articles
[Xu, X. L.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu T. X.]'s Articles
[Zhang, S. W.]'s Articles
[Xu, X. L.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu T. X.]'s Articles
[Zhang, S. W.]'s Articles
[Xu, X. L.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Liu-2016-High resolution land.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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