IGSNRR OpenIR
thespatiallocalaccuracyoflandcoverdatasetsovertheqiangtangplateauhighasia
Liu Qionghuan; Zhang Yili; Liu Linshan; Li Lanhui; Ql Wei
2019
Source Publicationjournalofgeographicalsciences
ISSN1009-637X
Volume29Issue:11Pages:1841
AbstractWe analyzed the spatial local accuracy of land cover (LC) datasets for the Qiangtang Plateau, High Asia, incorporating 923 field sampling points and seven LC compilations including the International Geosphere Biosphere Programme Data and Information System (IGBPDIS), Global Land cover mapping at 30 m resolution (GlobeLand30), MODIS Land Cover Type product (MCD12Q1), Climate Change Initiative Land Cover (CCI-LC), Global Land Cover 2000 (GLC2000), University of Maryland (UMD), and GlobCover 2009 (Glob-Cover). We initially compared resultant similarities and differences in both area and spatial patterns and analyzed inherent relationships with data sources. We then applied a geographically weighted regression (GWR) approach to predict local accuracy variation. The results of this study reveal that distinct differences, even inverse time series trends, in LC data between CCI-LC and MCD12Q1 were present between 2001 and 2015,with the exception of category areal discordance between the seven datasets. We also show a series of evident discrepancies amongst the LC datasets sampled here in terms of spatial patterns, that is, high spatial congruence is mainly seen in the homogeneous southeastern region of the study area while a low degree of spatial congruence is widely distributed across heterogeneous northwestern and northeastern regions. The overall combined spatial accuracy of the seven LC datasets considered here is less than 70%, and the GlobeLand30 and CCI-LC datasets exhibit higher local accuracy than their counterparts, yielding maximum overall accuracy (OA) values of 77.39% and 61.43%, respectively. Finally, 5.63% of this area is characterized by both high assessment and accuracy (HH) values, mainly located in central and eastern regions of the Qiangtang Plateau, while most low accuracy regions are found in northern, northeastern, and western regions.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/120833
Collection中国科学院地理科学与资源研究所
Affiliation中国科学院地理科学与资源研究所
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Liu Qionghuan,Zhang Yili,Liu Linshan,et al. thespatiallocalaccuracyoflandcoverdatasetsovertheqiangtangplateauhighasia[J]. journalofgeographicalsciences,2019,29(11):1841.
APA Liu Qionghuan,Zhang Yili,Liu Linshan,Li Lanhui,&Ql Wei.(2019).thespatiallocalaccuracyoflandcoverdatasetsovertheqiangtangplateauhighasia.journalofgeographicalsciences,29(11),1841.
MLA Liu Qionghuan,et al."thespatiallocalaccuracyoflandcoverdatasetsovertheqiangtangplateauhighasia".journalofgeographicalsciences 29.11(2019):1841.
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
[Liu Qionghuan]'s Articles
[Zhang Yili]'s Articles
[Liu Linshan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu Qionghuan]'s Articles
[Zhang Yili]'s Articles
[Liu Linshan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu Qionghuan]'s Articles
[Zhang Yili]'s Articles
[Liu Linshan]'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.