The spatial local accuracy of land cover datasets over the Qiangtang Plateau, High Asia
文献类型：期刊论文
| 作者 | Liu Qionghuan1,2; Zhang Yili1,2,3; Liu Linshan1; Li Lanhui1,2; Qi Wei1 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 29期号:11页码:1841-1858 |
| 关键词 | land cover datasets spatial accuracy assessment remote sensing Qiangtang Plateau High Asia |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-019-1992-0 |
| 通讯作者 | Zhang Yili(zhangyl@igsnrr.ac.cn) |
| 英文摘要 | We analyzed the spatial local accuracy of land cover (LC) datasets for the Qiang-tang 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. |
| WOS关键词 | TIBETAN PLATEAU ; CLASSIFICATION ; ERROR ; MODIS ; VALIDATION ; DATABASE ; GLC2000 ; AREA |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040200] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB03030500] ; Key Foundation Project of Basic Work of the Ministry of Science and Technology of China[2012FY111400] ; National Key Technologies RD Program[2012BC06B00] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000505517300005 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Foundation Project of Basic Work of the Ministry of Science and Technology of China ; National Key Technologies RD Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/131079]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang Yili |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Qionghuan,Zhang Yili,Liu Linshan,et al. The spatial local accuracy of land cover datasets over the Qiangtang Plateau, High Asia[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(11):1841-1858. |
| APA | Liu Qionghuan,Zhang Yili,Liu Linshan,Li Lanhui,&Qi Wei.(2019).The spatial local accuracy of land cover datasets over the Qiangtang Plateau, High Asia.JOURNAL OF GEOGRAPHICAL SCIENCES,29(11),1841-1858. |
| MLA | Liu Qionghuan,et al."The spatial local accuracy of land cover datasets over the Qiangtang Plateau, High Asia".JOURNAL OF GEOGRAPHICAL SCIENCES 29.11(2019):1841-1858. |
入库方式： OAI收割
来源：地理科学与资源研究所
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