Consistency and Accuracy of Four High-Resolution LULC Datasets-Indochina Peninsula Case Study
文献类型：期刊论文
| 作者 | Wang, Hao1,2; Yan, Huimin1,2; Hu, Yunfeng1,2; Xi, Yue1,3; Yang, Yichen1,2 |
| 刊名 | LAND
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 11期号:5页码:19 |
| 关键词 | land mapping dataset quality consistency data accuracy Southeast Asia |
| DOI | 10.3390/land11050758 |
| 通讯作者 | Hu, Yunfeng(huyf@lreis.ac.cn) |
| 英文摘要 | Open and high-temporal- and spatial-resolution global land use/land cover (LULC) mapping data form the foundation of global change research and cross-scale land management planning. However, the consistency and reliability of the use of multisource LULC datasets in specific regions need to be quantitatively assessed. In this study, we selected the Indochina Peninsula as the research area; considered four datasets: LSV10, GLC_FCS30, ESRI10, and Globeland30; and analyzed them from four dimensions: the similarity of composition type, the degree of category confusion, spatial consistency, and data accuracy. The results show that: (1) the land composition descriptions of the different datasets are consistent. The study area is dominated by forest and cropland, supplemented by grassland, shrubland, and other land types. (2) The correlation coefficient between datasets is between 0.905 and 0.972; the spatial consistency of datasets is good; and the high-consistency area accounts for 77.87% of the total. (3) The overall accuracy of LSV10 is the highest (83.25%), and that of GLC_FCS30 is the lowest (72.27%). The accuracy of cropland, forest, water area, and built-up land is generally high (above 85%); the accuracy of grassland, shrubland, and bare land is low (below 60%). Therefore, researchers must conduct validation for specific regions and specific land types before using the above datasets. Our findings provide a basis for selecting LULC datasets in related research on the Indochina Peninsula and a reference method for assessing the reliability of multisource LULC datasets in other regions. |
| WOS关键词 | LAND-COVER DATASETS ; CLASSIFICATION ; PRODUCT |
| 资助项目 | National Natural Science Foundation of China[42130508] ; Network Security and Information Program of the Chinese Academy of Sciences[CAS-WX2021SF-0106] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010202] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000804884500001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Network Security and Information Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/178109]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Yunfeng |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Hao,Yan, Huimin,Hu, Yunfeng,et al. Consistency and Accuracy of Four High-Resolution LULC Datasets-Indochina Peninsula Case Study[J]. LAND,2022,11(5):19. |
| APA | Wang, Hao,Yan, Huimin,Hu, Yunfeng,Xi, Yue,&Yang, Yichen.(2022).Consistency and Accuracy of Four High-Resolution LULC Datasets-Indochina Peninsula Case Study.LAND,11(5),19. |
| MLA | Wang, Hao,et al."Consistency and Accuracy of Four High-Resolution LULC Datasets-Indochina Peninsula Case Study".LAND 11.5(2022):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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