Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets
文献类型：期刊论文
| 作者 | Sun, Wenyi1,2; Ding, Xiaotong2; Su, Jingbo2; Mu, Xingmin1,2; Zhang, Yongqiang3; Gao, Peng1,2; Zhao, Guangju1,2 |
| 刊名 | LAND USE POLICY
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 119页码:13 |
| 关键词 | LULC dataset Accuracy assessment The ?Grain to Green ? project The Loess Plateau |
| ISSN号 | 0264-8377 |
| DOI | 10.1016/j.lusepol.2022.106165 |
| 通讯作者 | Mu, Xingmin(muxm2014@gmail.com) ; Zhang, Yongqiang(yongqiang.zhang2014@gmail.com) |
| 英文摘要 | Image classification often produces large deviations between land use and land cover (LULC) datasets and the 'real' changes, leading to uncertainty in the results of LULC related assessments and the propagated impacts through modelling. LULC products are widely used as input for various large-scale climatic, ecological and hydrological models, but the accuracy and authenticity associated with data quality are rarely fully considered. In the study, six widely used global or national LULC datasets, MODIS-MCD12Q1, EAS CCI-LC, GlobeLand30, GLASS-GLC, CAS-CLUDs and ChinaCover, are used to assess the consistency and reliability of LULC on the Loess Plateau, where land cover has undergone major changes due to "Grain to Green" Project. Results show that MODIS and GLASS products have low quality, with the overall accuracy of 55.3-58.2% and 34.7-39.4% respectively, and the areal and spatial results cannot reflect the real changes of the Loess Plateau. Large areas of croplands in MODIS-MCD12Q1 are classified as natural grassland. Croplands in GLASS-GLC are overestimated in the central parts of the Loess Plateau. Both of MODIS and GLASS products are hard to separate woodlands from grasslands. ESA CCI-LC has higher classification accuracy (73.9%-74.2%) than the released MODIS and GLASS products. The woodlands in ESA CCI-LC is relatively underestimated than that of CAS-CLUD and ChinaCover, and the conversion feature from cropland to forest and grasses is almost absent on ESA CCI-LC maps. Although GlobeLand30 has a high overall accuracy at 86. 6-86.7%, it is inadequate to get the characteristic of returning of cropland to forest and grasses. The most similar land covers are CAS-CLUDs and ChinaCover, which are considered to have highest classification accuracy ranging from 89.4% to 91.6% and can reflect the actual LULC status and its changes on the Loess Plateau. A blending LULC dataset is developed and the overall accuracies for all classes can be improved by 1.63-7.49%. |
| WOS关键词 | VEGETATION COVER ; CHINA ; CLASSIFICATION ; AREA ; UNCERTAINTIES ; ACCURACY ; PATTERNS ; IMPACTS ; SYSTEM ; IMAGES |
| 资助项目 | National Natural Science Founda-tion of China[42177328] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000802603800002 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Founda-tion of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/178799]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mu, Xingmin; Zhang, Yongqiang |
| 作者单位 | 1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Datun Rd 19 A, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Wenyi,Ding, Xiaotong,Su, Jingbo,et al. Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets[J]. LAND USE POLICY,2022,119:13. |
| APA | Sun, Wenyi.,Ding, Xiaotong.,Su, Jingbo.,Mu, Xingmin.,Zhang, Yongqiang.,...&Zhao, Guangju.(2022).Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets.LAND USE POLICY,119,13. |
| MLA | Sun, Wenyi,et al."Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets".LAND USE POLICY 119(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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