Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain
文献类型:期刊论文
作者 | Jiang, Guangmao4,5; Wang, Juanle2,4; Li, Kai4; Xu, Chen3,4; Li, Heng1; Jin, Zongyi6; Liu, Jingxuan3,4 |
刊名 | REMOTE SENSING |
出版日期 | 2023-09-01 |
卷号 | 15期号:17页码:19 |
关键词 | land cover data products Eastern European plain spatial consistency accuracy evaluation consistency analysis |
DOI | 10.3390/rs15174254 |
通讯作者 | Wang, Juanle(wangjl@igsnrr.ac.cn) |
英文摘要 | Land-use and land-cover changes in the Eastern European Plain have important implications for regional and global ecological environments, food security, and socio-economic development. Here, three 30 m resolution global land cover data products (FROM_GLC, GlobeLand30, and GLC_FCS30) from the Eastern European Plain were analyzed and evaluated for component similarity, type confusion degree, spatial consistency, and accuracy verification. The research found that the three products provided consistent descriptions of land-cover types in the East European Plain. There was a strong correlation in the type area between the different products, with a correlation coefficient >0.85. Medium-to-high-consistency areas represented 92.31% of the total plains area. The low-consistency areas were mainly concentrated on Yuzhny Island, Kola Peninsula, and Pechora River Basin. The comparison revealed high consistency among the three products in identifying forest, cropland, water, and permanent ice/snow types. However, the consistency was poor for shrubs, wetlands, and bare land. Using the GLCVSS_V1 validation dataset, the highest overall accuracy among the assessed land cover data products was observed in the FROM_GLC (73.96%), followed by GlobeLand30 (69.80%) and GLC_FCS30 (67.29%). The FROM_GLC dataset is suitable for studying forests, tundra, water, and providing an overall representation of the region's land cover. The GLC_FCS30 dataset is more suitable for agricultural research. The differences between products arise from the differences in classification systems, algorithms, and data correction. In the future, it will be necessary to utilize the advantages of different products for data fusion, focusing on areas with high heterogeneity and easily confused types, and improving the reliability of land-cover data products. |
WOS关键词 | MODIS ; CLASSIFICATION ; GLOBCOVER ; SYNERGIES ; DYNAMICS ; GLC2000 ; AMAZON ; CHINA ; MAPS ; SET |
资助项目 | The authors sincerely thank the production agencies that provided free land- cover data products and validation reference datasets. |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001064134400001 |
资助机构 | The authors sincerely thank the production agencies that provided free land- cover data products and validation reference datasets. |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/194733] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wang, Juanle |
作者单位 | 1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 3.Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Lianyungang 222005, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China 6.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Guangmao,Wang, Juanle,Li, Kai,et al. Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain[J]. REMOTE SENSING,2023,15(17):19. |
APA | Jiang, Guangmao.,Wang, Juanle.,Li, Kai.,Xu, Chen.,Li, Heng.,...&Liu, Jingxuan.(2023).Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain.REMOTE SENSING,15(17),19. |
MLA | Jiang, Guangmao,et al."Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain".REMOTE SENSING 15.17(2023):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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