Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain
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 Easter...
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ftdoajarticles:oai:doaj.org/article:5a0f61f54922438ca4bea80309426fea 2023-10-09T21:53:15+02:00 Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain Guangmao Jiang Juanle Wang Kai Li Chen Xu Heng Li Zongyi Jin Jingxuan Liu 2023-08-01T00:00:00Z https://doi.org/10.3390/rs15174254 https://doaj.org/article/5a0f61f54922438ca4bea80309426fea EN eng MDPI AG https://www.mdpi.com/2072-4292/15/17/4254 https://doaj.org/toc/2072-4292 doi:10.3390/rs15174254 2072-4292 https://doaj.org/article/5a0f61f54922438ca4bea80309426fea Remote Sensing, Vol 15, Iss 4254, p 4254 (2023) land cover data products Eastern European plain spatial consistency accuracy evaluation consistency analysis Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15174254 2023-09-10T00:34:43Z 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. Article in Journal/Newspaper kola peninsula Pechora Tundra Yuzhny Island Directory of Open Access Journals: DOAJ Articles Kola Peninsula Yuzhny Island ENVELOPE(54.223,54.223,71.831,71.831) Remote Sensing 15 17 4254 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
land cover data products Eastern European plain spatial consistency accuracy evaluation consistency analysis Science Q |
spellingShingle |
land cover data products Eastern European plain spatial consistency accuracy evaluation consistency analysis Science Q Guangmao Jiang Juanle Wang Kai Li Chen Xu Heng Li Zongyi Jin Jingxuan Liu Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
topic_facet |
land cover data products Eastern European plain spatial consistency accuracy evaluation consistency analysis Science Q |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Guangmao Jiang Juanle Wang Kai Li Chen Xu Heng Li Zongyi Jin Jingxuan Liu |
author_facet |
Guangmao Jiang Juanle Wang Kai Li Chen Xu Heng Li Zongyi Jin Jingxuan Liu |
author_sort |
Guangmao Jiang |
title |
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
title_short |
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
title_full |
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
title_fullStr |
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
title_full_unstemmed |
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain |
title_sort |
consistency analysis and accuracy evaluation of multi-source land cover data products in the eastern european plain |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15174254 https://doaj.org/article/5a0f61f54922438ca4bea80309426fea |
long_lat |
ENVELOPE(54.223,54.223,71.831,71.831) |
geographic |
Kola Peninsula Yuzhny Island |
geographic_facet |
Kola Peninsula Yuzhny Island |
genre |
kola peninsula Pechora Tundra Yuzhny Island |
genre_facet |
kola peninsula Pechora Tundra Yuzhny Island |
op_source |
Remote Sensing, Vol 15, Iss 4254, p 4254 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/17/4254 https://doaj.org/toc/2072-4292 doi:10.3390/rs15174254 2072-4292 https://doaj.org/article/5a0f61f54922438ca4bea80309426fea |
op_doi |
https://doi.org/10.3390/rs15174254 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
17 |
container_start_page |
4254 |
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1779316504167186432 |