Annual dynamics of global land cover and its long-term changes from 1982 to 2015
Land cover is the physical material at the surface of the Earth. As the cause and result of global environmental change, land cover change (LCC) influences the global energy balance and biogeochemical cycles. Continuous and dynamic monitoring of global LC is urgently needed. Effective monitoring and...
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ftdoajarticles:oai:doaj.org/article:61a322601c00497183a2c01eeb41fccc 2023-05-15T18:40:41+02:00 Annual dynamics of global land cover and its long-term changes from 1982 to 2015 H. Liu P. Gong J. Wang N. Clinton Y. Bai S. Liang 2020-06-01T00:00:00Z https://doi.org/10.5194/essd-12-1217-2020 https://doaj.org/article/61a322601c00497183a2c01eeb41fccc EN eng Copernicus Publications https://www.earth-syst-sci-data.net/12/1217/2020/essd-12-1217-2020.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-12-1217-2020 1866-3508 1866-3516 https://doaj.org/article/61a322601c00497183a2c01eeb41fccc Earth System Science Data, Vol 12, Pp 1217-1243 (2020) Environmental sciences GE1-350 Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.5194/essd-12-1217-2020 2022-12-31T11:42:45Z Land cover is the physical material at the surface of the Earth. As the cause and result of global environmental change, land cover change (LCC) influences the global energy balance and biogeochemical cycles. Continuous and dynamic monitoring of global LC is urgently needed. Effective monitoring and comprehensive analysis of LCC at the global scale are rare. With the latest version of GLASS (Global Land Surface Satellite) CDRs (climate data records) from 1982 to 2015, we built the first record of 34-year-long annual dynamics of global land cover (GLASS-GLC) at 5 km resolution using the Google Earth Engine (GEE) platform. Compared to earlier global land cover (LC) products, GLASS-GLC is characterized by high consistency, more detail, and longer temporal coverage. The average overall accuracy for the 34 years each with seven classes, including cropland, forest, grassland, shrubland, tundra, barren land, and snow/ice, is 82.81 % based on 2431 test sample units. We implemented a systematic uncertainty analysis and carried out a comprehensive spatiotemporal pattern analysis. Significant changes at various scales were found, including barren land loss and cropland gain in the tropics, forest gain in the Northern Hemisphere, and grassland loss in Asia. A global quantitative analysis of human factors showed that the average human impact level in areas with significant LCC was about 25.49 %. The anthropogenic influence has a strong correlation with the noticeable vegetation gain, especially for forest. Based on GLASS-GLC, we can conduct long-term LCC analysis, improve our understanding of global environmental change, and mitigate its negative impact. GLASS-GLC will be further applied in Earth system modeling to facilitate research on global carbon and water cycling, vegetation dynamics, and climate change. The GLASS-GLC data set presented in this article is available at https://doi.org/10.1594/PANGAEA.913496 (Liu et al., 2020). Article in Journal/Newspaper Tundra Directory of Open Access Journals: DOAJ Articles Earth System Science Data 12 2 1217 1243 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 H. Liu P. Gong J. Wang N. Clinton Y. Bai S. Liang Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Land cover is the physical material at the surface of the Earth. As the cause and result of global environmental change, land cover change (LCC) influences the global energy balance and biogeochemical cycles. Continuous and dynamic monitoring of global LC is urgently needed. Effective monitoring and comprehensive analysis of LCC at the global scale are rare. With the latest version of GLASS (Global Land Surface Satellite) CDRs (climate data records) from 1982 to 2015, we built the first record of 34-year-long annual dynamics of global land cover (GLASS-GLC) at 5 km resolution using the Google Earth Engine (GEE) platform. Compared to earlier global land cover (LC) products, GLASS-GLC is characterized by high consistency, more detail, and longer temporal coverage. The average overall accuracy for the 34 years each with seven classes, including cropland, forest, grassland, shrubland, tundra, barren land, and snow/ice, is 82.81 % based on 2431 test sample units. We implemented a systematic uncertainty analysis and carried out a comprehensive spatiotemporal pattern analysis. Significant changes at various scales were found, including barren land loss and cropland gain in the tropics, forest gain in the Northern Hemisphere, and grassland loss in Asia. A global quantitative analysis of human factors showed that the average human impact level in areas with significant LCC was about 25.49 %. The anthropogenic influence has a strong correlation with the noticeable vegetation gain, especially for forest. Based on GLASS-GLC, we can conduct long-term LCC analysis, improve our understanding of global environmental change, and mitigate its negative impact. GLASS-GLC will be further applied in Earth system modeling to facilitate research on global carbon and water cycling, vegetation dynamics, and climate change. The GLASS-GLC data set presented in this article is available at https://doi.org/10.1594/PANGAEA.913496 (Liu et al., 2020). |
format |
Article in Journal/Newspaper |
author |
H. Liu P. Gong J. Wang N. Clinton Y. Bai S. Liang |
author_facet |
H. Liu P. Gong J. Wang N. Clinton Y. Bai S. Liang |
author_sort |
H. Liu |
title |
Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
title_short |
Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
title_full |
Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
title_fullStr |
Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
title_full_unstemmed |
Annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
title_sort |
annual dynamics of global land cover and its long-term changes from 1982 to 2015 |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/essd-12-1217-2020 https://doaj.org/article/61a322601c00497183a2c01eeb41fccc |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Earth System Science Data, Vol 12, Pp 1217-1243 (2020) |
op_relation |
https://www.earth-syst-sci-data.net/12/1217/2020/essd-12-1217-2020.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-12-1217-2020 1866-3508 1866-3516 https://doaj.org/article/61a322601c00497183a2c01eeb41fccc |
op_doi |
https://doi.org/10.5194/essd-12-1217-2020 |
container_title |
Earth System Science Data |
container_volume |
12 |
container_issue |
2 |
container_start_page |
1217 |
op_container_end_page |
1243 |
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1766230092697042944 |