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Identifying pattern...
Identifying patterns and hotspots of global land cover transitions using the ESA CCI Land Cover dataset
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- Liu, Xiaoxuan (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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- Yu, Le (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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- Si, Yali (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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- Zhang, Chi (författare)
- KTH,Skolan för kemi, bioteknologi och hälsa (CBH)
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- Lu, Hui (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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- Yu, Chaoqing (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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- Gong, Peng (författare)
- Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China.;Joint Ctr Global Change Studies, Beijing, Peoples R China.
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Tsinghua Univ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China;Joint Ctr Global Change Studies, Beijing, Peoples R China. Skolan för kemi, bioteknologi och hälsa (CBH) (creator_code:org_t)
- Taylor & Francis Group, 2018
- 2018
- Engelska.
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Ingår i: Remote Sensing Letters. - : Taylor & Francis Group. - 2150-704X .- 2150-7058. ; 9:10, s. 972-981
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Land use/land cover change is a continuing research focus, not only because of its ecological and environmental effects but also because of the difficulties with accurate change detection and analysis uncertainty. The principal difficulty is the lack of a long time series of annual global land cover maps at a fine resolution. A new global long-term time series of annual datasets called the European Space Agency (ESA) Climate Change Initiative Land Cover (CCI-LC) has been published, making it possible to detect the global land cover changes. Using this ESA CCI-LC product from 1992-2015, we quantified the annual transitions of land cover change globally with the trajectory analysis method, analyzed the changes patterns and identified the land cover change hotspots. The total land cover change area for the world was 5.99 million km(2), amounting to only 3.36% of the total continental area. Most changes happened in forest and cropland, accounting 32% of all the land cover changes. Most land cover changes happened in tropical ecoregions. Grassland changes were mainly distributed in the temperate ecoregions, while cropland expansion occurred mainly in the tropical or subtropical ecoregions. The hotspots identified in this paper could provide target areas for further research.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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