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1
Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)
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Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015)

Earth system science data, 2018-01, Vol.10 (1), p.219-234 [Peer Reviewed Journal]

COPYRIGHT 2018 Copernicus GmbH ;2018. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1866-3516 ;ISSN: 1866-3508 ;EISSN: 1866-3516 ;DOI: 10.5194/essd-10-219-2018

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2
From land-use/land-cover to land system science: This article belongs to Ambio’s 50th Anniversary Collection. Theme: Agricultural land use
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From land-use/land-cover to land system science: This article belongs to Ambio’s 50th Anniversary Collection. Theme: Agricultural land use

Ambio, 2021-07, Vol.50 (7), p.1291-1294 [Peer Reviewed Journal]

Royal Swedish Academy of Sciences 2021 ;ISSN: 0044-7447 ;EISSN: 1654-7209 ;DOI: 10.1007/s13280-021-01510-4 ;PMID: 33713293

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3
Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison
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Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison

Global change biology, 2016-12, Vol.22 (12), p.3967-3983 [Peer Reviewed Journal]

2016 The Authors. Published by John Wiley & Sons Ltd. ;2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. ;Copyright © 2016 John Wiley & Sons Ltd ;Wageningen University & Research ;ISSN: 1354-1013 ;EISSN: 1365-2486 ;DOI: 10.1111/gcb.13337 ;PMID: 27135635

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4
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135

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5
Copernicus Global Land Cover Layers—Collection 2
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Copernicus Global Land Cover Layers—Collection 2

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.1044 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12061044

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6
Dynamic World, Near real-time global 10 m land use land cover mapping
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Dynamic World, Near real-time global 10 m land use land cover mapping

Scientific data, 2022-06, Vol.9 (1), p.251-17, Article 251 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2052-4463 ;EISSN: 2052-4463 ;DOI: 10.1038/s41597-022-01307-4 ;PMID: 35680939

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7
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
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Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.4101 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14164101

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8
Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
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Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.426 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030426

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9
Dense dilated convolutions merging network for land cover classification
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Dense dilated convolutions merging network for land cover classification

IEEE transactions on geoscience and remote sensing, 2020-09 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 1558-0644 ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2020.2976658

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10
Determining Robust Impacts of Land-Use-Induced Land Cover Changes on Surface Climate over North America and Eurasia: Results from the First Set of LUCID Experiments
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Determining Robust Impacts of Land-Use-Induced Land Cover Changes on Surface Climate over North America and Eurasia: Results from the First Set of LUCID Experiments

Journal of climate, 2012-05, Vol.25 (9), p.3261-3281 [Peer Reviewed Journal]

2012 American Meteorological Society ;2015 INIST-CNRS ;Copyright American Meteorological Society 2012 ;Distributed under a Creative Commons Attribution 4.0 International License ;Wageningen University & Research ;ISSN: 0894-8755 ;EISSN: 1520-0442 ;DOI: 10.1175/jcli-d-11-00338.1

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11
Land cover change or land-use intensification: simulating land system change with a global-scale land change model
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Land cover change or land-use intensification: simulating land system change with a global-scale land change model

Global change biology, 2013-12, Vol.19 (12), p.3648-3667 [Peer Reviewed Journal]

2013 John Wiley & Sons Ltd ;2015 INIST-CNRS ;2013 John Wiley & Sons Ltd. ;ISSN: 1354-1013 ;EISSN: 1365-2486 ;DOI: 10.1111/gcb.12331 ;PMID: 23893426

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12
Global and regional fluxes of carbon from land use and land cover change 1850–2015
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Article
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Global and regional fluxes of carbon from land use and land cover change 1850–2015

Global biogeochemical cycles, 2017-03, Vol.31 (3), p.456-472 [Peer Reviewed Journal]

2017. American Geophysical Union. All Rights Reserved. ;ISSN: 0886-6236 ;EISSN: 1944-9224 ;DOI: 10.1002/2016GB005546

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13
Predicting groundwater recharge for varying land cover and climate conditions – a global meta-study
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Predicting groundwater recharge for varying land cover and climate conditions – a global meta-study

Hydrology and earth system sciences, 2018-05, Vol.22 (5), p.2689-2703 [Peer Reviewed Journal]

COPYRIGHT 2018 Copernicus GmbH ;2018. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1607-7938 ;ISSN: 1027-5606 ;EISSN: 1607-7938 ;DOI: 10.5194/hess-22-2689-2018

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14
From land-use/land-cover to land system science
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Article
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From land-use/land-cover to land system science

Ambio, 2021-07, Vol.50 (7), p.1291-1294 [Peer Reviewed Journal]

Royal Swedish Academy of Sciences 2021. ;ISSN: 0044-7447 ;EISSN: 1654-7209 ;DOI: 10.1007/s13280-021-01510-4

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15
Land management and land-cover change have impacts of similar magnitude on surface temperature
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Land management and land-cover change have impacts of similar magnitude on surface temperature

Nature climate change, 2014-05, Vol.4 (5), p.389-393 [Peer Reviewed Journal]

2015 INIST-CNRS ;Copyright Nature Publishing Group May 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;Wageningen University & Research ;ISSN: 1758-678X ;EISSN: 1758-6798 ;DOI: 10.1038/nclimate2196

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16
Towards quantification of Holocene anthropogenic land-cover change in temperate China: A review in the light of pollen-based REVEALS reconstructions of regional plant cover
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Towards quantification of Holocene anthropogenic land-cover change in temperate China: A review in the light of pollen-based REVEALS reconstructions of regional plant cover

Earth-science reviews, 2020-04, Vol.203, p.1 [Peer Reviewed Journal]

ISSN: 1872-6828 ;ISSN: 0012-8252 ;EISSN: 1872-6828 ;DOI: 10.1016/j.earscirev.2020.103119

Digital Resources/Online E-Resources

17
Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets
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Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets

Journal of urban management, 2020-09, Vol.9 (3), p.347-359 [Peer Reviewed Journal]

2020 Zhejiang University and Chinese Association of Urban Management ;ISSN: 2226-5856 ;DOI: 10.1016/j.jum.2020.05.004

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18
Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China
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Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques-A case study of a hilly area, Jiangle, China

PloS one, 2018-07, Vol.13 (7), p.e0200493-e0200493 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Liping et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Liping et al 2018 Liping et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0200493 ;PMID: 30005084

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19
Open access to Earth land-cover map
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Open access to Earth land-cover map

Nature (London), 2014-10, Vol.514 (7523), p.434-434 [Peer Reviewed Journal]

COPYRIGHT 2014 Nature Publishing Group ;COPYRIGHT 2014 Nature Publishing Group ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/514434c

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20
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019
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Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3331 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13163331

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