Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-15-133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic
Chong Liu
School of Geospatial Engineering and Science, Sun Yat-sen University,
and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Xiaoqing Xu
Peng Cheng Laboratory, Shenzhen 518066, China
Xuejie Feng
School of Geospatial Engineering and Science, Sun Yat-sen University,
and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Xiao Cheng
School of Geospatial Engineering and Science, Sun Yat-sen University,
and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
State Key Laboratory of Remote Sensing Science, Aerospace Information
Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Huabing Huang
CORRESPONDING AUTHOR
School of Geospatial Engineering and Science, Sun Yat-sen University,
and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Peng Cheng Laboratory, Shenzhen 518066, China
International Research Center of Big Data for Sustainable Development
Goals, Beijing 100094, China
Viewed
Total article views: 6,746 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Aug 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,355 | 2,251 | 140 | 6,746 | 497 | 158 | 214 |
- HTML: 4,355
- PDF: 2,251
- XML: 140
- Total: 6,746
- Supplement: 497
- BibTeX: 158
- EndNote: 214
Total article views: 5,491 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Jan 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,586 | 1,785 | 120 | 5,491 | 340 | 142 | 201 |
- HTML: 3,586
- PDF: 1,785
- XML: 120
- Total: 5,491
- Supplement: 340
- BibTeX: 142
- EndNote: 201
Total article views: 1,255 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Aug 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 769 | 466 | 20 | 1,255 | 157 | 16 | 13 |
- HTML: 769
- PDF: 466
- XML: 20
- Total: 1,255
- Supplement: 157
- BibTeX: 16
- EndNote: 13
Viewed (geographical distribution)
Total article views: 6,746 (including HTML, PDF, and XML)
Thereof 6,648 with geography defined
and 98 with unknown origin.
Total article views: 5,491 (including HTML, PDF, and XML)
Thereof 5,429 with geography defined
and 62 with unknown origin.
Total article views: 1,255 (including HTML, PDF, and XML)
Thereof 1,219 with geography defined
and 36 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Retrieval of fine resolution land covers in high latitude region of Alaska from integrated phenological characteristics G. Qu et al. https://doi.org/10.1016/j.srs.2026.100432
- Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024 L. Hebryn-Baidy et al. https://doi.org/10.3390/geomatics6010011
- A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types X. Huang et al. https://doi.org/10.5194/essd-16-3307-2024
- Characterizing and Detecting Multiscenario Degradation of the Maidika Alpine Wetland Nature Reserve in the Qinghai–Tibet Plateau Using Landsat Time Series Y. Chen et al. https://doi.org/10.34133/remotesensing.0380
- Circumarctic land cover diversity considering wetness gradients A. Bartsch et al. https://doi.org/10.5194/hess-28-2421-2024
- Machine Learning and Morphometric Analysis for Evaluating the Vulnerability of Tundra Landscapes to Thermokarst Hazards in the Lena Delta: A Case Study of Arga Island A. Kartoziia https://doi.org/10.3390/geohazards6020031
- Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments C. Liu et al. https://doi.org/10.1080/17538947.2024.2302579
- Coarse land cover datasets bias Arctic-Boreal wetland methane budgets J. Hashemi et al. https://doi.org/10.1038/s43247-025-02963-1
- Comparison of machine learning techniques for thermokarst landscape mapping using Google Earth Engine A. Kartoziia https://doi.org/10.3934/geosci.2025030
- Comparing Multiscale Object-Based Image Analysis and Deep Learning for High-Resolution Classification of Ice Wedge Polygon Tundra J. Wagner & G. Hugelius https://doi.org/10.1080/07038992.2026.2654952
- Land cover changes across Greenland dominated by a doubling of vegetation in three decades M. Grimes et al. https://doi.org/10.1038/s41598-024-52124-1
- Using Google Earth Engine to Assess the Current State of Thermokarst Terrain on Arga Island (the Lena Delta) A. Kartoziia https://doi.org/10.3390/earth5020012
- High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al. https://doi.org/10.3390/land13111811
- First estimation and evaluation of hourly biomass burning emissions in north American high latitudes F. Li et al. https://doi.org/10.1016/j.rse.2025.114814
14 citations as recorded by crossref.
- Retrieval of fine resolution land covers in high latitude region of Alaska from integrated phenological characteristics G. Qu et al. https://doi.org/10.1016/j.srs.2026.100432
- Urban Land Cover Mapping Enhanced with LiDAR Canopy Height Data to Quantify Urbanisation in an Arctic City: A Case Study of the City of Tromsø, Norway, 1984–2024 L. Hebryn-Baidy et al. https://doi.org/10.3390/geomatics6010011
- A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types X. Huang et al. https://doi.org/10.5194/essd-16-3307-2024
- Characterizing and Detecting Multiscenario Degradation of the Maidika Alpine Wetland Nature Reserve in the Qinghai–Tibet Plateau Using Landsat Time Series Y. Chen et al. https://doi.org/10.34133/remotesensing.0380
- Circumarctic land cover diversity considering wetness gradients A. Bartsch et al. https://doi.org/10.5194/hess-28-2421-2024
- Machine Learning and Morphometric Analysis for Evaluating the Vulnerability of Tundra Landscapes to Thermokarst Hazards in the Lena Delta: A Case Study of Arga Island A. Kartoziia https://doi.org/10.3390/geohazards6020031
- Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments C. Liu et al. https://doi.org/10.1080/17538947.2024.2302579
- Coarse land cover datasets bias Arctic-Boreal wetland methane budgets J. Hashemi et al. https://doi.org/10.1038/s43247-025-02963-1
- Comparison of machine learning techniques for thermokarst landscape mapping using Google Earth Engine A. Kartoziia https://doi.org/10.3934/geosci.2025030
- Comparing Multiscale Object-Based Image Analysis and Deep Learning for High-Resolution Classification of Ice Wedge Polygon Tundra J. Wagner & G. Hugelius https://doi.org/10.1080/07038992.2026.2654952
- Land cover changes across Greenland dominated by a doubling of vegetation in three decades M. Grimes et al. https://doi.org/10.1038/s41598-024-52124-1
- Using Google Earth Engine to Assess the Current State of Thermokarst Terrain on Arga Island (the Lena Delta) A. Kartoziia https://doi.org/10.3390/earth5020012
- High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset G. Bessardon et al. https://doi.org/10.3390/land13111811
- First estimation and evaluation of hourly biomass burning emissions in north American high latitudes F. Li et al. https://doi.org/10.1016/j.rse.2025.114814
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
Rapid Arctic changes are increasingly influencing human society, both locally and globally. Land cover offers a basis for characterizing the terrestrial world, yet spatially detailed information on Arctic land cover is lacking. We employ multi-source data to develop a new land cover map for the circumpolar Arctic. Our product reveals regionally contrasting biome distributions not fully documented in existing studies and thus enhances our understanding of the Arctic’s terrestrial system.
Rapid Arctic changes are increasingly influencing human society, both locally and globally. Land...
Special issue
Altmetrics
Final-revised paper
Preprint