CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic
<p>The entire Arctic is rapidly warming, which brings in a multitude of environmental consequences far beyond the northern high-latitude limits. Land cover maps offer biophysical insights into the terrestrial environment and are therefore essential for understanding the transforming Arctic in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-01-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/133/2023/essd-15-133-2023.pdf |
| _version_ | 1797957639262437376 |
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| author | C. Liu X. Xu X. Feng X. Cheng C. Liu H. Huang H. Huang H. Huang |
| author_facet | C. Liu X. Xu X. Feng X. Cheng C. Liu H. Huang H. Huang H. Huang |
| author_sort | C. Liu |
| collection | DOAJ |
| description | <p>The entire Arctic is rapidly warming, which brings in a
multitude of environmental consequences far beyond the northern
high-latitude limits. Land cover maps offer biophysical insights into the
terrestrial environment and are therefore essential for understanding the
transforming Arctic in the context of anthropogenic activity and climate
change. Satellite remote sensing has revolutionized our ability to capture
land cover information over large areas. However, circumpolar Arctic-scale
fine-resolution land cover mapping has so far been lacking. Here, we utilize
a combination of multimode satellite observations and topographic data at 10 m resolution to provide a new baseline land cover product (CALC-2020) across
the entire terrestrial Arctic for circa 2020. Accuracy assessments suggest
that the CALC-2020 product exhibits satisfactory performances, with overall
accuracies of 79.3 % and 67.3 %, respectively, at validation sample
locations and field/flux tower sites. The derived land cover map displays
reasonable agreement with pre-existing products, meanwhile depicting more
subtle polar biome patterns. Based on the CALC-2020 dataset, we show that
nearly half of the Arctic landmass is covered by graminoid tundra or
lichen/moss. Spatially, the land cover composition exhibits regional
dominance, reflecting the complex suite of both biotic and abiotic processes
that jointly determine the Arctic landscape. The CALC-2020 product we
developed can be used to improve Earth system modelling and benefit the
ongoing efforts on sustainable Arctic land management by public and
non-governmental sectors. The CALC-2020 land cover product is freely
available on Science Data Bank: <a href="https://doi.org/10.57760/sciencedb.01869">https://doi.org/10.57760/sciencedb.01869</a>
(Xu et al., 2022a).</p> |
| first_indexed | 2024-04-11T00:08:08Z |
| format | Article |
| id | doaj.art-daca4a5cd9204d96a67d4c2c08680fac |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-11T00:08:08Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-daca4a5cd9204d96a67d4c2c08680fac2023-01-09T10:01:46ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-01-011513315310.5194/essd-15-133-2023CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar ArcticC. Liu0X. Xu1X. Feng2X. Cheng3C. Liu4H. Huang5H. Huang6H. Huang7School of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, ChinaPeng Cheng Laboratory, Shenzhen 518066, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, ChinaPeng Cheng Laboratory, Shenzhen 518066, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China<p>The entire Arctic is rapidly warming, which brings in a multitude of environmental consequences far beyond the northern high-latitude limits. Land cover maps offer biophysical insights into the terrestrial environment and are therefore essential for understanding the transforming Arctic in the context of anthropogenic activity and climate change. Satellite remote sensing has revolutionized our ability to capture land cover information over large areas. However, circumpolar Arctic-scale fine-resolution land cover mapping has so far been lacking. Here, we utilize a combination of multimode satellite observations and topographic data at 10 m resolution to provide a new baseline land cover product (CALC-2020) across the entire terrestrial Arctic for circa 2020. Accuracy assessments suggest that the CALC-2020 product exhibits satisfactory performances, with overall accuracies of 79.3 % and 67.3 %, respectively, at validation sample locations and field/flux tower sites. The derived land cover map displays reasonable agreement with pre-existing products, meanwhile depicting more subtle polar biome patterns. Based on the CALC-2020 dataset, we show that nearly half of the Arctic landmass is covered by graminoid tundra or lichen/moss. Spatially, the land cover composition exhibits regional dominance, reflecting the complex suite of both biotic and abiotic processes that jointly determine the Arctic landscape. The CALC-2020 product we developed can be used to improve Earth system modelling and benefit the ongoing efforts on sustainable Arctic land management by public and non-governmental sectors. The CALC-2020 land cover product is freely available on Science Data Bank: <a href="https://doi.org/10.57760/sciencedb.01869">https://doi.org/10.57760/sciencedb.01869</a> (Xu et al., 2022a).</p>https://essd.copernicus.org/articles/15/133/2023/essd-15-133-2023.pdf |
| spellingShingle | C. Liu X. Xu X. Feng X. Cheng C. Liu H. Huang H. Huang H. Huang CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic Earth System Science Data |
| title | CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic |
| title_full | CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic |
| title_fullStr | CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic |
| title_full_unstemmed | CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic |
| title_short | CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic |
| title_sort | calc 2020 a new baseline land cover map at 10 thinsp m resolution for the circumpolar arctic |
| url | https://essd.copernicus.org/articles/15/133/2023/essd-15-133-2023.pdf |
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