Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM
Man-made impervious areas map is of great demand in environmental and urbanization studies since impervious areas are considered as a key indication of urbanization, especially for circumpolar Arctic. However, to date, finer resolution and spatially continuous impervious areas information remains sc...
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ftdoajarticles:oai:doaj.org/article:78e83ac6267b4cf4a13be07bc90c4d35 2023-05-15T14:35:06+02:00 Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM Xiaoqing Xu Chong Liu Caixia Liu Fengming Hui Xiao Cheng Huabing Huang 2022-02-01T00:00:00Z https://doi.org/10.1080/20964471.2022.2025663 https://doaj.org/article/78e83ac6267b4cf4a13be07bc90c4d35 EN eng Taylor & Francis Group http://dx.doi.org/10.1080/20964471.2022.2025663 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 2096-4471 2574-5417 doi:10.1080/20964471.2022.2025663 https://doaj.org/article/78e83ac6267b4cf4a13be07bc90c4d35 Big Earth Data, Vol 0, Iss 0, Pp 1-22 (2022) artificial impervious areas 10-m spatial resolution map random forest northern arctic treeline google earth engine (gee) Geography. Anthropology. Recreation G Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.1080/20964471.2022.2025663 2022-12-31T09:42:32Z Man-made impervious areas map is of great demand in environmental and urbanization studies since impervious areas are considered as a key indication of urbanization, especially for circumpolar Arctic. However, to date, finer resolution and spatially continuous impervious areas information remains scarce in the Arctic. In this study, we developed an accurate and complete circumpolar Arctic Man-made impervious areas (CAMI) map at a resolution of 10 m by combining Sentinel-1 C-band Synthetic Aperture Radar, Sentinel-2 multispectral images, OpenStreetMap, and ArcticDEM via Google Earth Engine platform. A random forest classifier model was trained and used to generate corresponding impervious areas map for the year 2020. The evaluation results suggested that CAMI was the most accurate with an overall accuracy of 86.36% and kappa coefficient of 70.73% as against the three existing impervious areas products. Based on the generated map and OpenStreetMap, we estimated that total impervious areas area in the Arctic has achieved 807.80 $$k{m^2}$$, of which roads, industrial and resident land were three major land use types, accounting for 54.08%, 17.85% and 10.34%, respectively. The CAMI map will support for new application and provide advanced insight into the infrastructure vulnerability evaluation and environmental sustainability in the Arctic. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Big Earth Data 6 2 196 218 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
artificial impervious areas 10-m spatial resolution map random forest northern arctic treeline google earth engine (gee) Geography. Anthropology. Recreation G Geology QE1-996.5 |
spellingShingle |
artificial impervious areas 10-m spatial resolution map random forest northern arctic treeline google earth engine (gee) Geography. Anthropology. Recreation G Geology QE1-996.5 Xiaoqing Xu Chong Liu Caixia Liu Fengming Hui Xiao Cheng Huabing Huang Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
topic_facet |
artificial impervious areas 10-m spatial resolution map random forest northern arctic treeline google earth engine (gee) Geography. Anthropology. Recreation G Geology QE1-996.5 |
description |
Man-made impervious areas map is of great demand in environmental and urbanization studies since impervious areas are considered as a key indication of urbanization, especially for circumpolar Arctic. However, to date, finer resolution and spatially continuous impervious areas information remains scarce in the Arctic. In this study, we developed an accurate and complete circumpolar Arctic Man-made impervious areas (CAMI) map at a resolution of 10 m by combining Sentinel-1 C-band Synthetic Aperture Radar, Sentinel-2 multispectral images, OpenStreetMap, and ArcticDEM via Google Earth Engine platform. A random forest classifier model was trained and used to generate corresponding impervious areas map for the year 2020. The evaluation results suggested that CAMI was the most accurate with an overall accuracy of 86.36% and kappa coefficient of 70.73% as against the three existing impervious areas products. Based on the generated map and OpenStreetMap, we estimated that total impervious areas area in the Arctic has achieved 807.80 $$k{m^2}$$, of which roads, industrial and resident land were three major land use types, accounting for 54.08%, 17.85% and 10.34%, respectively. The CAMI map will support for new application and provide advanced insight into the infrastructure vulnerability evaluation and environmental sustainability in the Arctic. |
format |
Article in Journal/Newspaper |
author |
Xiaoqing Xu Chong Liu Caixia Liu Fengming Hui Xiao Cheng Huabing Huang |
author_facet |
Xiaoqing Xu Chong Liu Caixia Liu Fengming Hui Xiao Cheng Huabing Huang |
author_sort |
Xiaoqing Xu |
title |
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
title_short |
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
title_full |
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
title_fullStr |
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
title_full_unstemmed |
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM |
title_sort |
fine-resolution mapping of the circumpolar arctic man-made impervious areas (cami) using sentinels, openstreetmap and arcticdem |
publisher |
Taylor & Francis Group |
publishDate |
2022 |
url |
https://doi.org/10.1080/20964471.2022.2025663 https://doaj.org/article/78e83ac6267b4cf4a13be07bc90c4d35 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Big Earth Data, Vol 0, Iss 0, Pp 1-22 (2022) |
op_relation |
http://dx.doi.org/10.1080/20964471.2022.2025663 https://doaj.org/toc/2096-4471 https://doaj.org/toc/2574-5417 2096-4471 2574-5417 doi:10.1080/20964471.2022.2025663 https://doaj.org/article/78e83ac6267b4cf4a13be07bc90c4d35 |
op_doi |
https://doi.org/10.1080/20964471.2022.2025663 |
container_title |
Big Earth Data |
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6 |
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2 |
container_start_page |
196 |
op_container_end_page |
218 |
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