Expanding infrastructure and growing anthropogenic impacts along Arctic coasts
The accelerating climatic changes and new infrastructure development across the Arctic require more robust risk and environmental assessment, but thus far there is no consistent record of human impact. We provide a first panarctic satellite-based record of expanding infrastructure and anthropogenic...
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ftdoajarticles:oai:doaj.org/article:84b2cb13385040ea889e95f99134e54d 2023-09-05T13:16:51+02:00 Expanding infrastructure and growing anthropogenic impacts along Arctic coasts Annett Bartsch Georg Pointner Ingmar Nitze Aleksandra Efimova Dan Jakober Sarah Ley Elin Högström Guido Grosse Peter Schweitzer 2021-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/ac3176 https://doaj.org/article/84b2cb13385040ea889e95f99134e54d EN eng IOP Publishing https://doi.org/10.1088/1748-9326/ac3176 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ac3176 1748-9326 https://doaj.org/article/84b2cb13385040ea889e95f99134e54d Environmental Research Letters, Vol 16, Iss 11, p 115013 (2021) Arctic permafrost settlements infrastructure remote sensing machine learning Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2021 ftdoajarticles https://doi.org/10.1088/1748-9326/ac3176 2023-08-13T00:37:02Z The accelerating climatic changes and new infrastructure development across the Arctic require more robust risk and environmental assessment, but thus far there is no consistent record of human impact. We provide a first panarctic satellite-based record of expanding infrastructure and anthropogenic impacts along all permafrost affected coasts (100 km buffer, ≈6.2 Mio km ^2 ), named the Sentinel-1/2 derived Arctic Coastal Human Impact (SACHI) dataset. The completeness and thematic content goes beyond traditional satellite based approaches as well as other publicly accessible data sources. Three classes are considered: linear transport infrastructure (roads and railways), buildings, and other impacted area. C-band synthetic aperture radar and multi-spectral information (2016–2020) is exploited within a machine learning framework (gradient boosting machines and deep learning) and combined for retrieval with 10 m nominal resolution. In total, an area of 1243 km ^2 constitutes human-built infrastructure as of 2016–2020. Depending on region, SACHI contains 8%–48% more information (human presence) than in OpenStreetMap. 221 (78%) more settlements are identified than in a recently published dataset for this region. 47% is not covered in a global night-time light dataset from 2016. At least 15% (180 km ^2 ) correspond to new or increased detectable human impact since 2000 according to a Landsat-based normalized difference vegetation index trend comparison within the analysis extent. Most of the expanded presence occurred in Russia, but also some in Canada and US. 31% and 5% of impacted area associated predominantly with oil/gas and mining industry respectively has appeared after 2000. 55% of the identified human impacted area will be shifting to above 0 ^∘ C ground temperature at two meter depth by 2050 if current permafrost warming trends continue at the pace of the last two decades, highlighting the critical importance to better understand how much and where Arctic infrastructure may become threatened by permafrost ... Article in Journal/Newspaper Arctic permafrost Directory of Open Access Journals: DOAJ Articles Arctic Canada The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Environmental Research Letters 16 11 115013 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic permafrost settlements infrastructure remote sensing machine learning Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
Arctic permafrost settlements infrastructure remote sensing machine learning Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Annett Bartsch Georg Pointner Ingmar Nitze Aleksandra Efimova Dan Jakober Sarah Ley Elin Högström Guido Grosse Peter Schweitzer Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
topic_facet |
Arctic permafrost settlements infrastructure remote sensing machine learning Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
The accelerating climatic changes and new infrastructure development across the Arctic require more robust risk and environmental assessment, but thus far there is no consistent record of human impact. We provide a first panarctic satellite-based record of expanding infrastructure and anthropogenic impacts along all permafrost affected coasts (100 km buffer, ≈6.2 Mio km ^2 ), named the Sentinel-1/2 derived Arctic Coastal Human Impact (SACHI) dataset. The completeness and thematic content goes beyond traditional satellite based approaches as well as other publicly accessible data sources. Three classes are considered: linear transport infrastructure (roads and railways), buildings, and other impacted area. C-band synthetic aperture radar and multi-spectral information (2016–2020) is exploited within a machine learning framework (gradient boosting machines and deep learning) and combined for retrieval with 10 m nominal resolution. In total, an area of 1243 km ^2 constitutes human-built infrastructure as of 2016–2020. Depending on region, SACHI contains 8%–48% more information (human presence) than in OpenStreetMap. 221 (78%) more settlements are identified than in a recently published dataset for this region. 47% is not covered in a global night-time light dataset from 2016. At least 15% (180 km ^2 ) correspond to new or increased detectable human impact since 2000 according to a Landsat-based normalized difference vegetation index trend comparison within the analysis extent. Most of the expanded presence occurred in Russia, but also some in Canada and US. 31% and 5% of impacted area associated predominantly with oil/gas and mining industry respectively has appeared after 2000. 55% of the identified human impacted area will be shifting to above 0 ^∘ C ground temperature at two meter depth by 2050 if current permafrost warming trends continue at the pace of the last two decades, highlighting the critical importance to better understand how much and where Arctic infrastructure may become threatened by permafrost ... |
format |
Article in Journal/Newspaper |
author |
Annett Bartsch Georg Pointner Ingmar Nitze Aleksandra Efimova Dan Jakober Sarah Ley Elin Högström Guido Grosse Peter Schweitzer |
author_facet |
Annett Bartsch Georg Pointner Ingmar Nitze Aleksandra Efimova Dan Jakober Sarah Ley Elin Högström Guido Grosse Peter Schweitzer |
author_sort |
Annett Bartsch |
title |
Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
title_short |
Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
title_full |
Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
title_fullStr |
Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
title_full_unstemmed |
Expanding infrastructure and growing anthropogenic impacts along Arctic coasts |
title_sort |
expanding infrastructure and growing anthropogenic impacts along arctic coasts |
publisher |
IOP Publishing |
publishDate |
2021 |
url |
https://doi.org/10.1088/1748-9326/ac3176 https://doaj.org/article/84b2cb13385040ea889e95f99134e54d |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Arctic Canada The Sentinel |
geographic_facet |
Arctic Canada The Sentinel |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
Environmental Research Letters, Vol 16, Iss 11, p 115013 (2021) |
op_relation |
https://doi.org/10.1088/1748-9326/ac3176 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/ac3176 1748-9326 https://doaj.org/article/84b2cb13385040ea889e95f99134e54d |
op_doi |
https://doi.org/10.1088/1748-9326/ac3176 |
container_title |
Environmental Research Letters |
container_volume |
16 |
container_issue |
11 |
container_start_page |
115013 |
_version_ |
1776198282035331072 |