Expanding infrastructure and growing anthropogenic impacts along Arctic coasts

被引:42
作者
Bartsch, Annett [1 ,2 ]
Pointner, Georg [1 ]
Nitze, Ingmar [3 ]
Efimova, Aleksandra [1 ]
Jakober, Dan [1 ]
Ley, Sarah [1 ]
Hoegstroem, Elin [1 ]
Grosse, Guido [3 ,4 ]
Schweitzer, Peter [2 ,5 ]
机构
[1] Bgeos, Industriestr 1, A-2100 Korneuburg, Austria
[2] Austrian Polar Res Inst, Vienna, Austria
[3] Alfred Wegener Inst Polar & Marine Res, Permafrost Res Sect, Telegrafenberg A45, D-14473 Potsdam, Germany
[4] Univ Potsdam, Inst Geosci, Karl Liebknecht Str 24-25, D-14476 Potsdam, Germany
[5] Univ Vienna, Dept Social & Cultural Anthropol, Univ Str 7, A-1010 Vienna, Austria
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
Arctic; permafrost; settlements; infrastructure; remote sensing; machine learning; Sentinel; CLIMATE-CHANGE; PERMAFROST; VULNERABILITY; COMMUNITIES; ADAPTATION; DYNAMICS; FIELD; ICE; OIL; MAP;
D O I
10.1088/1748-9326/ac3176
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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, approximate to 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-circle 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 thaw.
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页数:22
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