Monitoring the human footprint across the Arctic coastal region in the context of climate change impact assessment


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guido.grosse [ at ] awi.de

Abstract

Infrastructure and anthropogenic impacts are expanding across the Arctic. A consistent record of human impact is required in order to quantify the changes and to assess climate change impacts on the communities. We derived a first panarctic satellite-based record of expanding infrastructure and anthropogenic impacts along all permafrost affected coasts (100 km buffer) within the H2020 project Nunataryuk based on Sentinel-1/2 satellite imagery. C-band synthetic aperture radar and multi-spectral information is combined through a machine learning framework. Depending on region, we identified up to 50% more information (human presence) than in OpenStreetMap. The combination with satellite records on vegetation change (specifically NDVI from Landsat since 2000) allowed quantification of recent expansion of infrastructure. Most of the expanded human presence occurred in Russia related predominantly to oil/gas industry. The majority of areas with human presence will be subject to thaw by mid-21st century based on ground temperature trends derived from the ESA CCI+ Permafrost time series (1997-2019). Of specific concern in this context are also settlements located directly at permafrost affected coasts. An efficient erosion rate monitoring scheme needs to be developed and combined with settlement records in order to assess the risk for local communities and infrastructure. Relevant progress in the framework of the ESA EO4PAC project will be discussed.



Item Type
Conference (Talk)
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Helmholtz Cross Cutting Activity (2021-2027)
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Not peer-reviewed
Publication Status
Published
Event Details
AGU Fall Meeting 2021, 13 Dec 2021 - 17 Dec 2021, Online.
Eprint ID
55339
Cite as
Bartsch, A. , Pointner, G. , Widhalm, B. , Nitze, I. , Grosse, G. , Lantuit, H. and Vieira, G. (2021): Monitoring the human footprint across the Arctic coastal region in the context of climate change impact assessment , AGU Fall Meeting 2021, Online, 13 December 2021 - 17 December 2021 .


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