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Monitoring rapid permafrost thaw using elevation models generated from satellite radar interferometry

Bernhard, Philipp und Zwieback, Simon und Leinss, Silvan und Hajnsek, Irena (2020) Monitoring rapid permafrost thaw using elevation models generated from satellite radar interferometry. In: EGUsphere, 7348. Copernicus GmbH. EGU General Assembly 2020, 2020-05-04 - 2020-05-08, Vienna, Austria. doi: 10.3929/ethz-b-000453641.

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Offizielle URL: https://www.research-collection.ethz.ch/handle/20.500.11850/453641

Kurzfassung

Vast areas of the Arctic host ice-rich permafrost, which is becoming increasingly vulnerable to terrain-altering thermokarst in a warming climate. Among the most rapid and dramatic changes are retrogressive thaw slumps. These slumps evolve by a retreat of the slump headwall during the summer months, making them detectable by comparing digital elevation models over time using the volumetric change as an indicator. Despite the availability of many topographic InSAR observations to generate digital elevation models, there is currently no method to map and analyze retrogressive thaw slumps. Here, we present and assess a method to detect and monitor thaw slumps using time-series of elevation models (DEMs), generated from single-pass InSAR observations, which have been acquired across the Arctic at high resolution since 2011 by the TanDEM-X satellite pair. At least three observations over this timespan are available with a spatial resolution of about 12 meter and the height sensitivity of 0.5-2 meter. We first difference the generated digital elevation and detect significant elevation changes taking the uncertainty estimates of each elevation measurement into account. In the implementation of the processing chain we focused on making it as automated as much as possible to be able to cover large areas of the northern hemisphere. This includes detecting common problems with the data and apply appropriate algorithms to obtain DEMs with high accuracy. Additionally we implemented methods to deal with problematic features like wet-snow, vegetation and water bodies. After generating the DEMs we us DEM differencing followed by a blob detection and cluster algorithm to detect active thaw slumps. To improve the accuracy of our method we apply and compare different machine learning methods, namely a simple threshold method, a Random Forest and a Support-Vector-Machine. To estimate the accuracy of our method we use data from past studies as well as a classification based on optical satellite data. The obtained locations of thaw slumps can be used as a starting point to extract important slump properties, like the headwall height and volumetric change, which are currently not available on regional scales. Additionally to the thaw slump detection, we show first results of the thaw slump property extraction for thaw slumps located in Northern Canada (Peel Plateau, Mackenzie River Delta, Banks Island, Ellesmere Island).

elib-URL des Eintrags:https://elib.dlr.de/141229/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Monitoring rapid permafrost thaw using elevation models generated from satellite radar interferometry
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Bernhard, PhilippETH ZürichNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Zwieback, SimonETH ZürichNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Leinss, SilvanETH ZürichNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Hajnsek, IrenaDLR-HR, ETH ZurichNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:3 Dezember 2020
Erschienen in:EGUsphere
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:7348
DOI:10.3929/ethz-b-000453641
Verlag:Copernicus GmbH
Name der Reihe:EGUsphere
Status:veröffentlicht
Stichwörter:permafrost, elevation model, satellite radar interferometry, InSAR
Veranstaltungstitel:EGU General Assembly 2020
Veranstaltungsort:Vienna, Austria
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:4 Mai 2020
Veranstaltungsende:8 Mai 2020
Veranstalter :EGU
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Sicherheitsrelevante Erdbeobachtung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte
Hinterlegt von: Radzuweit, Sibylle
Hinterlegt am:05 Mär 2021 10:13
Letzte Änderung:24 Apr 2024 20:41

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