Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...

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,...

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Main Authors: Bernhard, Philipp, Zwieback, Simon, Leinss, Silvan, Hajnsek, Irena
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2020
Subjects:
Ice
Online Access:https://dx.doi.org/10.3929/ethz-b-000426695
http://hdl.handle.net/20.500.11850/426695
id ftdatacite:10.3929/ethz-b-000426695
record_format openpolar
spelling ftdatacite:10.3929/ethz-b-000426695 2024-04-28T08:10:44+00:00 Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ... Bernhard, Philipp Zwieback, Simon Leinss, Silvan Hajnsek, Irena 2020 application/pdf https://dx.doi.org/10.3929/ethz-b-000426695 http://hdl.handle.net/20.500.11850/426695 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Abrupt thaw Banks island Digital elevation model DEM differencing DEM generation Interferometry Mackenzie river delta Permafrost Remote sensing Retrogressive thaw slumps RTSs Single-pass radar interferometry Synthetic aperture radar SAR Thermokarst article-journal Text ScholarlyArticle Journal Article 2020 ftdatacite https://doi.org/10.3929/ethz-b-000426695 2024-04-02T12:34:54Z 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. Here, we present and assess a method to detect and monitor thaw slumps using time series of elevation models applied on two contrasting study areas in Northern Canada. Our two-step method is tailored to single-pass InSAR observations from the TanDEM-X satellite pair, which have been acquired since 2011. For each acquisition, we derive a digital elevation model and uncertainty estimates. In the first step, we difference digital elevation models and detect the significant elevation changes using a blob-detection algorithm. In the second step, we classify the detections into those due to thaw slumps ... : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13 ... Article in Journal/Newspaper Arctic Banks Island Ice Mackenzie river permafrost Thermokarst DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Abrupt thaw
Banks island
Digital elevation model DEM differencing
DEM generation
Interferometry
Mackenzie river delta
Permafrost
Remote sensing
Retrogressive thaw slumps RTSs
Single-pass radar interferometry
Synthetic aperture radar SAR
Thermokarst
spellingShingle Abrupt thaw
Banks island
Digital elevation model DEM differencing
DEM generation
Interferometry
Mackenzie river delta
Permafrost
Remote sensing
Retrogressive thaw slumps RTSs
Single-pass radar interferometry
Synthetic aperture radar SAR
Thermokarst
Bernhard, Philipp
Zwieback, Simon
Leinss, Silvan
Hajnsek, Irena
Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
topic_facet Abrupt thaw
Banks island
Digital elevation model DEM differencing
DEM generation
Interferometry
Mackenzie river delta
Permafrost
Remote sensing
Retrogressive thaw slumps RTSs
Single-pass radar interferometry
Synthetic aperture radar SAR
Thermokarst
description 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. Here, we present and assess a method to detect and monitor thaw slumps using time series of elevation models applied on two contrasting study areas in Northern Canada. Our two-step method is tailored to single-pass InSAR observations from the TanDEM-X satellite pair, which have been acquired since 2011. For each acquisition, we derive a digital elevation model and uncertainty estimates. In the first step, we difference digital elevation models and detect the significant elevation changes using a blob-detection algorithm. In the second step, we classify the detections into those due to thaw slumps ... : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13 ...
format Article in Journal/Newspaper
author Bernhard, Philipp
Zwieback, Simon
Leinss, Silvan
Hajnsek, Irena
author_facet Bernhard, Philipp
Zwieback, Simon
Leinss, Silvan
Hajnsek, Irena
author_sort Bernhard, Philipp
title Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
title_short Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
title_full Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
title_fullStr Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
title_full_unstemmed Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations ...
title_sort mapping retrogressive thaw slumps using single-pass tandem-x observations ...
publisher ETH Zurich
publishDate 2020
url https://dx.doi.org/10.3929/ethz-b-000426695
http://hdl.handle.net/20.500.11850/426695
genre Arctic
Banks Island
Ice
Mackenzie river
permafrost
Thermokarst
genre_facet Arctic
Banks Island
Ice
Mackenzie river
permafrost
Thermokarst
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.3929/ethz-b-000426695
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