Structure · dataset · 2025
Dataset for Quantifying Retrogressive Thaw Slump Mass Wasting and Carbon Mobilisation on the Qinghai-Tibet Plateau Using Multi-Modal Remote Sensing
Listed in ETH Zürich Research Collection
Retrogressive Thaw Slumps (RTS) are slope failures triggered by permafrost thaw, occurring in ground-ice rich regions in the Arctic and on the Qinghai-Tibet Plateau (QTP).
Description
A strong warming trend has amplified RTS activity on the QTP in recent years. Although the region currently acts as a carbon sink, its 40 % permafrost-covered area holds substantial soil organic carbon (SOC) stocks.
Intensifying thaw-driven mass wasting may transform the QTP into a net carbon source by mobilising previously frozen SOC and increasing decomposition. Despite this, regional remote sensing studies for quantifying RTS mass wasting, including material erosion volumes and SOC mobilisation, are lacking. Analysing time-series data from digital elevation models (DEM) enables direct observation of RTS activity by measuring changes in active area, volume of eroded material, and the overall magnitude of surface change.
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However, most available DEM sources lack sufficient spatial resolution and temporal frequency for comprehensive RTS monitoring. In contrast, optical data provides higher spatial resolution and more frequent observations, but lacks elevation information. We evaluated the mass wasting of RTS throughout the QTP from 2011 to 2020 by combining DEMs from bistatic Interferometric Synthetic Aperture Radar (InSAR) observations of the TanDEM-X mission with annual RTS inventories derived from high-resolution optical satellite images and geophysical soil property data to estimate erosion volume, ground ice loss, and SOC mobilisation.
Although the current impact of RTS is relatively modest, affecting only 0.006 % of the total permafrost area and contributing less than 1 % to the regional carbon budget, the increasing rates of RTS activity suggest that this phenomenon could become more significant in the future.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/735734 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-b-000735734 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Image 65% · Physical geography and environmental geoscience 70% · Satellite remote sensing 65%
Provenance · 1 source records, 21 field assertions
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