Abstract

Mountain slopes in periglacial environments are affected by frost- and gravity-driven processes that shape the landscape. Both rock glaciers and rockslides have been intensively inventoried worldwide. Although most inventories are traditionally based on morphologic criteria, kinematic approaches based on satellite remote sensing have more recently been used to identify moving landforms at the regional scale. In this study, we developed simplified Interferometric Synthetic Aperture Radar (InSAR) products to inventory ground velocity in a region in Northern Norway covering approximately 7,500 km2. We used a multiple temporal baseline InSAR stacking procedure based on 2015–2019 ascending and descending Sentinel-1 images to take advantage of a large set of interferograms and exploit different detection capabilities. First, moving areas are classified according to six velocity brackets, and morphologically associated to six landform types (rock glaciers, rockslides, glaciers/moraines, talus/scree deposits, solifluction/cryoturbation and composite landforms). The kinematic inventory shows that the velocity ranges and spatial distribution of the different types of slope processes vary greatly within the study area. Second, we exploit InSAR to update pre-existing inventories of rock glaciers and rockslides in the region. Landform delineations and divisions are refined, and newly detected landforms (54 rock glaciers and 20 rockslides) are incorporated into the databases. The updated inventories consist of 414 rock glacier units within 340 single- or multi-unit(s) systems and 117 rockslides. A kinematic attribute assigned to each inventoried landform documents the order of magnitude of the creep rate. Finally, we show that topo-climatic variables influence the spatial distribution of the rock glaciers. Their mean elevation increases toward the continental interior with a dominance of relict landforms close to the land-sea margin and an increased occurrence of active landforms further inland. Both rock glaciers and rockslides are mostly located on west-facing slopes and in areas characterised by strongly foliated rocks, which suggests the influence of geological preconditioning factors. The study demonstrates the value of semi-quantitative InSAR products to characterise kinematic information at large scale and exploit the results for periglacial research. It highlights the complementarity of both kinematic and morphologic approaches for inventorying slope processes.

Highlights

  • Mountainous regions are affected by a wide range of periglacial processes leading to slope movements (Gruber and Haeberli, 2009; Jaboyedoff et al, 2013; Ballantyne, 2018)

  • The multiple temporal baseline Interferometric Synthetic Aperture Radar (InSAR) stacking method led to the identification of moving pixels with velocities >0.3 cm/yr

  • We developed semi-quantitative classified InSAR products to summarize kinematic information about slope movements and investigated periglacial processes in a mountainous area of Northern Norway

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Summary

Introduction

Mountainous regions are affected by a wide range of periglacial processes leading to slope movements (Gruber and Haeberli, 2009; Jaboyedoff et al, 2013; Ballantyne, 2018). Gravity induces landforms creeping downslope, such as rock glaciers and rockslides. They have specific morphologic characteristics and variable creep rates depending on the material they convey (rock, unconsolidated sediments, ice) and their environmental controlling factors. In mountainous areas where large topographic variability and site-specific conditions determine the local occurrence of permafrost, rock glacier inventories are valuable to complement global kilometric-resolution permafrost products (Obu et al, 2019). Rock glacier kinematics are considered as an indicator of climate change due to the increasing evidence of relations between creep rate and ground temperature (Delaloye et al, 2010; Kääb et al, 2021). The comprehensive inventory of rock glaciers within specific regions is the first required step to further monitor their long-term trends in a climate-oriented perspective (RGIK, 2021a)

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