High-resolution topography project on the rock walls of the Mont-Blanc massif to reconstruct volume change

Abstract

<p>Before modern remote sensing techniques, quantifying rock wall retreat due to rockfall events in the high alpine environment was limited to low-frequency post-event measurements for high-magnitude events. LiDAR and SFM now provide precise and accurate 3D models for computing 3D volume changes over time. Otherwise, mid- and low-sized events can remain unobserved due to the remoteness of the rockwalls and the lack of remnant evidence due to the rapid sequestration of ice in surrounding valley and cirque glaciers. To extend rockfall event measurement an initial measurement (t0) is necessary. The Mont-Blanc Massif (MBM, European Alps) High Resolution Topography Project is currently completing high-precision 3D models in the MBM using ground-based and aerial LiDAR, and drone-based structure-from-motion (SFM). In 2021, we began acquisition with initial measurements of 11 major sectors of the massif, representing about 80 km<sup>2</sup> of rock and ice slopes, between 1700m - 4810m in elevation. By choosing a study area with robust existent photographic and film archives, such as the MBM, it is possible to extend 3D models back in time for comparison with current datasets. Despite existent high-quality image archives, SFM processing is more challenging and error-prone than from contemporary images due to a lack of metadata, such as camera and lens type, precise dates of images, and the general degradation of the original material.  Despite these limitations, the use of historical-image-based SFM in combination with modern LiDAR data can allow the reconstruction of significant slopes of the MBM over several decades in order to i) obtain estimates of erosion rates, ii) to document rockfall events, and iii) to quantify the extent change and volume loss of hanging glaciers and ice aprons. We thus explore geomorphic processes in the high mountain environment in context of warming climate, as well as the limits of input data (image sets) in terms of practical output resolution.</p>