| Photogrammetric Reconstruction and Multi-temporal comparison of Brenva Glacier (Italy) from Archive Photos |
| Paper ID : 1188-GEOSPATIAL (R4) |
| Authors: |
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Arsalan Malekian *1, Davide Fugazza2, Marco Scaioni3 1Politecnico di Milano, Lecco Campus, via G. Previati 1/c, 23900 Lecco, Italy 2Università degli Studi di Milano, Department of environmental science and policy, Via Celoria 2, Milano, Italy 3Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano via Ponzio 31, 20133 Milano, Italy |
| Abstract: |
| As glaciers are severely affected by climate change, it is crucial to monitor their morphological evolution by detection of ice-mass variation. Historical aerial images may provide valuable information to this purpose combined with up-to-date photogrammetric techniques, such as Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) dense matching. Point clouds of reconstructed 3D surface of glaciers may be used to detect thickness change and height differences over time. This task can be accomplished by applying suitable techniques for computing distances between each pair of point clouds. Here a case study consisting of a group of Alpine glaciers in the Mount Blanc massif in the Italian Alps was selected. seven data sets of digitized analogue aerial images provided by National Geographic and Forestry Institute of France (IGNF) have been selected, downloaded, and used for the photogrammetric processing. These data sets cover a time span of approximately 40 years from 1967 to 2006. Since the change of ice thickness of these glaciers was almost negligible until the mid-1990s, this study revealed an increasing reduction rate at the beginning of 21st century. This paper describes the adopted methodological approach for photogrammetric reconstruction, quality assessment and point cloud comparison. One of the two major glaciers in the considered group (Brenva Glacier) was focused as case study. |
| Keywords: |
| 3D reconstruction, Photogrammetry, Change detection, Glacier Monitoring, Archive Aerial images |
| Status : Paper Accepted (Oral Presentation) |
