Application of archival aerial photogrammetry to quantify climate forcing of alpine landscapes
journal contributionposted on 2015-08-19, 09:32 authored by Natan Micheletti, Stuart N. Lane, Jim Chandler
Recent and future climate change may lead to landscape changes in geomorphic processes and process rates. Such modifications are likely to be widely distributed, making their direct measurement difficult and there are almost no such measurements at decadal intervals. Aerial imagery has been acquired by many national agencies since the 1950s and significant archives remain. Unlocking the information from these data sources is important because their timescale may inform significant unresolved hypotheses regarding the impact of rapid climate change on Alpine environments. However, such photogrammetric applications are challenging because of topographic complexity (including occlusions and large elevation ranges) and variations in image texture. A complete workflow is described from raw data to the treatment and interpretation of results. This is applied to imagery of Val d'Héréns, Switzerland, a landscape containing an assemblage of glacial, periglacial, hillslope and fluvial landforms across a height range of 1800 to 3600 m from the 1960s to the present. These changes reveal important characteristics of landscape scale erosion and deposition at the decadal scale.
This research was supported by the Herbette Foundation of the University of Lausanne, the Vaud Canton and the Valais Canton.
- Architecture, Building and Civil Engineering
Published inPHOTOGRAMMETRIC RECORD
Pages143 - 165 (23)
CitationMICHELETTI, N., LANE, S.N. and CHANDLER, J.H., 2015. Application of archival aerial photogrammetry to quantify climate forcing of alpine landscapes. Photogrammetric Record, 30 (150), pp. 143 - 165.
PublisherWiley (Article © The authors / Journal © The Remote Sensing and Photogrammetry Society and John Wiley and Sons Ltd.)
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is the peer reviewed version of the article, which has been published in final form at http://dx.doi.org/10.1111/phor.12099. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.