Fiche du document
novembre 2017
- handle: 10670/1.ze0xfs
- hal: hal-01426679
- doi: 10.1016/j.jenvman.2016.08.069
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jenvman.2016.08.069
Mots-clés
Multi-scale analysis Structure from motion Stereophotogrammetry Fluvial landforms Riparian vegetation Fluvial biogeomorphologic feedbacksSujets proches
Photographic measurements StereophotogrammetryCiter ce document
Borbála Hortobágyi et al., « A multi-scale approach of fluvial biogeomorphic dynamics using photogrammetry », HALSHS : archive ouverte en Sciences de l’Homme et de la Société, ID : 10.1016/j.jenvman.2016.08.069
Métriques
Partage / Export
Résumé
Over the last twenty years, significant technical advances turned photogrammetry into a relevant tool for the integrated analysis of biogeomorphic cross-scale interactions within vegetated fluvial corridors, which will largely contribute to the development and improvement of self-sustainable river restoration efforts. Here, we propose a cost-effective, easily reproducible approach based on stereophotogrammetry and Structure from Motion (SfM) technique to study feedbacks between fluvial geomorphology and riparian vegetation at different nested spatiotemporal scales. We combined different photogrammetric methods and thus were able to investigate biogeomorphic feedbacks at all three spatial scales (i.e., corridor, alluvial bar and micro-site) and at three different temporal scales, i.e., present, recent past and long term evolution on a diversified riparian landscape mosaic. We evaluate the performance and the limits of photogrammetric methods by targeting a set of fundamental parameters necessary to study biogeomorphic feedbacks at each of the three nested spatial scales and, when possible, propose appropriate solutions. The RMSE varies between 0.01 and 2 m depending on spatial scale and photogrammetric methods. Despite some remaining difficulties to properly apply them with current technologies under all circumstances in fluvial biogeomorphic studies, e.g. the detection of vegetation density or landform topography under a dense vegetation canopy, we suggest that photogrammetry is a promising instrument for the quantification of biogeomorphic feedbacks at nested spatial scales within river systems and for developing appropriate river management tools and strategies.