A multi-scale approach of fluvial biogeomorphic dynamics using photogrammetry.
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.
Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France. Electronic address: borbala.hortobagyi@univ-bpclermont.fr.
Borbála
B
Hortobágyi
Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France.
Dov
D
Corenblit
Université Clermont Auvergne, Université Blaise Pascal, Maison des Sciences de l'Homme, BP 10448, 63000, Clermont-Ferrand, France; CNRS, USR 3550, MSH, 63057, Clermont-Ferrand, France.
Franck
F
Vautier
Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France.
Johannes
J
Steiger
Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France.
Erwan
E
Roussel
Forschungszentrum Jülich, Institute of Bio- and Geosciences, IBG-2: Plant Sciences, 52428, Jülich, Germany.
Andreas
A
Burkart
Université Clermont Auvergne, Université Blaise Pascal, GEOLAB, BP 10448, 63000, Clermont-Ferrand, France; CNRS, UMR 6042, GEOLAB - Laboratoire de géographie physique et environnementale, 63057, Clermont-Ferrand, France.
Jean-Luc
JL
Peiry
D017753:Ecosystem; D010780:Photogrammetry; D045483:Rivers
Fluvial biogeomorphologic feedbacks; Fluvial landforms; Multi-scale analysis; Riparian vegetation; Stereophotogrammetry; Structure from motion