% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Hortobgyi:830013,
author = {Hortobágyi, Borbála and Corenblit, Dov and Vautier,
Franck and Steiger, Johannes and Roussel, Erwan and Burkart,
Andreas and Peiry, Jean-Luc},
title = {{A} multi-scale approach of fluvial biogeomorphic dynamics
using photogrammetry},
journal = {Journal of environmental management},
volume = {202},
number = {Part 2},
issn = {0301-4797},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2017-03615},
pages = {348-362},
year = {2017},
abstract = {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.},
cin = {IBG-2},
ddc = {333.7},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000409294000003},
doi = {10.1016/j.jenvman.2016.08.069},
url = {https://juser.fz-juelich.de/record/830013},
}