Annonce postée par : oflores (olivier.flores(a)univ-reunion.fr)
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The person will be recruited as part of the FRAG'ILE (FRAGmentation en milieu
InsuLairE, funding: French Office for Biodiversity) and EDENE (Extinction dynamics of
endemic trees in exotic-dominated ecosystems, funding: French National Research Agency)
research programs, which generally focus on population dynamics of rare and threatened
endemic woody species in Reunion island (Mascarenes, Indian Ocean). After the recent
colonization of the island by humans during the second half of the seventeenth century,
habitat loss, alteration and invasion by exotic species have severely affected population
and range sizes, and increased the extinction risk of many endemic species. Unfortunately,
historical records that document the dynamics of habitat loss and fragmentation at island
scale are rare and disseminated in testimonies from former naturalists and geographers.
However, the existence of aerial photograph campaigns (in black and white, color and
sometimes infrared) starting from the 1950
s provide unprecedented and overlooked information to understand past habitat
trajectories.
The recruited person will be responsible for developing photogrammetry methods to analyze
the evolution of the habitat of threatened endemic woody species over the last seven
decades. The overall objective is to produce time-series of derived metrics to
characterize changes in land cover (classifications) and vegetation structure (canopy
height models) from historical aerial images of Reunion island taken by the French
National Geographic Institute (IGN, see
https://remonterletemps.ign.fr). The candidate is
expected to build a workflow to assemble and georeference individual images and produce
time-series of target metrics. Promising approaches include sensor calibration, dense
matching, deep-learning and 3D reconstruction of point cloud data.
The position requires a dedicated person with strong skills in image processing,
photogrammetry and deep learning.
The production of one scientific publication in an international peer-reviewed journal per
year is expected.
For further details, please see position description here:
https://drive.google.com/file/d/15xRrDfcAW-7OPZLuL6_FeJ7y4UlzH_bo/view?usp=….
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