[RS-ecology] PhD positions in remote sensing and ecosystem modelling
Martin Wegmann
martin.wegmann at uni-wuerzburg.de
Tue Dec 13 13:15:18 CET 2016
fyi
Twelve PhD positions are offered in the frame of TRuStEE – Training on
Remote Sensing for Ecosystem modelling, a Marie Sklodowska-Curie
Innovative Training Network Action. This project aims to capacitate the
next generation of scientists to understand and deal with the increasing
pressure of environmental change on ecosystem functioning and
land-atmosphere interactions. Specifically, TRuStEE will train a new
generation of scientists with complementary and interdisciplinary skills
in ecosystem modelling, plant physiology, remote sensing technologies
and big data analysis, addressing the specific objectives: 1) to
identify essential biodiversity variables (EBVs) and the link with plant
traits (PTs) and ecosystem functional properties (EFPs), inferable from
remote sensing, 2) to investigate a completely new avenue for assessing
vegetation photosynthetic efficiency from remote sensing measurements of
canopy fluorescence, 3) to assimilate diverse remote sensing data
streams with varying spatial and temporal resolution in dynamic
ecosystem models and 4) to exploit new satellite missions (e.g.
ESA-FLEX, ESA-Sentinels, NASA-GEDI) and Earth Observation products for
the upscaling of PTs, EBVs and EFPs. The early stage researchers (ESRs)
involved will strongly benefit from the network of internationally
recognized scientists and private companies with relevant expertise in
these topics through training courses, summer schools and secondments.
http://ltda-disat.it/?page_id=944
--
Dr. Martin Wegmann
University of Wuerzburg
Institute of Geography
Department of Remote Sensing
Remote Sensing and Biodiversity Research
Am Hubland
Oswald Kuelpe Weg 86
97074 Wuerzburg, Germany
German Aerospace Center (DLR)
German Remote Sensing Data Center (DFD)
Phone: +49-(0)931-31 83446
Email: martin.wegmann at uni-wuerzburg.de
url: http://www.geographie.uni-wuerzburg.de/en/fernerkundung_neu/startseite/
url: http://www.dlr.de/caf
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