[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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