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Training on Remote Sensing for Ecosystem modElling

Training on Remote Sensing for Ecosystem modElling

Objective

Understanding and predicting ecosystem functions remains a major challenge in evaluating ecosystem services and biophysical controls on biosphere-atmosphere interactions, as current dynamic vegetation models are still not capable of grasping the spatial and temporal variability in ecosystem processes. Remote sensing (RS) data at a range of scales from proximal observations to global extent sampling can detect essential changes in plant traits (PTs), biodiversity and ecosystem functioning, providing a method for scaling-up. However there are still methodological and technical constraints that hamper a systematic incorporation of RS in ecosystem models, including scalability and multi-source data integration issues. TRuStEE will train a new generation of scientists with complementary and interdisciplinary skills in ecosystem modelling, plant physiology, RS technologies and big data analysis, addressing the specific objectives: 1) to identify essential biodiversity variables (EBVs) and the link with PTs and ecosystem functional properties (EFPs), inferable from RS, 2) to investigate a completely new avenue for assessing vegetation photosynthetic efficiency from RS measurements of canopy fluorescence, 3) to assimilate diverse RS 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 EO 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. The cooperation program proposed will link academic and non-academic participants to allow the circulation of ESRs giving them the opportunity to become new research and innovation leaders in the most cutting edge sophisticated technologies in the field, increasing their employability in both academic and private sectors.

Coordinator

UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA

Address

Piazza Dell'Ateneo Nuovo 1
20126 Milano

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 774 183,96

Participants (9)

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THE UNIVERSITY OF EXETER

United Kingdom

EU Contribution

€ 273 287,88

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 247 872,96

UNIVERSITEIT TWENTE

Netherlands

EU Contribution

€ 255 374,28

FONDAZIONE EDMUND MACH

Italy

EU Contribution

€ 258 061,32

AEROVISION BV

Netherlands

EU Contribution

€ 255 374,28

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV

Germany

EU Contribution

€ 498 432,96

VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.

Belgium

EU Contribution

€ 250 560

FORSCHUNGSZENTRUM JULICH GMBH

Germany

EU Contribution

€ 249 216,48

QUESTUAV LTD

United Kingdom

Partners (3)

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THE UNIVERSITY OF EDINBURGH

TRILOGIS SRL

CS Systèmes d'Information

Project information

Grant agreement ID: 721995

Status

Ongoing project

  • Start date

    1 October 2016

  • End date

    30 September 2020

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 062 364,12

  • EU contribution

    € 3 062 364,12

Coordinated by:

UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA

Italy