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TRuStEE SIGNED

Training on Remote Sensing for Ecosystem modElling

Total Cost €

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EC-Contrib. €

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Partnership

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 TRuStEE project word cloud

Explore the words cloud of the TRuStEE project. It provides you a very rough idea of what is the project "TRuStEE" about.

leaders    understanding    biodiversity    rs    observations    atmosphere    scales    scalability    technologies    fluorescence    efficiency    flex    variables    skills    satellite    gedi    expertise    complementary    scaling    incorporation    functions    cooperation    trustee    upscaling    internationally    controls    functional    completely    global    opportunity    varying    integration    streams    source    models    data    photosynthetic    sentinels    dynamic    ecosystem    train    biosphere    inferable    traits    sophisticated    academic    sampling    big    temporal    grasping    detect    nasa    private    cutting    services    vegetation    assimilate    canopy    constraints    stage    avenue    sensing    pts    companies    generation    interdisciplinary    variability    biophysical    network    hamper    diverse    assessing    missions    remote    circulation    giving    functioning    employability    physiology    ebvs    edge    methodological    esa    scientists    proximal    esrs    plant    predicting    eo    link    spatial    benefit    systematic    innovation    efps    sectors    interactions    resolution   

Project "TRuStEE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA 

Organization address
address: PIAZZA DELL'ATENEO NUOVO 1
city: MILANO
postcode: 20126
website: www.unimib.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://www.trusteenetwork.eu
 Total cost 3˙062˙364 €
 EC max contribution 3˙062˙364 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2016
 Funding Scheme MSCA-ITN-ETN
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA IT (MILANO) coordinator 774˙183.00
2    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 498˙432.00
3    THE UNIVERSITY OF EXETER UK (EXETER) participant 273˙287.00
4    FONDAZIONE EDMUND MACH IT (SAN MICHELE ALL'ADIGE) participant 258˙061.00
5    AEROVISION BV NL (AMERSFOORT) participant 255˙374.00
6    UNIVERSITEIT TWENTE NL (ENSCHEDE) participant 255˙374.00
7    VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V. BE (MOL) participant 250˙560.00
8    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) participant 249˙216.00
9    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 247˙872.00
10    QUESTUAV LTD UK (AMBLE) participant 0.00
11    CS Systèmes d'Information FR (Le Plessis Robinson) partner 0.00
12    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) partner 0.00
13    TRILOGIS SRL IT (TRENTO) partner 0.00

Map

 Project 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.

 Deliverables

List of deliverables.
Open source softwares for the retrieval of PTs and EFPs from multi-satellite and hyperspectral data Demonstrators, pilots, prototypes 2020-03-11 14:35:10
Review of up-scaling techniques to produce maps of PTs, EBVs and EFPs from remote sensing data Documents, reports 2019-10-15 10:41:17
Open source softwares for the extraction of EFPs from FLUXNET data Demonstrators, pilots, prototypes 2019-10-15 10:41:17
Procedure for the in-flight definition of the flight plan for multi-rotor UAV Demonstrators, pilots, prototypes 2019-10-15 10:41:17
Standardized protocol for field data acquisition Documents, reports 2019-10-15 10:41:17
Standardized protocol for UAV data acquisition Documents, reports 2019-10-15 10:41:17
Report of the current and foreseen satellite data available for the proposed methodology Documents, reports 2019-10-15 10:41:17
Report on progress of the training programme Documents, reports 2019-10-15 10:41:17
Presentation and demonstration to open science events Other 2019-10-15 10:41:17
Reports on ESR research training activities Documents, reports 2019-10-15 10:41:17
Report on the relationships between PT and EFPs. Evaluation of the uncertainty and identification of key EFPs for ecosystem model parameterization Documents, reports 2019-10-15 10:41:17
Review of PTs, EBVs and EFPs retrievable from RS Documents, reports 2019-10-15 10:41:17
Publication of research results Documents, reports 2019-10-15 10:41:17
Presentations at National Meetings by the network members Other 2019-10-15 10:41:17
Supervisory Board of the network Documents, reports 2019-10-15 10:41:17
Project newsletter sent every two months Other 2019-10-15 10:41:17
Advertising for ESR recruitment Other 2019-10-15 10:41:16
Project website Websites, patent fillings, videos etc. 2019-10-15 10:41:16
Model for the retrieval of PTs, EFPs and EBVs from satellite data assimilation techniques Demonstrators, pilots, prototypes 2019-10-15 10:41:17

Take a look to the deliverables list in detail:  detailed list of TRuStEE deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Xuanlong Ma, Miguel D. Mahecha, Mirco Migliavacca, Fons van der Plas, Raquel Benavides, Sophia Ratcliffe, Jens Kattge, Ronny Richter, Talie Musavi, Lander Baeten, Ionut Barnoaiea, Friedrich J. Bohn, Olivier Bouriaud, Filippo Bussotti, Andrea Coppi, Timo Domisch, Andreas Huth, Bogdan Jaroszewicz, Julia Joswig, Daniel E. Pabon-Moreno, Dario Papale, Federico Selvi, Gaia Vaglio Laurin, Fernando Vallad
Inferring plant functional diversity from space: the potential of Sentinel-2
published pages: 111368, ISSN: 0034-4257, DOI: 10.1016/j.rse.2019.111368
Remote Sensing of Environment 233 2019-10-15
2018 Jürgen Knauer, Tarek S. El-Madany, Sönke Zaehle, Mirco Migliavacca
Bigleaf—An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data
published pages: e0201114, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0201114
PLOS ONE 13/8 2019-10-15
2018 Thomas Wutzler, Antje Lucas-Moffat, Mirco Migliavacca, Jürgen Knauer, Kerstin Sickel, Ladislav Šigut, Olaf Menzer, Markus Reichstein
Basic and extensible post-processing of eddy covariance flux data with REddyProc
published pages: 5015-5030, ISSN: 1726-4189, DOI: 10.5194/bg-15-5015-2018
Biogeosciences 15/16 2019-10-15

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