VEGHEALTH

Remote Estimating Vegetation Health

Coordinatore	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY    more  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 3097 Fax: +972 4 823 2958
Nazionalità Coordinatore	Israel [IL]
Totale costo	256˙148 €
EC contributo	256˙148 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2013-IIF
Funding Scheme	MC-IIF
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-03-01   -   2016-02-29

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY  Organization address address: TECHNION CITY - SENATE BUILDING city: HAIFA postcode: 32000 contact info Titolo: Mr. Nome: Mark Cognome: Davison Email: send email Telefono: +972 4 829 3097 Fax: +972 4 823 2958	IL (HAIFA)	coordinator	256˙148.40

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 Obiettivo del progetto (Objective)

'With the current trends of climate change associated with human-induced changes in the amount and composition of atmospheric greenhouse gases, never before has it been so important to understand the spatio-temporal patterns of carbon sequestration through vegetation productivity. Quantifying pigment content, which is a main factor influencing the amount of radiation absorbed by photosynthetically active vegetation and a very direct expression of the photosynthetic apparatus of the plant kingdom, strongly relating to productivity, is one of the main scientific component of vegetation health monitoring. Developing methods to quantify pigment content and composition from remotely sensed data would clearly provide a capability that could advance understanding of photosynthetic processes and insight into detection and monitoring of vegetation condition - health and vigor. Monitoring plant physiological status via measuring reflectance offers a number of distinct advantages over traditional destructive approaches. The most important are simplicity, sensitivity, reliability a high throughput and global coverage. Overall goal of the project is to develop a prototype 'Satellite-based Vegetation Pigment Product' that will accurately estimate pigment content and composition in vegetation and will be easy to implement. Specifically, we will (a) develop non-destructive techniques for estimating pigment contents at the leaf level, for calibration and validation of satellite-based retrievals; (b) devise remote sensing techniques for estimating the total pigment content and composition at the canopy level; and (c) apply developed techniques to the satellite data and assess uncertainties of the pigment content estimation. The European Space Agency is developing new missions called Sentinels specifically for the operational needs of the “Global Monitoring for Environment and Security” program. Models developed recently in my lab, which are able accurate determination of main vegetat'