Objective
Research objectives and content
Remote sensing techniques are widely recognised as a useful tool for estimating vegetation biophysical characteristics and more generally monitoring canopies. Radiative transfer models are intensively used to describe vegetation processes and to interprete remote sensing data. The more recently developed explicitly account for the detailed canopy structure; these models lead to more accurate results but require as input a 3D description of canopy structure as realistic as possible. New satellites will sample the directional variation of the reflectance over a short time period during which canopy could possibly change. This temporal variation represents by itself a very interesting source of information and must be integrated in the interpretation algorithms.
This study aims at developing and evaluating a procedure that interpretes radiometric data using a data base made of 3D dynamic models of canopy structure and the corresponding simulated reflectance field. A parametric model of maize canopy architecture has been developed that mimics the time course of the vegetation and allows to simulate very realistic canopies using mainly plant vigor and its phenological stage as input. Radiatif transfer models will then be used to simulate the corresponding canopy reflectance. Canopy characteristics (vigor and state of development) will then be derived from the measuared temporal, directional and spectral reflectance, by comparison with the reflectance that was simulated previously with the data base. This study will eventually provide a more efficient way of using satellite data to monitor the vegetation. Training content (objective, benefit and expected impact)
This grant will allow the completion of a PhD in remote sensing. It will provide training in mathematics, physics, biology and computer techniques. Links with industry / industrial relevance (22)
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- engineering and technology environmental engineering remote sensing
- natural sciences mathematics
- agricultural sciences agriculture, forestry, and fisheries agriculture grains and oilseeds cereals
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
84914 AVIGNON
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.