CaTReS – Canopy traits in remote sensing of floristic and functional vegetation patterns, DFG-Normalverfahren FE 1331/2-1 | CaTReS – Canopy traits in remote sensing of floristic and functional vegetation patterns, DFG-Normalverfahren FE 1331/2-1 – Institut für Geographie
Jordanien - Felskloster Ed Deir (studentischer Fotowettbewerb) Jordanien - Felskloster Ed Deir (studentischer Fotowettbewerb)

CaTReS – Canopy traits in remote sensing of floristic and functional vegetation patterns, DFG-Normalverfahren FE 1331/2-1

DFG FE 1331/2-1

CaTReS

AISA Dual data of the CaTReS study site (RGB – 734, 641, 549 nm)

Funding period: 2013-2016

Project team: Hannes Feilhauer

Maps of vegetation patterns such as spatial variation in floristic composition, plant traits and plant functional types are required in ecology, ecosystem modelling and nature conservation. One frequently applied approach to generate these maps relies on imaging spectroscopy. In this approach, statistical relationships between a vegetation sample and the corresponding canopy reflectance are quantified and subsequently applied onto the imagery. Although several successful examples of such applications exist, fundamental questions regarding the causal relations between vegetation patterns and canopy reflectance are still open. In particular the role of canopy optical traits remains poorly understood. Canopy optical traits determine the reflectance signal of vegetation and include canopy biochemistry, morphological and structural properties. CaTReS aims to test the qualitative and quantitative contribution of these traits to remote sensing of vegetation patterns in a test site in Southern Bavaria.

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