Benjamin Koetz

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A terrestrial laser scanner (TLS) was used to measure canopy directional gap fraction distribution in forest stands in the Swiss National Park, eastern Switzerland. A scanner model was derived to determine the expected number of laser shots in all directions, and these data were compared with the measured number of laser hits to determine directional gap(More)
Leaf area index (LAI) is a key variable for the understanding of several eco-physiological processes within a vegetation canopy. The LAI could thus provide vital information for the management of the environment and agricultural practices when estimated continuously over time and space thanks to remote sensing sensors. This study proposed a method to(More)
Forest fire management practices are highly dependent on the proper monitoring of the spatial distribution of the natural andman-made fuel complexes at landscape level. Spatial patterns of fuel types aswell as the three-dimensional structure and state of the vegetation are essential for the assessment and prediction of forest fire risk and fire behaviour. A(More)
The OLIVE (On Line Interactive Validation Exercise) platform is dedicated to the validation of global biophysical products such as LAI (Leaf Area Index) and FAPAR (Fraction of Absorbed Photosynthetically Active Radiation). It was developed under the framework of the CEOS (Committee on Earth Observation Satellites) Land Product Validation (LPV) sub-group.(More)
1 CESBIO-UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France; E-Mails: marcela.arias@cesbio.cnes.fr (M.A.); tardyb@cesbio.cnes.fr (B.T.); olivier.hagolle@cnes.fr (O.H.); silvia.valero@cesbio.cnes.fr (S.V.); morind@cesbio.cnes.fr (D.M.); gerard.dedieu@cesbio.cnes.f (G.D.) 2 Earth and Life Institute, Université Catholique de Louvain, 2 Croix du(More)
We evaluate the potential of deriving a vegetation leaf area index (LAI) from small footprint airborne laser scanning data. Based on findings from large area histograms of discrete laser returns for two contrasting plots, LAI is estimated from the fraction of first to last and single returns inside the canopy. The canopy returns are classified using(More)
Directional effects in remotely sensed reflectance data can influence the retrieval of plant biophysical and biochemical estimates. Previous studies have demonstrated that directional measurements contain added information that may increase the accuracy of estimated plant structural parameters. Because accurate biochemistry mapping is linked to vegetation(More)
Both Imaging Spectrometry and LIDAR have been already investigated as independent data sources to describe and quantify forests properties. While Imaging Spectrometry provides information on the biochemical and biophysical properties of the canopy, LIDAR resolves the spatial and vertical distribution of the canopy structure (1, 2). The presented(More)