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7 results on '"Koetz, Benjamin"'

1. COIVD-19 Impact Monitoring for Agriculutre

Author

Koetz, Benjamin, primary, Doorn, Bradley, additional, Sobue, Shin-ichi, additional, Becker-Reshef, Inbal, additional, Defourny, Pierre, additional, Bontemps, Sophie, additional, Malcorps, Philippe, additional, Houdmont, Pierre, additional, Barker, Brian, additional, Justice, Christina, additional, Kerner, Hannah, additional, Tseng, Gabriel, additional, Oyoshi, Kei, additional, Sasaki, Yoshinobu, additional, Nakamoto, Keishiro, additional, and Veerman, Olaf, additional

Published
2021
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3. High Spatio- Temporal Resolution Land Surface Temperature Mission - a Copernicus Candidate Mission in Support of Agricultural Monitoring

Author

Koetz, Benjamin, primary, Bastiaanssen, Wim, additional, Berger, Michael, additional, Defourney, Pierre, additional, Del Bello, Umberto, additional, Drusch, Matthias, additional, Drinkwater, Mark, additional, Duca, Ricardo, additional, Fernandez, Valerie, additional, Ghent, Darren, additional, Guzinski, Radoslaw, additional, Hoogeveen, Jippe, additional, Hook, Simon, additional, Lagouarde, Jean-Pierre, additional, Lemoine, Guido, additional, Manolis, Ilias, additional, Martimort, Philippe, additional, Masek, Jeff, additional, Massart, Michel, additional, Notarnicola, Claudia, additional, Sobrino, Jose, additional, and Udelhoven, Thomas, additional

Published
2018
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7. Inversion of Combined Radiative Transfer Models for Imaging Spectrometer and LIDAR Data

Author

Felix Morsdorf, Kenneth J. Ranson, Klaus I Itten, Britta Allgöwer, B. Koetz, Guoqing Sun, Mathias Kneubühler, University of Zurich, and Koetz, Benjamin

Subjects
Canopy, Tree canopy, Spectrometer, Planetary boundary layer, 1900 General Earth and Planetary Sciences, Imaging spectrometer, 10122 Institute of Geography, Lidar, 1706 Computer Science Applications, Radiative transfer, Environmental science, 910 Geography & travel, Atmospheric optics, Remote sensing
Abstract

The spectral information domain provided by imaging spectrometers contains information about the biochemical composition of a vegetation canopy such as foliage chlorophyll and water content. The spectral information content also enables indirect assessment to the biophysical parameters LAI and fractional cover. On the other hand, the information domain observed by LIDAR provides direct measurements of the vertical and horizontal canopy structure describing the canopy height and the vertical distribution of canopy elements. The leaf optical properties, which are directly related to the foliage biochemistry, scale to the canopy as function of canopy structure and spatial arrangement of canopy elements. Further, the spatial heterogeneity and canopy structure dominate the radiative transfer especially within forest stands. Consequently the LIDAR signal, e.g. recorded as full waveform, can improve the accuracy and robustness of forest canopy parameter retrieval by reducing uncertainties related to the canopy structure. On the other hand the accurate interpretation of the LIDAR signal depends on the spectral properties of canopy elements as well as the background. The two sensors and their different information domains are thus mutually dependent but also complement each other. A synergistic exploitation of the information domains observed by Imaging Spectrometry and LIDAR based on radiative transfer modeling will therefore provide a new approach to optimize the retrieval of forest foliage biochemical composition and the canopy structure.

Published
2006

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