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Asam, Sarah (2014) Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models. Dissertation, Julius-Maximilians-Universität Würzburg.
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Official URL: http://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/10839
| Item URL in elib: | https://elib.dlr.de/95887/ | ||||||||
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| Document Type: | Thesis (Dissertation) | ||||||||
| Title: | Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models | ||||||||
| Authors: |
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| Date: | 2014 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Number of Pages: | 235 | ||||||||
| Status: | Published | ||||||||
| Keywords: | Blattflächenindex; Optische Fernerkundung; Strahlungstransport | ||||||||
| Institution: | Julius-Maximilians-Universität Würzburg | ||||||||
| Department: | Lehrstuhl für Fernerkundung | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Geoscientific remote sensing and GIS methods | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | German Remote Sensing Data Center | ||||||||
| Deposited By: | Wöhrl, Monika | ||||||||
| Deposited On: | 08 Apr 2015 09:30 | ||||||||
| Last Modified: | 25 Jul 2018 08:39 |
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