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Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models

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/
Document Type:Thesis (Dissertation)
Title:Potential of high resolution remote sensing data for leaf area index derivation using statistical and physical models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Asam, Sarahsarah.asam (at) posteo.dehttps://orcid.org/0000-0002-7302-6813
Date:2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science: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 - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
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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