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Space for Communities: Quantifying Data Requirements for Remote Sensing Based Habitat Modeling

Leutner, Benjamin (2018) Space for Communities: Quantifying Data Requirements for Remote Sensing Based Habitat Modeling. Dissertation, Julius-Maximilians-Universität Würzburg.

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Item URL in elib:https://elib.dlr.de/125735/
Document Type:Thesis (Dissertation)
Title:Space for Communities: Quantifying Data Requirements for Remote Sensing Based Habitat Modeling
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Leutner, Benjaminbenjamin.leutner (at) uni-wuerzburg.deUNSPECIFIED
Date:2018
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:213
Status:Published
Keywords:habitat modeling, LiDAR, hyperspectral, multispectral, data requirements, biodiversity modeling
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:13 Feb 2019 12:58
Last Modified:13 Feb 2019 12:58

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