elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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.

Full text not available from this repository.


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 AuthorsAuthor's ORCID iDORCID Put Code
Leutner, BenjaminUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2018
Refereed publication:No
Open Access: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 - 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:13 Feb 2019 12:58
Last Modified:13 Feb 2019 12:58

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.