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Modelling Forest - α Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing

Leutner, Benjamin and Reineking, Björn and Müller, Jörg and Bachmann, Martin and Beierkuhnlein, Carl and Dech, Stefan and Wegmann, Martin (2012) Modelling Forest - α Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing. Remote Sensing, 4 (9), pp. 2818-2845. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs4092818

Full text not available from this repository.

Official URL: http://www.mdpi.com/2072-4292/4/9/2818


Item URL in elib:https://elib.dlr.de/78733/
Document Type:Article
Title:Modelling Forest - α Diversity and Floristic Composition — On the Added Value of LiDAR plus Hyperspectral Remote Sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Leutner, Benjaminbenjamin.leutner (at) uni-wuerzburg.deUNSPECIFIED
Reineking, BjörnUniversität BayreuthUNSPECIFIED
Müller, JörgNationalparkverwaltung Bayerischer WaldUNSPECIFIED
Bachmann, Martinmartin.bachmann (at) dlr.deUNSPECIFIED
Beierkuhnlein, CarlUniversität BayreuthUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Date:21 September 2012
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI :10.3390/rs4092818
Page Range:pp. 2818-2845
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Status:Published
Keywords:Bavarian Forest, Germany, full-waveform LiDAR, HyMap, random forest, NMDS
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: Kübert, Carina
Deposited On:28 Nov 2012 10:40
Last Modified:14 Dec 2019 04:25

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