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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. DOI: 10.3390/rs4092818.

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


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 Authors
Leutner, Benjaminbenjamin.leutner@uni-wuerzburg.de
Reineking, BjörnUniversität Bayreuth
Müller, JörgNationalparkverwaltung Bayerischer Wald
Bachmann, Martinmartin.bachmann@dlr.de
Beierkuhnlein, CarlUniversität Bayreuth
Dech, Stefanstefan.dech@dlr.de
Wegmann, Martinmartin.wegmann@uni-wuerzburg.de
Date:21 September 2012
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
In Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI:10.3390/rs4092818
Page Range:pp. 2818-2845
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: Carina Kübert
Deposited On:28 Nov 2012 10:40
Last Modified:18 Sep 2013 03:03

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