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:

Authors	Institution or Email of Authors
Leutner, Benjamin	benjamin.leutner@uni-wuerzburg.de
Reineking, Björn	Universität Bayreuth
Müller, Jörg	Nationalparkverwaltung Bayerischer Wald
Bachmann, Martin	martin.bachmann@dlr.de
Beierkuhnlein, Carl	Universität Bayreuth
Dech, Stefan	stefan.dech@dlr.de
Wegmann, Martin	martin.wegmann@uni-wuerzburg.de

Date:

21 September 2012

Journal or Publication Title:

Remote Sensing

Refereed publication:

Yes

In Open Access:

Yes

In SCOPUS:

In ISI Web of Science:

Yes

Volume:

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:

Raumfahrt

HGF - Program Themes:

R EO - Erdbeobachtung

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:

19 Apr 2013 11:22

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