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Tree species classification using plant functional traits from LiDAR and hyperspectral data

Shi, Yifang and Skidmore, Andrew and Wang, Tiejun and Holzwarth, Stefanie and Heiden, Uta and Pinnel, Nicole and Zhu, Xi and Heurich, Marco (2018) Tree species classification using plant functional traits from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation (73), pp. 207-219. Elsevier. DOI: 10.1016/j.jag.2018.06.018 ISSN 0303-2434

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Official URL: https://www.sciencedirect.com/science/article/pii/S030324341830504X#!


Item URL in elib:https://elib.dlr.de/121020/
Document Type:Article
Title:Tree species classification using plant functional traits from LiDAR and hyperspectral data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shi, Yifangy.shi-1 (at) utwente.nlUNSPECIFIED
Skidmore, Andrewa.k.skidmore (at) utwente.nlUNSPECIFIED
Wang, Tiejunt.wang (at) utwente.nlUNSPECIFIED
Holzwarth, StefanieStefanie.Holzwarth (at) dlr.dehttps://orcid.org/0000-0001-7364-7006
Heiden, Utauta.heiden (at) dlr.dehttps://orcid.org/0000-0002-3865-1912
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204
Zhu, Xix.zhu (at) utwente.nlhttps://orcid.org/0000-0003-0556-5732
Heurich, MarcoBavarian Forest National Park, Department of ResearchUNSPECIFIED
Date:December 2018
Journal or Publication Title:International Journal of Applied Earth Observation and Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1016/j.jag.2018.06.018
Page Range:pp. 207-219
Publisher:Elsevier
ISSN:0303-2434
Status:Published
Keywords:Tree species classification; Plant functional traits; Airborne LiDAR; Airborne hyperspectral; Natural forest; HySpex
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Holzwarth, Stefanie
Deposited On:30 Jul 2018 10:31
Last Modified:06 Sep 2019 15:16

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