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Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

Latifi, Hooman and Fassnacht, Fabian and Müller, Jörg and Tharani, Agalya and Dech, Stefan and Heurich, Marco (2015) Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. International Journal of Applied Earth Observation and Geoinformation, 42, pp. 162-174. Elsevier. doi: 10.1016/j.jag.2015.06.008. ISSN 0303-2434.

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Official URL: http://www.sciencedirect.com/science/article/pii/S0303243415001373


Item URL in elib:https://elib.dlr.de/98001/
Document Type:Article
Title:Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Latifi, HoomanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fassnacht, FabianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Müller, JörgNBavarian Forest National Park, Department of ResearchUNSPECIFIEDUNSPECIFIED
Tharani, AgalyaInstitute of Remote Sensing, Anna University, Sardar Patel Rd., Chennai, IndiaUNSPECIFIEDUNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heurich, MarcoBavarian Forest National Park, Department of ResearchUNSPECIFIEDUNSPECIFIED
Date:2015
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
Volume:42
DOI:10.1016/j.jag.2015.06.008
Page Range:pp. 162-174
Publisher:Elsevier
ISSN:0303-2434
Status:Published
Keywords:LiDAR; Forest structure inventory; Single tree segment-based method; Area-based method; Spatial model; Landscape level management
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
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Wöhrl, Monika
Deposited On:14 Sep 2015 11:06
Last Modified:20 Nov 2023 14:20

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