Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context

Monica Herrero Huerta; Roderik Lindenbergh

Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context

Monica Herrero Huerta, Roderik Lindenbergh

Optical and Laser Remote Sensing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

This study focuses on developing an innovative methodology to automatically estimate the diameter at breast height (DBH) of urban trees sampled by a Laser Mobile Mapping System (LMMS). The high-quality results confirm the feasibility of the proposed methodology, providingscalability to a comprehensive analysis of urban trees.

Original language	English
Title of host publication	Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems
Editors	S Durrieu, C Vega
Number of pages	3
Publication status	Published - 28 Sept 2015
Event	ISPRS Geospatial Week 2015, La Grande Motte, France - s.l. Duration: 28 Sept 2015 → 3 Oct 2015

Conference

Conference	ISPRS Geospatial Week 2015, La Grande Motte, France
Period	28/09/15 → 3/10/15

Keywords

DBH
LiDAR

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Proceedings_Silvilaser2015_mhh_rlFinal published version, 220 KBLicence: Unspecified

Cite this

@inproceedings{267f4763a421407f9ad1706242f465d1,

title = "Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context",

abstract = "This study focuses on developing an innovative methodology to automatically estimate the diameter at breast height (DBH) of urban trees sampled by a Laser Mobile Mapping System (LMMS). The high-quality results confirm the feasibility of the proposed methodology, providingscalability to a comprehensive analysis of urban trees.",

keywords = "DBH, LiDAR",

author = "{Herrero Huerta}, Monica and Roderik Lindenbergh",

year = "2015",

month = sep,

day = "28",

language = "English",

editor = "S Durrieu and C Vega",

booktitle = "Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems",

note = "ISPRS Geospatial Week 2015, La Grande Motte, France ; Conference date: 28-09-2015 Through 03-10-2015",

}

Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context. / Herrero Huerta, Monica; Lindenbergh, Roderik.
Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems. ed. / S Durrieu; C Vega. 2015.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context

AU - Herrero Huerta, Monica

AU - Lindenbergh, Roderik

PY - 2015/9/28

Y1 - 2015/9/28

N2 - This study focuses on developing an innovative methodology to automatically estimate the diameter at breast height (DBH) of urban trees sampled by a Laser Mobile Mapping System (LMMS). The high-quality results confirm the feasibility of the proposed methodology, providingscalability to a comprehensive analysis of urban trees.

AB - This study focuses on developing an innovative methodology to automatically estimate the diameter at breast height (DBH) of urban trees sampled by a Laser Mobile Mapping System (LMMS). The high-quality results confirm the feasibility of the proposed methodology, providingscalability to a comprehensive analysis of urban trees.

KW - DBH

KW - LiDAR

UR - https://silvilaser2015.teledetection.fr/index.php?page=proceedings

M3 - Conference contribution

BT - Proceedings of SilviLaser 2015: 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems

A2 - Durrieu, S

A2 - Vega, C

T2 - ISPRS Geospatial Week 2015, La Grande Motte, France

Y2 - 28 September 2015 through 3 October 2015

ER -

Automatic Tree Breast Height Diameter Estimation from Laser Mobile Mapping Data in an Urban Context

Abstract

Conference

Keywords

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