Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

Mohammad Imangholiloo; Tuomas Yrttimaa; Teppo Mattsson; Samuli Junttila; Marjut Holopainen; Ninni Saarinen; P. Savolainen; J. Hyyppä; Mikko Vastaranta

doi:10.1016/j.isprsjprs.2022.07.005

Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

Mohammad Imangholiloo, Tuomas Yrttimaa, Teppo Mattsson, Samuli Junttila, Marjut Holopainen, Ninni Saarinen, P. Savolainen, J. Hyyppä, Mikko Vastaranta

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	ISPRS Journal of Photogrammetry and Remote Sensing
Volume	191
Pages (from-to)	129-142
Number of pages	14
ISSN	0924-2716
DOIs	https://doi.org/10.1016/j.isprsjprs.2022.07.005
Publication status	Published - Sept 2022
MoE publication type	A1 Journal article-refereed

Fields of Science

4112 Forestry
Seedling forest
Area -based approach
Individual tree detection
LiDAR
Single -photon LiDAR (SPL)
Forest inventory
Aba
Als
Itd

Access to Document

10.1016/j.isprsjprs.2022.07.005Licence: CC BY

1-s2.0-S0924271622001782-mainFinal published version, 8.17 MBLicence: CC BY

Cite this

Imangholiloo, M., Yrttimaa, T., Mattsson, T., Junttila, S., Holopainen, M., Saarinen, N., Savolainen, P., Hyyppä, J., & Vastaranta, M. (2022). Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 191, 129-142. https://doi.org/10.1016/j.isprsjprs.2022.07.005

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title = "Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning",

keywords = "4112 Forestry, Seedling forest, Area -based approach, Individual tree detection, LiDAR, Single -photon LiDAR (SPL), Forest inventory, Aba, Als, Itd",

author = "Mohammad Imangholiloo and Tuomas Yrttimaa and Teppo Mattsson and Samuli Junttila and Marjut Holopainen and Ninni Saarinen and P. Savolainen and J. Hyypp{\"a} and Mikko Vastaranta",

year = "2022",

month = sep,

doi = "10.1016/j.isprsjprs.2022.07.005",

language = "English",

volume = "191",

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journal = "ISPRS Journal of Photogrammetry and Remote Sensing",

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Imangholiloo, M , Yrttimaa, T , Mattsson, T , Junttila, S, Holopainen, M, Saarinen, N, Savolainen, P, Hyyppä, J & Vastaranta, M 2022, 'Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 191, pp. 129-142. https://doi.org/10.1016/j.isprsjprs.2022.07.005

Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning. / Imangholiloo, Mohammad ; Yrttimaa, Tuomas ; Mattsson, Teppo et al.
In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 191, 09.2022, p. 129-142.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

AU - Imangholiloo, Mohammad

AU - Yrttimaa, Tuomas

AU - Mattsson, Teppo

AU - Junttila, Samuli

AU - Holopainen, Marjut

AU - Saarinen, Ninni

AU - Savolainen, P.

AU - Hyyppä, J.

AU - Vastaranta, Mikko

PY - 2022/9

Y1 - 2022/9

KW - 4112 Forestry

KW - Seedling forest

KW - Area -based approach

KW - Individual tree detection

KW - LiDAR

KW - Single -photon LiDAR (SPL)

KW - Forest inventory

KW - Aba

KW - Als

KW - Itd

U2 - 10.1016/j.isprsjprs.2022.07.005

DO - 10.1016/j.isprsjprs.2022.07.005

M3 - Article

SN - 0924-2716

VL - 191

SP - 129

EP - 142

JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

ER -