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Fast and reliable: evaluating smartphone LiDAR app for stem diameter measurement and tree mapping.

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Title: Fast and reliable: evaluating smartphone LiDAR app for stem diameter measurement and tree mapping.
Authors: Korznikov, Kirill1 (AUTHOR) korzkir@gmail.com, Doležal, Jiří1,2 (AUTHOR), Fibich, Pavel1,3 (AUTHOR), Lanta, Vojtech1,3 (AUTHOR), Bažant, Václav4 (AUTHOR), Aquino-Ramírez, Martin5 (AUTHOR), Collins-Key, Savanna6 (AUTHOR), Villanueva-Diaz, José7 (AUTHOR), Altman, Jan1,4 (AUTHOR)
Source: Canadian Journal of Forest Research. 9/8/2026, Vol. 56, p1-10. 10p.
Subject Terms: *Forest surveys, Forest mapping, Forest measurement, Point cloud
Abstract: Tree inventories require rapid, accurate measurements of stem diameter at breast height (DBH) and precise tree locations for monitoring, planning, and decision-making. We evaluated the smartphone-based LiDAR application (SBLA) ForestScanner across forest plots in the Czech Republic, Mexico, and the USA, comparing it with a diameter tape for DBH and a Vertex ultrasonic device for tree coordinates. Across 725 trees, SBLA-derived DBH closely matched tape measurements: discrepancies > 5 cm occurred in 10.5% of trees and >10 cm in 3.5%. The mean absolute error was 2.85 cm, and the root mean squared error was 5.24 cm. Errors were concentrated in smaller trees, where SBLA tended to overestimate stem diameter because of occasional point-cloud misfitting, whereas agreement was consistently high for medium and large trees. Tree coordinates from SBLA and the ultrasonic device were broadly comparable at fine scales. Field efficiency was substantially improved: a 1000 m2 plot with 70–80 trees required ∼2 h using the traditional approach versus ∼20 min with one SBLA operator. Current limitations are mainly software-related. Overall, SBLA provides an efficient, auditable, and operationally relevant tool for tree inventories. [ABSTRACT FROM AUTHOR]
Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: GreenFILE
An: 196816789
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PubTypeId: academicJournal
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  Data: Fast and reliable: evaluating smartphone LiDAR app for stem diameter measurement and tree mapping.
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  Data: <searchLink fieldCode="AR" term="%22Korznikov%2C+Kirill%22">Korznikov, Kirill</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> korzkir@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Doležal%2C+Jiří%22">Doležal, Jiří</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fibich%2C+Pavel%22">Fibich, Pavel</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lanta%2C+Vojtech%22">Lanta, Vojtech</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bažant%2C+Václav%22">Bažant, Václav</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aquino-Ramírez%2C+Martin%22">Aquino-Ramírez, Martin</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Collins-Key%2C+Savanna%22">Collins-Key, Savanna</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Villanueva-Diaz%2C+José%22">Villanueva-Diaz, José</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Altman%2C+Jan%22">Altman, Jan</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Forest+Research%22">Canadian Journal of Forest Research</searchLink>. 9/8/2026, Vol. 56, p1-10. 10p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Forest+surveys%22">Forest surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Forest+mapping%22">Forest mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Forest+measurement%22">Forest measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Point+cloud%22">Point cloud</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Tree inventories require rapid, accurate measurements of stem diameter at breast height (DBH) and precise tree locations for monitoring, planning, and decision-making. We evaluated the smartphone-based LiDAR application (SBLA) ForestScanner across forest plots in the Czech Republic, Mexico, and the USA, comparing it with a diameter tape for DBH and a Vertex ultrasonic device for tree coordinates. Across 725 trees, SBLA-derived DBH closely matched tape measurements: discrepancies > 5 cm occurred in 10.5% of trees and >10 cm in 3.5%. The mean absolute error was 2.85 cm, and the root mean squared error was 5.24 cm. Errors were concentrated in smaller trees, where SBLA tended to overestimate stem diameter because of occasional point-cloud misfitting, whereas agreement was consistently high for medium and large trees. Tree coordinates from SBLA and the ultrasonic device were broadly comparable at fine scales. Field efficiency was substantially improved: a 1000 m2 plot with 70–80 trees required ∼2 h using the traditional approach versus ∼20 min with one SBLA operator. Current limitations are mainly software-related. Overall, SBLA provides an efficient, auditable, and operationally relevant tool for tree inventories. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1139/cjfr-2026-0054
    Languages:
      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Forest surveys
        Type: general
      – SubjectFull: Forest mapping
        Type: general
      – SubjectFull: Forest measurement
        Type: general
      – SubjectFull: Point cloud
        Type: general
    Titles:
      – TitleFull: Fast and reliable: evaluating smartphone LiDAR app for stem diameter measurement and tree mapping.
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            NameFull: Lanta, Vojtech
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          Dates:
            – D: 08
              M: 09
              Text: 9/8/2026
              Type: published
              Y: 2026
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              Value: 56
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