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3D reconstruction of uneven-aged forest in single tree scale using digital camera and SfM-MVS technique

Hadi Bayati, Akbar Najafi, Javad Vahidi, Seyed Gholamali Jalali

2021Scandinavian Journal of Forest Research26 citationsDOI

Abstract

This study highlights the potential of hand-held digital cameras and SFM-MVS to produce a 3D reconstruction of individual trees at the single tree level in a deciduous and uneven-aged forest (faculty of natural resource, Tarbiat Modares University-area with about 2400 m2 and 35 trees). A high coefficient of the determinant (R2 = 98%) was observed between DBH derived from both filed measurements and the SfM-MVS technique. The percentage of the coefficient of variation of the root mean square error (CV(RMSE)%) and Bias of the technique to estimate DBH of the trees were 5.66% and −0.09%, respectively. The technique demonstrated a good linear relationship between the estimated tree height via field measurement and SfM-MVS (R2 = 89%), with a percentage of 14.84 for CV(RMSE)% and −11.27 for Bias. Furthermore, the technique’s performance in the 3D reconstruction of single trees showed an omission of 11.42%, commission error of 0%, and overall accuracy of 88.57%. The technique exhibited an accuracy of about −0.33 m for estimating trees’ location in the forest area. Finally, the findings suggested combining the SfM-MVS technique with a digital camera could be useful for 3D reconstruction of single trees and estimating tree attributes in uneven-aged and multi-structure forests.

Topics & Concepts

Scale (ratio)Remote sensingComputer scienceTree (set theory)Digital cameraStructure from motionComputer visionForestryArtificial intelligenceComputer graphics (images)Environmental scienceGeographyCartographyMathematicsMotion estimationMathematical analysisRemote Sensing and LiDAR Applications3D Surveying and Cultural HeritageForest ecology and management
3D reconstruction of uneven-aged forest in single tree scale using digital camera and SfM-MVS technique | Litcius