パデュー大学の研究チームが森林の自動マッピング技術の進歩を紹介(Purdue team introduces advance in automatic forest mapping technology)

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2022-10-04 パデュー大学

リモートセンシング誌にマッピング手法の詳細を発表した。この方法は、数本の木のマッピングから、一度に数百エーカーのマッピングまで、迅速かつ高精度で行えることを意味する。また、森林のデジタルツインの作成にもつながり、気候変動、病気の発生、人口増加に直面した際の管理計画を改善できる可能性がある。

<関連情報>

自動森林マッピングのための教師なしCanopy-to-Root Pathing (UCRP) 木材セグメンテーションアルゴリズム。 An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping

Joshua Carpenter,Jinha Jung,Sungchan Oh,Brady Hardiman and Songlin Fei
Remote Sensing  Published: 30 August 2022
DOI:https://doi.org/10.3390/rs14174274

パデュー大学の研究チームが森林の自動マッピング技術の進歩を紹介(Purdue team introduces advance in automatic forest mapping technology)

Abstract

Terrestrial laser scanners, unmanned aerial LiDAR, and unmanned aerial photogrammetry are increasingly becoming the go-to methods for forest analysis and mapping. The three-dimensionality of the point clouds generated by these technologies is ideal for capturing the structural features of trees such as trunk diameter, canopy volume, and biomass. A prerequisite for extracting these features from point clouds is tree segmentation. This paper introduces an unsupervised method for segmenting individual trees from point clouds. Our novel, canopy-to-root, least-cost routing method segments trees in a single routine, accomplishing stem location and tree segmentation simultaneously without needing prior knowledge of tree stem locations. Testing on benchmark terrestrial-laser-scanned datasets shows that we achieve state-of-the-art performances in individual tree segmentation and stem-mapping accuracy on boreal and temperate hardwood forests regardless of forest complexity. To support mapping at scale, we test on unmanned aerial photogrammetric and LiDAR point clouds and achieve similar results. The proposed algorithm’s independence from a specific data modality, along with its robust performance in simple and complex forest environments and accurate segmentation results, make it a promising step towards achieving reliable stem-mapping capabilities and, ultimately, towards building automatic forest inventory procedures.

1300森林一般
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