TREETOP DETECTION IN RIVERINE BAMBOO FORESTS USING TWO TYPES OF DSMS

DOI Web Site 7 References
  • TEZUKA Togo
    土木研究所 流域水環境研究グループ 流域生態チーム
  • MIZOGUCHI Yuta
    土木研究所 流域水環境研究グループ 流域生態チーム
  • SAITOU Nobuhiro
    国土交通省 中国地方整備局河川部
  • SAKIYA Kazutaka
    土木研究所 流域水環境研究グループ 流域生態チーム

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  • 異なる2つの方法で作成されたDSMによる河道内に繁茂する竹林の樹頂点抽出

Abstract

<p> Treetop detection was conducted in a dense bamboo forest using Local Maximum Filtering (LMF) with digital surface models (DSMs), which were generated using airborne laser scanning data and UAV images processed with Structure-from-Motion/Multi-View-Stereo (UAV-SfM). Subsequently, LMF was applied to both DSMs and the optimal Window Size (WS) parameter for LMF was examined. The results showed that the optimal WS was smaller for the UAV-derived DSM (DSM-U) than for the ALS-derived DSM (DSM-A). This difference was attributed to smoother elevation roughness in the DSM-U than in the DSM-A. These results suggest that the types of DSMs generated by ALS or UAV-SfM data affect the application results of treetop detection. Therefore, it is important that the WS should be set considering the characteristics of the DSMs.</p>

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