JpGU-AGU Joint Meeting 2020

講演情報

[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-TT 計測技術・研究手法

[M-TT49] 人新世における高精細地形・地球物理データの活用

コンビーナ:早川 裕弌(北海道大学地球環境科学研究院)、楠本 成寿(富山大学大学院理工学研究部(都市デザイン学))、Christopher A Gomez(神戸大学 海事科学部 海域火山リスク科学研究室)

[MTT49-03] Comparison of LiDAR data using three platforms (Aerial-LiDAR, UAV-LiDAR, Terrestrial-LiDAR) in evergreen coniferous forest

*蝦名 益仁1加藤 顕2竹内 史郎1近藤 正一3 (1.地方独立行政法人北海道立総合研究機構 林業試験場、2.千葉大学大学院園芸学研究科、3.地方独立行政法人北海道立総合研究機構 工業試験場)

キーワード:LiDAR、常緑針葉樹林、地形、樹高

LIDAR based forest measurement becomes popular in forest inventory field. LIDAR provides three-dimensional data of terrain and vegetation by aerial and terrestrial platforms. The data has been used to estimate amount of biomass from above ground data and design forest roads from terrain data created from ground data. In this study, we compare three different platforms LiDAR data acquired over evergreen coniferous forest in Urahorocho, Hokkaido. The three platforms are airborne-, UAV-, and terrestrial-LiDAR. The tree height measurement was influenced by the data quality of terrain and canopy surface model created from the three different platforms. The result shows the differences reflected by different point density of terrain and vegetation. The UAV-LIDAR provides high quality point density and gives more solid model improves an accuracy for tree species classification using deep learning and reduces computational cost to estimate accurate tree height measurement. The higher point density from UAV has potential to improve data collection efficiency of forest inventory.