講演詳細

経営部門[Forest Management]

日付	2026年3月17日
開始時刻	ポスター発表
会場名	多目的ホール
講演番号	PD-19
発表題目	Stepwise Multi-LiDAR Estimation of Tree- and Stand-Level Carbon Stocks in Conifer Plantations in Central Hokkaido Stepwise Multi-LiDAR Estimation of Tree- and Stand-Level Carbon Stocks in Conifer Plantations in Central Hokkaido
所属	The University of Tokyo
要旨本文	Accurate forest carbon stock estimation is essential for sustainable forest management and climate change mitigation. This study proposes a stepwise multi-scale LiDAR framework to estimate tree- and stand-level carbon stocks in conifer plantations at the University of Tokyo Hokkaido Forest, integrating field measurements, backpack LiDAR, and UAV LiDAR. Field surveys covered only a small set of reference trees, while backpack LiDAR efficiently derived tree-level DBH. Backpack-derived DBH was used as the response variable in a random forest model trained with UAV LiDAR height and crown metrics, enabling DBH transfer to UAV LiDAR data with spatially continuous coverage and reducing the need for extensive field-based DBH measurements. Accuracy was assessed against field-measured DBH, and carbon estimates were validated at tree and plot levels. Results showed moderate DBH prediction and reasonable stand-scale carbon estimation, but limited individual-tree performance
著者氏名	○SIDIRA, MEMORY ・ OWARI, TOSHIAKI ・ HTUN, NYO ME
著者所属	Graduate School of Agriculture and Life Sciences, The University of Tokyo
キーワード	LiDAR, Backpack, Conifer, UAV, Plantation
Key word	LiDAR, Backpack, Conifer, UAV, Plantation