第136回日本森林学会大会 発表検索
講演詳細
経営部門[Forest Management]
| 日付 | 2025年3月21日 |
|---|---|
| 開始時刻 | ポスター発表 |
| 会場名 | 学術交流会館（ロビー） |
| 講演番号 | PD-22 （学生ポスター賞審査対象） |
| 発表題目 | Reconstructing GEDI AGBD and DBH Models for Japanese Forests: Differentiating Whole-Tree and Canopy Reconstructing GEDI AGBD and DBH Models for Japanese Forests: Differentiating Whole-Tree and Canopy |
| 所属 | 東京大学農学生命研究科 |
| 要旨本文 | NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission, offering full-waveform LiDAR data, holds significant potential for monitoring aboveground biomass density (AGBD). Our study leveraged widely distributed collocated airborne laser scanning (ALS) and field measurement data from across Japan. Using the GEDI simulator, noise-free simulated GEDI waveform data were generated to train AGBD models for different forest strata, including canopy-level AGBD and total AGBD, as well as for various forest types, including needleleaf, broadleaf, and their combination. The results demonstrated substantial improvements in accuracy, with national-scale AGBD estimates averaging 195.81 Mg/ha, closely aligning with Japan's 4th National Forest Inventory (NFI). The mean canopy-level AGBD and under-canopy AGBD were estimated at 150.11 Mg/ha and 45.70 Mg/ha, respectively, with under-canopy biomass accounting for 25.33% of the total AGBD. |
| 著者氏名 | ○LI, HANTAO1 ・ HIROSHIMA, TAKUYA1 ・ KATO, TOMOMICHI2 |
| 著者所属 | 1The University of Tokyo ・ 2Hokkaido University |
| キーワード | Spaceborne LiDAR, AGB, DBH |
| Key word | Spaceborne LiDAR, AGB, DBH |