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Updated: Sep 10, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Published on: February 9, 2024

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混合温帯森林における多様式遠隔観測と機械学習による地上のバイオマスの推定

Shashika Himandi Gardeye Lamahewage1, Chandi Witharana2,3, Rachel Riemann4

  • 1Department of Natural Resources and the Environment, College of Agriculture, Health and Natural Resources, University of Connecticut, Storrs, CT, 06269, USA. shashika_himandi.lamahewa@uconn.edu.

Scientific reports
|August 24, 2025
PubMed
まとめ

森林の地面上の木のバイオマス (AGB) を正確に推定することは,炭素貯蔵の評価にとって極めて重要です. この研究では遠隔検知データとランダムフォレストアルゴリズムを使用して AGB予測モデルを改良し,森林の炭素モニタリングの効率を高めています.

キーワード:
地上のバイオマス森林の炭素森林の調査と分析リダール機械学習ランダムフォレスト回帰

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