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航空レーザー測量でカリフォルニア沿岸の崖侵食リスクを特定(New Statewide Lidar Study Identifies Hotspots for California Coastal Cliff Retreat)

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2026-10-23 カリフォルニア大学サンディエゴ校(UCSD)

カリフォルニア大学サンディエゴ校などの研究チームは、航空レーザー測量(LiDAR)を用いて、カリフォルニア州全域の海岸崖の侵食・後退状況を調査した。2023年に取得したデータを2016年のデータと比較し、7年間の地形変化を高精度に分析した結果、侵食速度には大きな地域差があり、特に北部・中部の一部地域で急速な後退が確認された。ハンボルト郡のロストコースト・ヘッドランズでは、年間70フィート(約21メートル)を超える後退が観測された。海岸崖の侵食は、住宅、道路、鉄道などのインフラや人々の安全に影響する重要な課題である。研究チームは、地域別の後退速度を確認できるオンライン地図も公開した。本研究は、継続的な地形監視を通じて侵食の進行を把握し、沿岸防災や土地利用計画、インフラ保全の改善に役立つことが期待される。

航空レーザー測量でカリフォルニア沿岸の崖侵食リスクを特定(New Statewide Lidar Study Identifies Hotspots for California Coastal Cliff Retreat)

An aerial view of King Range in Humboldt County taken during a 2023 airplane lidar survey conducted by the Air-Sea Interaction Laboratory at Scripps Institution of Oceanography at UC San Diego. Image credit: Nick Statom/Air-Sea Interaction Laboratory.

<関連情報>

航空機搭載ライダーと植生フィルタリングを用いたカリフォルニア沿岸崖の地形変化に関する理解の向上(2016年~2023年) Improved understanding of California coastal cliff morphodynamics using airborne lidar and vegetation filtering (2016–2023)

Danghan Xie, Hironori Matsumoto, Zuzanna M. Swirad, Luc Lenain, Adam P. Young

International Journal of Applied Earth Observation and Geoinformation  Available online: 28 June 2026

DOI:https://doi.org/10.1016/j.jag.2026.105433

Highlights

  • Airborne lidar data were collected across the California coast in 2023.
  • Automated workflows were developed to map cliff geometry, erosion, and retreat.
  • Ground filtering reduced vegetation-related uncertainty from 70 to 90% to below 20%.
  • Cliff retreat and erosion rates were higher in Northern and Central California.
  • Statewide cliff face retreat rate averaged 0.06 m/yr during 2016–2023.

Abstract

Coastal cliffs are widespread along California coastlines, yet their erosion remains difficult to quantify at statewide scales because of (1) limited high-resolution data, (2) intensive processing requirements, and (3) challenges in mapping ground elevations beneath vegetation. This study collected airborne lidar data across the California coast in 2023 and compared it with 2016 lidar to evaluate coastal cliff changes. We developed automated approaches to (1) delineate cliff geometry and cliff top retreat, and (2) quantify erosion volume changes and retreat rates at 5-m spacing alongshore. Using ground filtering algorithms, we reduced vegetation-obscured areas from 70–90% to <20%. The results show that mean cliffs are 38 m tall, 55 m wide, and slope at 37°, with height and width generally increasing northward. ∼34.5% of cliffs showed no measurable cliff face retreat change, while statewide retreat averaged 0.06 m/yr and reached a maximum of 10.2 m/yr. Both cliff top and face retreat rates were highest in Northern California. The maximum erosion rate exceeded 1150 m3/m/yr, while the statewide mean erosion and deposition rates were 2.6 m3/m/yr and 0.3 m3/m/yr, respectively. Although taller cliffs experienced higher erosion rates, a negative trend existed between cliff face retreat rate and cliff height for cliffs <100 m. This study provides a framework for statewide cliff change monitoring for improved understanding of coastal hazards across diverse coastal settings.

0904河川砂防及び海岸海洋
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