Airborne blue lidar reveals the ocean’s hidden biological engine in the South China Sea

The ocean’s biological carbon pump, a critical climate regulator, is driven by phytoplankton ecosystems hidden from satellites. This observational blind spot has left the dynamics of the crucial subsurface chlorophyll maximum layer—a key engine of ocean productivity—unquantified across large scales. Here, we address this limitation with an airborne blue lidar system, engineered with a deep-penetrating blue laser (486 nm) and a hybrid detector to achieve extended profiling depth and dynamic range. During campaigns in the South China Sea, our validated system produced continuous, high-resolution profiles of chlorophyll architecture down to 100 meters, nearly doubling the reach of existing lidar technology. This capability provides a direct means to quantify the spatial heterogeneity of subsurface chlorophyll maximum layers, shifting the characterization of the ocean’s carbon cycle from an inferred picture to a directly observed reality. Our work provides a technological basis for next-generation of space-based missions to monitor the ocean’s interior. An airborne blue lidar system, utilising a deep-penetrating blue laser (486 nm) and a hybrid detector can produce high-resolution profiles of chlorophyll architecture down to 100 meters depth, according to lidar campaigns in the South China Sea.

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Publication Details

Journal
Communications Earth & Environment
Published
2025-11-27
DOI
https://doi.org/10.1038/s43247-025-03034-1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

Airborne blue lidar reveals the ocean’s hidden biological engine in the South China Sea

Cédric Jamet, Davide Dionisi, Yan He, Kun� Shi et al.
Communications Earth & Environment
Remote Sensing and LiDAR Applications
article

Airborne blue lidar reveals the ocean’s hidden biological engine in the South China Sea

Cédric Jamet, Davide Dionisi, Yan He, Kun� Shi, Delu Pan, Paolo Di Girolamo, Zhenhua Zhang, Xiang Li, Weibiao Chen Weibiao Chen, Siqi Zhang, Peng Chen
article en

Abstract

The ocean’s biological carbon pump, a critical climate regulator, is driven by phytoplankton ecosystems hidden from satellites. This observational blind spot has left the dynamics of the crucial subsurface chlorophyll maximum layer—a key engine of ocean productivity—unquantified across large scales. Here, we address this limitation with an airborne blue lidar system, engineered with a deep-penetrating blue laser (486 nm) and a hybrid detector to achieve extended profiling depth and dynamic range. During campaigns in the South China Sea, our validated system produced continuous, high-resolution profiles of chlorophyll architecture down to 100 meters, nearly doubling the reach of existing lidar technology. This capability provides a direct means to quantify the spatial heterogeneity of subsurface chlorophyll maximum layers, shifting the characterization of the ocean’s carbon cycle from an inferred picture to a directly observed reality. Our work provides a technological basis for next-generation of space-based missions to monitor the ocean’s interior. An airborne blue lidar system, utilising a deep-penetrating blue laser (486 nm) and a hybrid detector can produce high-resolution profiles of chlorophyll architecture down to 100 meters depth, according to lidar campaigns in the South China Sea.

Communications Earth & EnvironmentVol. 6(1)
Centre National de la Recherche Scientifique (FR), Chinese Academy of Sciences (CN), University of Basilicata (IT), Ministry of Natural Resources (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Second Institute of Oceanography (CN), Nanjing Institute of Geography and Limnology (CN), Shanghai Institute of Optics and Fine Mechanics (CN), National Research Council (IT), Laboratoire d’Océanologie et de Géosciences (FR), University of Chinese Academy of Sciences (CN), Institut de Recherche pour le Développement (FR)
Openalex Percentile: Top 65%
Remote Sensing and LiDAR Applications
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