2024年南海激光雷达叶绿素浓度反演数据集

基于重点研发项目研制的机载海洋激光雷达于2024年在中国南海海域实测得到的海洋激光雷达剖面数据集，通过数据预处理（包括质量控制、海表位置对齐、海表高度校正、光子数转换、去除背景噪声、累加与平滑、后脉冲校正以及距离校正与几何校正等）与叶绿素浓度反演形成本数据集。为未来星载海洋激光雷达的业务化运行提供反演结果支撑。

This airborne ocean LiDAR profile dataset was obtained through in-situ measurements conducted in the South China Sea in 2024 using an airborne ocean LiDAR system developed under a key national research and development program. The dataset was generated via data preprocessing (including quality control, sea surface position alignment, sea surface height correction, photon count conversion, background noise removal, accumulation and smoothing, after-pulse correction, range correction and geometric correction, etc.) and chlorophyll concentration inversion. It provides inversion result support for the operational operation of future spaceborne ocean LiDAR systems.