Development and assessment of lidar modeling to retrieve IOPs Proceedings of SPIE

Synthetic bio-optical dataset of inherent optical properties (IOPs) was created based on Chlorophyll concentrations ranging between 0.01 and 30 mg m-3. Dissolved and particulate fractions of absorption were varied to account for the natural ranges in values. The IOPs will then be used as inputs to a time-resolved Monte-Carlo radiative transfer model to generate accurate lidar backscatter time history wave forms. Test experiments were performed to validate the model, where the primary lidar geometry in the model matched an existing system developed at HBOI under NOAA-OAR funding. The system uses blue and green pulsed laser sources (473 and 532 nm, respectively) and has two telescopes arranged at a 10° offset (on and off axis) from one another. The field of view of the telescopes is set at 1°. Approaches are being investigated to invert simulated and measured lidar results to derive input water column IOP properties. Results are tested through application to lidar measurements collected in an experimental tank with known suspended particle type and concentration.

本数据集为固有光学特性（Inherent Optical Properties, IOPs）的合成生物光学数据集，基于浓度介于0.01~30 mg·m⁻³的叶绿素浓度构建而成。吸收作用的溶解态与颗粒态组分的取值覆盖自然环境中的常见波动区间。后续该固有光学特性数据集将作为输入参数，送入时间分辨蒙特卡洛（Monte-Carlo）辐射传输模型，以生成高精度的激光雷达（Lidar）后向散射时间历程波形。为验证该模型，开展了对照实验：模型中采用的激光雷达核心几何构型，与由NOAA-OAR资助、HBOI开发的现有系统保持一致。该系统采用蓝、绿波段脉冲激光源（分别为473 nm与532 nm），配备两台相互偏移10°（分别处于轴上与离轴位置）的望远镜，两台望远镜的视场角均设置为1°。当前正研究多种反演方法，以通过模拟与实测激光雷达结果反演得到水柱的固有光学特性参数，并通过将反演结果应用于已知悬浮颗粒类型与浓度的实验水槽中采集的激光雷达测量数据，对其进行验证。