Chlorophyll-a (Chl-a) and Rrs dataset used to estimate Chlorophyll-a in Western Mississippi Sound

This dataset supports the study titled "Estimation of Chlorophyll-a in Uncrewed Aircraft Systems Imagery using Autonomous Surface Vessel data with Machine Learning Algorithms and Feature Selection Techniques" for monitoring Chlorophyll-a (Chl-a) in the Western Mississippi Sound (WMS). It includes field-measured in situ Chl-a concentrations alongside remote sensing reflectance (Rrs) data derived from a hand-held radiometer. The Rrs values correspond to five spectral bands of the Micasense RedEdge sensor, adjusted to match the sensor's spectral response. These data were collected concurrently with an Autonomous Surface Vessel (ASV) and Uncrewed Aircraft System (UAS) to ensure compatibility with remote sensing applications.

本数据集为题为《利用机器学习算法与特征选择技术结合自主水面舰艇数据估算无人机系统影像中叶绿素a含量》的研究提供数据支撑，该研究旨在监测西密西西比湾（Western Mississippi Sound, WMS）的叶绿素a（Chlorophyll-a, Chl-a）浓度。数据集包含实地采集的原位叶绿素a浓度数据，以及由手持式辐射计获取的遥感反射率（remote sensing reflectance, Rrs）数据。该遥感反射率数据对应Micasense RedEdge传感器的五个光谱波段，并已针对该传感器的光谱响应特性完成校正。所有数据均通过自主水面舰艇（Autonomous Surface Vessel, ASV）与无人机系统（Uncrewed Aircraft System, UAS）同步采集，以保障其可兼容各类遥感应用场景。