Time-Series Analysis of RS-Derived Chl-a Concentrations from 2013 to 2023 in Western Lake Ontario Using Landsat 8-9 Imagery

The dataset presented here offers a collection of both matchup data and code for preprocessing, processing, and postprocessing satellite imagery, along with tools for data visualization. The primary objective of this research was to conduct a time-series analysis of Remote Sensing (RS)-derived chlorophyll-a (Chl-a) maps of Western Lake Ontario and Hamilton Harbour. This analysis spans a decade, from 2013 to 2023, utilizing imagery from the Landsat 8 and 9 satellites. The matchup data are presented in the "Matchup_Data.xlsx" file. Simultaneously, the "RS_Data.xlsx" file contains the description of the RS data used. The included codebase, housed in the "Code" directory, facilitates the entire spectrum of data handling—from preprocessing raw satellite data to generating insightful visual representations. Final Estimated Chl-a maps, in the format of PNG, as well as an animated time-series video of the maps are also available in the Data folder.

本数据集提供了匹配数据（matchup data）与代码集合，涵盖卫星影像的预处理、处理与后处理流程，同时配备数据可视化工具。本研究的核心目标是针对安大略湖西部与汉密尔顿港的遥感（Remote Sensing）反演叶绿素a（chlorophyll-a, Chl-a）分布图，开展为期十年（2013年至2023年）的时序分析，所用影像源自Landsat 8与Landsat 9卫星。匹配数据已整理至"Matchup_Data.xlsx"文件中。与此同时，"RS_Data.xlsx"文件收录了所用遥感数据的详细说明。存放于"Code"文件夹内的代码库可支撑全流程的数据处理工作，从原始卫星数据的预处理直至生成具有参考价值的可视化成果均可实现。"Data"文件夹中还提供了最终生成的PNG格式估算叶绿素a分布图，以及该类地图的时序动态动画视频。