Water Quality Data - Lake Allatoona, Georgia, U.S., 2017

These data include water quality and surface reflectance data at three sites in Lake Allatoona, Georgia, U.S. in the summer of 2017. Water quality parameters were measured including chlorophyll-a, temperature, pH, DO, and EC. The data were gathered using a YSI sonde and GER 1500 spectroradiometer in the field, and samples taken and analyzed and in a lab by the HPLC method. These data are in CSV and spreadsheet format. The spectroradiometer data were used for calibration of historical Landsat data by methods outlined in the included spreadsheet. These data and methods are a part of our study integrating Landsat data and in-situ data from public datasets in which we hypothesized that some of the major drivers of phytoplankton blooms in Lake Allatoona were drought severity and rainfall intensity. We found that the drivers may differ depending on location in a lake or reservoir, and that drought indices showed the highest correlations in most of the linear models.本数据集涵盖2017年夏季美国佐治亚州阿拉托纳湖（Lake Allatoona）三个监测点位的水质与地表反射率数据。本次测定的水质参数包括叶绿素a（chlorophyll-a）、水温、pH值、溶解氧（Dissolved Oxygen，DO）与电导率（Electrical Conductivity，EC）。 数据通过野外实地采集获取：使用YSI sonde水质探头与GER 1500光谱辐射计（GER 1500 spectroradiometer）采集相关观测数据，同时采集水样并采用高效液相色谱法（High Performance Liquid Chromatography，HPLC）在实验室完成分析。本数据集采用CSV与电子表格格式存储。光谱辐射计数据被用于依据附带电子表格中载明的方法，对历史Landsat数据开展辐射定标工作。 本数据集与配套方法隶属于一项整合Landsat数据与公开数据集原位观测数据的研究课题。该研究提出假设：阿拉托纳湖浮游植物水华的部分核心驱动因子为干旱严重程度与降雨强度。研究结果显示，驱动因子会因湖泊/水库内监测点位的不同而存在差异，且在多数线性模型中，干旱指数均展现出最高的相关性。