基于Landsat的胶州湾悬浮物浓度反演数据集

悬浮物（Total suspended solids，TSS）浓度（mg/L）是近岸和内陆湖泊的重要水环境 参数。基于 1984–2020 年 Landsat TM/ETM /OLI 影像和“留一法交叉验证”方法使用 22 组遥感 反射率和 TSS 浓度数据进行建模，剩余 1 组数据进行验证，上述过程依次进行，共得到 23 个模 型，并计算决定系数（R²）和均方根误差（RMSE），最终选择精度最高的模型作为 TSS 浓度的 定量反演模型，生成了胶州湾时间序列的 TSS 产品数据集。数据集内容包括：（1）研究区边界 和胶州湾 1984、2020 年边界数据；（2）318 幅 TSS 数据，空间分辨率为 30 m。数据集存储为.shp 和.tif 格式，由 341 个数据文件组成，数据量为 236 MB（压缩为 1 个文件 232 MB）。

Total suspended solids (TSS) concentration (mg/L) is an important aquatic environmental parameter for coastal and inland lakes. Based on Landsat TM/ETM+/OLI images from 1984 to 2020 and the leave-one-out cross-validation method, 22 sets of remote sensing reflectance and TSS concentration data were used for model training, while the remaining 1 set was used for validation. This process was repeated sequentially, resulting in a total of 23 models. The coefficient of determination (R²) and root mean square error (RMSE) were calculated for each model, and the model with the highest accuracy was finally selected as the quantitative inversion model for TSS concentration. Finally, a time-series TSS product dataset for Jiaozhou Bay was generated.
The dataset includes the following contents: (1) Boundary data of the study area and the Jiaozhou Bay boundaries in 1984 and 2020; (2) 318 TSS datasets with a spatial resolution of 30 m. The dataset is stored in .shp and .tif formats, consisting of 341 data files with a total size of 236 MB (compressed to a single file of 232 MB).

搜集汇总

背景与挑战

背景概述

该数据集提供了1984-2020年胶州湾总悬浮物浓度的长期序列反演结果，空间分辨率为30米，包含318个TSS数据文件和边界数据，适用于近岸和内陆湖泊水环境研究。