2022-2023年中国五大河（松花江、黄河、长江、淮河、珠江）悬浮物浓度数据集

以SDGSAT-1 MII为主要数据源，在进行ACOLITE大气校正的基础上，构建了基于红绿波段比值的悬浮物浓度反演经验算法，生产了悬浮物浓度数据。手绘河流中心线矢量并提取悬浮物浓度值，通过逐段采样求均值的方法，得到五大河中心线悬浮物浓度数据集。为保证数据的完整性，将2022与2023年同一个季节的数据结果进行了合并，得到2022-2023五大河每一个季节的悬浮物浓度数据集。

Taking SDGSAT-1 MII as the main data source, based on ACOLITE atmospheric correction, an empirical inversion algorithm for suspended solids concentration (SSC) was constructed using the red-green band ratio, and the SSC data were generated. Manually delineated river centerline vectors were used to extract SSC values, and the dataset of SSC along the centerlines of the five major rivers was obtained via segment-wise sampling and averaging. To ensure data integrity, the same-season data results from 2022 and 2023 were merged, yielding the seasonal SSC dataset of the five major rivers for 2022-2023.