A lake salinity dataset produced via microwave and optical imageries

Lake salinity is an important parameter to characterize physical and biogeochemical processes and a fundamental indicator to evaluate lake water quality. However, its estimation in inland waters has been challenging because passive microwave salinity satellites lack sufficient spatial resolution, and optical satellites cannot directly measure it. Here, constructed a framework for estimating lake salinity by combining Synthetic Aperture Radar (SAR) and Multi-Spectral Instrument (MSI) data. On this basis, we reconstructed the lake salinity dataset for 2016–2024 in the Inner Mongolia Xinjiang Lake zone (IMXL) and revealed their spatial pattern.