<b>A dataset of carbon parameters for the 24,366 lakes in China from 40-year Landsat observations</b>

Lakes function as receivers, regulators, reactors, and reservoirs in the global carbon cycle. However, long-term and national-scale monitoring data on lake carbon parameters are not available. Alternatively, long-term archived Landsat data have potential for enhancing the spatial and temporal retrievals of lake carbon parameters. Using Landsat reflectance during 1984-2023 and in-situ measurements at 5,503 stations, this study developed two-step Random Forest algorithms and remotely retrieved concentrations and storage of dissolved organic carbon (DOC), particulate organic carbon (POC), and dissolved inorganic carbon (DIC) across 24,366 lakes in China, named the China Lake Carbon Parameter (CLCP) dataset. The generated dataset exhibits a spatial resolution of 0.1° with an annual temporal resolution.