
CONUS Landsat-based Estimation and Assessment of Riverine TP (CLEAR-TP) is the first database providing Landsat-based estimates of total phosphorus (TP) concentrations across rivers in the contiguous United States, comprising over 16 million measurements (1984–2018) mapped to the modified NHDPlusV2 network. The database was generated using Landsat surface water reflectance data from the RiverSR database, combined with a remote sensing–driven machine learning model. Method detailed in the paper: Long-term Spatio-temporal Changes in Total Phosphorus Concentration in CONUS Rivers IOP Environmental Research Communications DOI: https://doi.org/10.1088/2515-7620/ae4f60 Associated paper : RiverSR : https://doi.org/10.1029/2020GL088946 Machine learning model : https://doi.org/10.1029/2024JG008121 River centerlines (modified NHDPlusV2) : https://zenodo.org/records/4304567
Files: CLEAR-TP : Estimation of total phosphorus along the modified NHDPlusV2 network.
Machine Learning, Nutrients/chemistry, Rivers, Water Quality, Total Phosphorus, hydrology, Remote sensing, Landsat
Machine Learning, Nutrients/chemistry, Rivers, Water Quality, Total Phosphorus, hydrology, Remote sensing, Landsat
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