Total phosphorus (TP) concentration significantly impacts river ecosystems, yet its dynamics remain poorly understood in the Contiguous United States (CONUS). This study leverages remote sensing and machine learning to developed the CONUS’s Landsat-based Estimation and Assessment of Riverine TP (CLEAR-TP) database. Using this extensive database, we explore the spatial and temporal change of TP across CONUS rivers.The GitHub repository includes the source code used in the analysis of the developed database.
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CLEAR-TP Database: The database will be publicly available after the publication.
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Coverage: The database spans 33,497 river reaches (a total of 107,000 km in length) from 1984 to 2018.
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Approach: Combines remote sensing technologies with machine learning algorithms for TP estimation.
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Remote Sensing Data: https://doi.org/10.1029/2020GL088946
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ML Model: https://doi.org/10.1029/2024JG008121
Corresponding Author: [email protected]