Big data show idiosyncratic patterns and rates of geomorphic river mobility

Big data show idiosyncratic patterns and rates of geomorphic river mobility

Abstract Big data present unprecedented opportunities to test long-standing theories regarding patterns and rates of geomorphic river adjustments. Here, we use locational probabilities derived from Landsat imagery (1988-2019) to quantify the dynamics of 600 km2 of riverbed in 10 Philippine catchment...

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Bibliographic Details
Main Authors: Richard J. Boothroyd, Richard D. Williams, Trevor B. Hoey, Gary J. Brierley, Pamela L. M. Tolentino, Esmael L. Guardian, Juan C. M. O. Reyes, Cathrine J. Sabillo, Laura Quick, John E. G. Perez, Carlos P. C. David
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58427-9
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