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Paulo Carvalho

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Review Open access 2026

Improving UAV-Derived Nearshore Bathymetry Using Geospatial Machine Learning

A framework that integrates high-resolution uncrewed aerial vehicle (UAV) multispectral imagery with geospatial machine learning to address spatial variability in reflectance-depth relationships and to mitigate performance overestimation by explicitly accounting for spatial autocorrelation is presented.

Telmo Dias, Paulo Carvalho, A. C. Costa et al. · 0 citations

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