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.