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Nice analysis! I'm interested in learning how to read these papers better.

Which section suggests "trained on data from areas with climates and landscapes wildly different than where the model is applied"?

EDIT: I see it now in "Methods". Here's the LIDAR dataset they used, Digital Coast coastal Lidar by NOAA: https://coast.noaa.gov/digitalcoast/data/coastallidar.html



In this article, we present ECWL exposure assessments that address this problem by employing CoastalDEM, a new DEM developed using a neural network to perform nonlinear, nonparametric regression analysis of SRTM error. This model incorporates 23 variables, including population and vegetation indices, and was trained using lidar-derived elevation data in the US as ground truth.




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