Can weak physics improve machine-learning generalization to new (or any) sites compared to hard-constraint physics-informed machine learning that requires site-specific details? We address this question in our new paper in GRL. doi.org/10.1029/2025... #soilmoisture #machinelearning

Hydrology Paper of the Day @mlearthsciences.bsky.social on the use of frequency-domain neural networks for soil moisture imputation: weather station observations and model application by sliding windows and spatial convolution; a comparison of approaches; and rainfall magnitudes and sensitivities.

First post !!! Happy to share our new paper is out in Engineering Applications of AI! "Overcoming Data Scarcity" uses transfer learning + satellite fusion to predict soil moisture with 55% less in-situ data 🔗 doi.org/10.1016/j.enga… �� abhilashsingh.net/codes.ht#RemoteSensinge#MLn#AIML #AI