UASmagpy: Python code for compensating rotary-wing sling-load UAS aeromagnetic data

This notebook implements the processing of UAS aeromagnetic total magnetic intensity data as described in Phelps and others (2022).
After low-pass filtering the raw data and applying a diurnal magnetic correction, a heading and altitude correction model is applied to the data, solved using regularized regression methods; heading refers to the direction in which the sensor is flying. The processed data, and the total magnetic intensity data interpolated to a regular grid, are available as output products.