Gradient-boosted equivalent sources for gridding large gravity and magnetic datasets
Channel: Santiago Soler
Date: 2021-04-29

by Santiago Soler and Leonardo Uieda

Presented at the EGU21 General Assembly.

We present the gradient-boosted equivalent sources: a new methodology for interpolating very large datasets of gravity and magnetic observations even on modest personal computers, without the high computer memory needs of the classical equivalent sources technique. This new method is inspired by the gradient-boosting technique, mainly used in machine learning solutions.

Abstract: https://doi.org/10.5194/egusphere-egu21-1276
vPICO Single Slide: https://doi.org/10.6084/m9.figshare.14461792
Short video: https://doi.org/10.6084/m9.figshare.14515188

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