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https://github.com/santisoler/2023-agu

Abstract for AGU 2023
https://github.com/santisoler/2023-agu

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Abstract for AGU 2023

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# Processing potential field data with Fatiando a Terra



[Santiago Soler][santisoler], [Lu Li][lu] and [Lindsey Heagy][lindsey]



| **Information** | |

|---|---|

| Conference | [AGU Fall Meeting 2023][agu] |

| Abstract ID | 1443596 |

| Presentation Type | eLightning Session |

| Session | [NS33C - Transform Open Science Practices in Near Surface Geophysics][ns33c] |

| Session Conveners | [Seogi Kang][seogi], [Dieter Werthmuller][dieter], [Lindsey Heagy][lindsey], Aakash Ahamed and [Andrea Balza][andrea] |

| When | Wed 13 December 2023, 14:10-15:40 PST |

| Where | MC, eLightning Theater V, Hall D - South |

| Poster DOI: | [10.6084/m9.figshare.24687573](https://doi.org/10.6084/m9.figshare.24687573) |

| Download Poster: | [`soler-2023-agu-eposter.pdf` (v1)](https://github.com/santisoler/2023-agu/releases/download/v1/soler-2023-agu-eposter.pdf) |



## Abstract



The Fatiando a Terra project is a collection of open-source Python libraries

for geophysics that covers a wide range of functionalities, from data download

and processing to modelling and inversion. Each of the libraries in the project

was designed with their own scope of applications.



Harmonica is focused on processing and modelling gravity and magnetic data. It

provides tools for gravity corrections like Bouguer and terrain effects;

interpolations and upward continuation through equivalent sources; Fourier

domain filters like vertical derivatives, upward continuation and reduction to

the pole; forward modelling of geometries like prisms, point sources and

tesseroids. Boule hosts reference ellipsoids useful for applying coordinate

conversions and normal gravity calculations. Verde offers tools for processing

and interpolating any type of spatial data through a diverse set of methods,

with a machine learning inspired approach. Pooch eases the process of

downloading and caching data from the web with a simple interface. Lastly,

Ensaio offers a set of curated open-licensed datasets useful for teaching,

practicing and probing our codes.



The project started in 2010 in South America as a simple Python library as part

of a PhD Thesis, and has since grown to include a global community of

contributors. Its progress has been facilitated by a consistent effort of

meeting the highest standards in software development. Through the adoption of

best practices and a thoughtful design of its tools, the project provides well

tested and well documented code that is easy to use, regardless of the Python

skills of its users. This has led the project to be used in real world

applications like scientific research and geophysical exploration within

industry and academia.



During this presentation we'll provide an overview of the tools in the Fatiando

project, demonstrate their functionalities for processing of gravity and

magnetics data, and take a look at some code snippets to showcase its

capabilities and ease of use.



[santisoler]: https://www.santisoler.com

[lindsey]: https://lindseyjh.ca

[lu]: https://github.com/LL-Geo

[ns33c]: https://agu.confex.com/agu/fm23/meetingapp.cgi/Session/203260

[seogi]: https://sgkang.github.io

[dieter]: https://werthmuller.org

[andrea]: https://www.andreabalza.com

[agu]: https://www.agu.org/fall-meeting