Francesco Martinuzzi
I am currently pursuing a PhD in Physics and Earth Sciences at Leipzig University, Germany, and Valencia, Spain, as a member of the ELLIS PhD program. My research focuses on the application of machine learning in Earth systems. I am part of the team at the Remote Sensing Center for Earth System Research (RSC4Earth), working under the supervision of Prof. Miguel D. Mahecha and Dr. Karin Mora. In addition, I have an affiliation with the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI).
Sessions
Amidst the surge in novel spectral indices for the increasing volume of remote sensing data with higher spatial, temporal, and spectral resolutions, this Julia package offers a comprehensive solution for their easy access and efficient computation. It features a user-friendly interface and robust processing capabilities. SpectralIndices.jl works with the most used data types (i.e. data frames), as well as with data types tailored for Earth system science (e.g. YAXArrays).
Using Julia for Earth and climate science has the potential to combine the best of both worlds: The speed of Fortran and the interactivity and productivity of Python, empowering users to be developers and developers to be users. In this minisymposium speakers will present software projects both from a user and a developer perspective. Talks are encouraged to discuss both use cases of existing software as well as the development of user-friendly software.
Using Julia for Earth and climate science has the potential to combine the best of both worlds: The speed of Fortran and the interactivity and productivity of Python, empowering users to be developers and developers to be users. In this minisymposium speakers will present software projects both from a user and a developer perspective. Talks are encouraged to discuss both use cases of existing software as well as the development of user-friendly software.