Francesco Martinuzzi

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.

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.

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.

In the rapidly evolving field of remote sensing, spectral indices are pivotal for monitoring and deciphering Earth system dynamics, including vegetation dynamics, water bodies ecosystems, and fire regimes.

Remote sensing has evolved into a fundamental tool in environmental science, helping scientists monitor environmental changes, assess vegetation health, and manage natural resources.

Remote sensing has evolved into a fundamental tool in environmental science, helping scientists monitor environmental changes, assess vegetation health, and manage natural resources.