PyXOpto is a collection of python tools for performing Monte Carlo simulations of light propagation in turbid media.

MC Dataset is an extensive collection of datasets computed with PyXOpto Monte Carlo light propagation models. The readily available datasets are computed for a vast variety of sources, detectors and sample optical properties and include information of reflectance, transmittance, sampling volume and fluence/energy deposition data.

A scientific package for estimating absorbance, transmittance of a glass-nanoparticle composite.

LIDARpy is a Python library created to assist users in handling LIDAR data. While it is simple to integrate, its functionalities are extensive. The library aids in tasks like background noise reduction, data grouping, bin adjustments, and uncertainty calculations. Furthermore, it offers foundational techniques for data inversion, including the Klet

Deriving wavelength dependent parameters using relative spectral response (RSRs) for Landsat 8 and Sentinel 2.