SDAT: An Open Source Tool for Processing, Analysis and Simulation of Spectroradiometer Data

Spectroradiometer Data Analysis and Simulation Tool (SDAT) is a Python-3-based free and open-source tool designed to process, analyze and simulate field spectroradiometer data. The Overarching aim of SDAT is to provide free-ofcharge and user-friendly access to advanced approaches for spectroradiometer data processing for both beginners and advanced users. Basic as well as advanced functionalities such as spectroradiometer-data management, spectral visualization, spectral transformation, spectral resampling, multivariate regression, temporal spectral visualization, band sensitivity analysis, spectral simulation (6S and PROSAIL), spectral mixing analysis and spectral library utilities (USGS and ECOSTRESS libraries) are available in SDAT. The complete package has been bundled for standalone application in windows-based desktop computers. The tool provides a flexible framework powered by widely used python packages such as Numpy, Pandas, Scikit-learn, and Py6S, enabling scientists to process and analyze spectral data using machine learning methods, which can significantly reduce the time required for processing and analysing lab/field-based spectroradiometer data.