PYRS: A PYTHON PACKAGE TO PROCESS REMOTELY SENSED DATA FOR GEOMATICS EDUCATION

Abstract

Abstract. PyRS is a Python package developed for processing remotely sensed data. It provides a user-friendly interface to handle various remote sensing tasks, including data reading, radiometric correction, image enhancement, image denoising, image segmentation, land cover classification, change detection, construction of remote sensing indices, quantitative inversion. PyRS includes a wide range of state-of-the-art algorithms and tools for processing optical data. PyRS is an open-source project that is continually updated and maintained by a group of developers. It is designed to be modular and extensible, allowing users to add new algorithms and functionality to the package. PyRS is widely used in the remote sensing community and has been applied to various applications, such as land cover mapping, crop monitoring, and disaster response. PyRS is a comprehensive and powerful Python package for processing remotely sensed data. Its user-friendly interface, broad range of functionalities, and open-source nature make it an attractive tool for researchers and practitioners in the remote sensing field. PyRS encapsulates the current mainstream remote sensing algorithms, which can greatly improve the scientific research efficiency of researchers in the field of remote sensing. The form of Python packages and the characteristics of open source make it more flexible and transparent than professional remote sensing processing software. PyRS will contribute to the progress and development of geomatics education.