Presentation Information
[U16-P09]Development of educational and research tools for satellite simulator using Python
*Kaya Kanemaru1 (1.National Institute of Information and Communications Technology)
Keywords:
Satellite simulator,Remote sensing
Satellite observations are virtually the method of observing the Earth's surface and atmosphere over the globe. In recent years, various types of spaceborne sensors have enabled the acquisition of detailed information about the Earth environment parameters. Since sensors onboard the satellites use electromagnetic waves, we can directly measure the intensity of radiation and scattering, but have to estimate desired physical parameters from satellite observations. Users typically use retrieved data for their research, but they sometimes require knowledge of radiation and scattering for interpreting the results. In such cases, the use of satellite simulators is useful. A satellite simulator is software equipped with calculation functions for radiation and scattering that can reproduce the measurements of the sensors based on input values from numerical weather models and other sources. In Japan, the Satellite Data Simulator Unit (SDSU) is developed at Nagoya University, and the Joint-Simulator (J-SIM) is developed by JAXA. These satellite simulators are often implemented in programming languages such as Fortran or C-language to achieve high computational efficiency and accuracy for scientific purposes. On the other hand, Fortran and C-language are less readable and less efficient for development compared to modern programming languages like Python, which is not easy for beginners to conduct early stages of research. In recent years, activities for development of satellite simulators using Python have been introduced. Python's ability to easily integrate with a wide range of scientific computing libraries and visualization tools makes it suitable for use in education and research. The development of a Python-based satellite simulator will make it easier for more students and researchers and is expected to promote the understanding and application of satellite observation data.
In this presentation, we will introduce a Python interface to call SDSU/JSIM and a simple tutorial. We will also report on the assignment exercises conducted in the internship program at the author's institution and feedback from participating students.
In this presentation, we will introduce a Python interface to call SDSU/JSIM and a simple tutorial. We will also report on the assignment exercises conducted in the internship program at the author's institution and feedback from participating students.