How to start with the Mars orbital Mission the Pymars_india?
Satellite data manipulation and visualization of mars dataset of Nasa and Mars orbital mission (India)
Introduction
India’s first interplanetary mission into the Martian orbit on September 24, from where it was going to circle the Red Planet for the next six months. Five years later, it’s still spinning. Mangalyaan entered the Martian orbit, it has provided an overwhelming amount of data back to Earth. The Mars Colour Camera (MCC) onboard the orbiter had snapped 980+ images which is being embedded in this https://pypi.org/project/Pymars-india/ and prepared the mars image dataset of the martian moon.
Mangalyaan: India’s first Mars expedition
India’s first Mars expedition, Mangalyaan was an ambitious space project of the ISRO. Under which, on 5 November 2013, it was left to orbit Mars at 2.38 minutes. The MOM was launched successfully by the Polar Satellite Launch Vehicle (PSLV) C-25 from the Satish Dhawan Space Center at Sriharikota in Andhra Pradesh.
Mangalyaan: Mission cost
The cost of this mission was 450 crore rupees, which is the tenth of NASA’s first Mars mission and a quarter of the Sino-Japanese failed Mars missions.
Mangalyaan: Mission objectives
The main objectives of Mangalyaan are to demonstrate India’s rocket launch system, spacecraft construction and operational capabilities and spatial feature of the Martian moon.
Python package
On the personal ground, I always wanted to contribute to the society through knowledge sharing, I came up with the plan to create an open-source module which will be contributed by the developer, tester, data scientist across the globe and utilized by people to explore the Martian surface and it’s data.
The package will consist of the image data interpretation technique and render the data according to the need of a person.
Versioning and Vision
The development of the python package is still in progress, which will soon be added to the PyPI module.
- version 1.0 — testing purpose(no codes or image dataset)
- version 2.0 — In progress development (+images, tiff)
- version 3.0 — The algorithm, syntax and visualization technique
- version 4.0 — Embedding machine learning and deep learning algorithm
My vision to create the full open-source dataset which will enhance the understanding of people for the interplanetary mission and would be easy for a kid to use.
Package
pip install pymars-india (still in progress)
https://pypi.org/project/Pymars-india/