Indian Space Research Organisation API

Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual proje…

efficient header compression algorithm for IP based communication over the satellite network - ISRO, SIH2020

Analysis resources for the Inter IIT Tech Meet 9.0 problem statement by ISRO: Web-based visualization tool for AstroSat observations

Text-based and Voice-based search for satellite data ordering will massively improve user usability in terms of time spent and ease. This work focuses on satellite specific lingo and uses databases to search for data.

Team Members: Victor Azad (Team Lead), Anuj Kumar Jha (Team Co-Lead), Ashutosh Kumar Jha, Shourya Bhushan, Akash Payghan, Rishabh Raushan, Sagar Parihar, Somesh Swami

AI-powered prediction engine for space robotics efficiency.

This python package extracts subdatasets from OCM-2 HDF file, georeference them and exports them to GeoTIFF. The package also creates a cloud mask layer.