Open Source API for Launched Spacecrafts & Rockets data of ISROπ
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Updated
Apr 19, 2024 - HTML
Open Source API for Launched Spacecrafts & Rockets data of ISROπ
Detecting clouds and predicting their movement from INSAT imagery | I have completed this project under the guidance of ISRO
Cosmosis is an exciting space-themed website that offers a wealth of information about space exploration and related topics. Visitors can explore the latest updates from organizations like ISRO, NASA, and Astronomy Picture of the Day (APOD). The website also features in-depth articles on the history of ISRO and many other exciting observations.
An app that provides orientation information based on your current location to spot rockets launched from Satish Dhawan Space Center, Sriharikota (SDSC-SHAR).
A web player for customized animation of satellite images, developed for ISRO as part of Smart India Hackathon 2018
It is project to show case ISRO(INDIAN SPACE RESEARCH ORGANISATION) launches and spacecraft informations.
Analysis resources for the Inter IIT Tech Meet 9.0 problem statement by ISRO: Web-based visualization tool for AstroSat observations
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 projeβ¦
This Project Is Dedicated To The Success Of Chandrayaan-3
This repository contains code for cloud detection and motion prediction algorithms developed during SIH 2020.
flood monitoring using space based earth observation systems
Tropical Cyclone Intensity Classification and Estimation Using Infrared Satellite Images with Deep Learning
ISSAT is an open-source satellite tracking application that allows users to track the position of ISRO satellites in real-time.
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.
A machine learning model for determining quality of remote sensing satellite images.
ππ π Collection of Certificates and their information π
A repository for my summer research internship at Regional Remote Sensing Centre-East (2022-2023).
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