insat-3d

Web application and a driver for converting INSAT-3DR data into Cloud Optimized Geotiffs (COGs)

INSAT 3D satellite image processor

A Deep Learning based Tropical Cyclone Intensity Estimator featuring the INSAT-3D Infrared Image Data over the Indian subcontinent.

Codes with results of my MSc. thesis project. Collocating a polar satellite's data with a geostationary satellite's data. Utilizing the extracted features to create models to predict cloud properties.

Satellite-derived Surface AQI estimation & TROPOMI HCHO hotspot detection/attribution over India using INSAT-3D, Sentinel-5P, ERA5 & ML | ISRO BAH-2026

AI dashboard that classifies tropical cyclone intensity from satellite images (SIH26070)

Explainable AI system for satellite-based heavy rainfall prediction using real INSAT-3DR data, temporal 3D-CNNs, Grad-CAM, and SHAP.

AI nowcasting of thunderstorms and lightning 0–6 h ahead for IMD (SIH 2026, PS SIH26072). Fuses radar, satellite, lightning and weather-model data. Trained on US GLM lightning, adapted to INSAT/GFS; not yet verified against Indian lightning observations.

This repository contains codes supplementing the results presented in "On the observed low-level wind variability at Jaisalmer and its representation in ERA5 reanalysis".

A web application that analyzes meteorological data and generates predictive visualizations of cloud and atmospheric phenomena