Weather Forecasting Based on Cube-Sat

CubeSats are miniature, cost-effective satellites widely used for Earth observation, environmental monitoring, and scientific research. These small satellites provide a reliable platform for gathering meteorological data from remote and inaccessible regions. This research presents a cost-efficient CubeSat-based weather forecasting system designed for remote and internet-less regions like hill stations and tribal villages. Unlike traditional weather monitoring, this CubeSat offers a compact, low-cost, and autonomous solution for collecting real-time atmospheric data. The system includes humidity, temperature, rain, barometric pressure, and wind speed sensors, powered by a solar panel and controlled by an Arduino Uno. Data is transmitted via LoRa to a ground station laptop, where Python-based forecasting models process it. A GSM module then sends weather updates to localusers. By leveraging AI and real-time data, this system improves forecasting accuracy, aiding agriculture, disaster management, and resource planning. The scalable and adaptable CubeSat framework enhances meteorological monitoring in underserved areas, advancing climate resilience and environmental sustainability.