An IOT-Based Satellite Image Processing System for Environmental Monitoring
Abstract
Environmental monitoring is essential for sustainable development, disaster prevention, and efficient resource management. Traditional ground-based monitoring systems suffer from limited coverage and delayed data collection. Recent advancements in Internet of Things (IoT), satellite communication, and digital image processing provide new opportunities for large-scale, real-time environmental monitoring. This paper proposes an IoT-based satellite image processing system designed to monitor environmental conditions effectively. Satellite images are acquired using remote sensing sensors, processed using digital image processing techniques, and transmitted through IoT communication protocols to cloud-based ground stations. The proposed system improves monitoring accuracy, scalability, and response time. Applications include precision agriculture, flood detection, forest fire monitoring, climate analysis, and urban planning. The integration of satellite technology, image processing, and IoT communication provides a reliable and efficient solution for environmental monitoring.
Fields of Study & Subjects
Arduino and IoT Applications
Remote Sensing and Land Use
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN