Advancing Remote Sensing for Continuous Monitoring and Detection of Water Pollution Incidents

In the face of increasing industrial pollution, there is an urgent need to enhance water quality monitoring around industrial zones. This research explores the development of an advanced remote sensing system designed to continuously monitor water quality and provide early (timely) warning on changes that could signify environmental risks. With increasing incidences of water pollution due to industrial activities, there is a critical need for more dynamic and proactive monitoring approaches. This study investigates the feasibility of integrating remote sensing imagery to establish a comprehensive monitoring system that measures a spectrum of water quality indicators. At the core of the system lies near real-time data acquisition and processing capabilities, enabling the notification about significant changes in water quality. By leveraging remote sensing imagery, this system aims to provide detailed spatial and temporal analyses of water contaminants. This study could revolutionize the way water quality is monitored in sensitive and critical areas, offering a scalable solution to water management challenges and significantly enhancing environmental protection efforts. The results can contribute to the sustainable management of water resources, ensuring compliance with environmental regulations and safeguarding public health and ecosystems.