Forest fire is the most common hazard which is a great threat to the ecosystem. Remote Sensing and GIS are widely used for forest fire detection. Wireless Sensor Network (WSN) is an emerging technology which is used to monitor environmental parameters towards alerting forest department officers for prevention or control. In this research, the authors developed Forest Fire Information System (FFIS) that provides interface to monitor, assess and analyze the forest fire data emanating from WSN which is a part of Intelligent Forest Fire Detection System. The information system also maintains necessary details of forest fire incidents that can be used for analysis and report generation. It also has a Decision Support System (DSS) integrated into it that can be used by forest officials for strategic planning. This has been developed using PHP and MySQL. This paper is an extension of research work carried about Intelligent Forest Fire Detection System using WSN.
Early Forest Fire Detection System using Wireless Sensor Network and Deep Learning
