The system collects real-time data through public reports via an app, sensors, or external data layers (KML, GeoJSON, Shapefiles). Using PostgreSQL with the PostGIS extension, these geospatial data are stored and processed. GeoServer distributes the data, and a web interface built with PHP and Leaflet displays the information on interactive maps, overlaying layers to enable real-time wildfire monitoring. Historical data are cross-referenced for predictive analysis, helping to identify high-risk areas.

Real-Time Wildfire Monitoring: Environmental agencies can act swiftly by receiving instant reports of wildfires, georeferenced and visualized on clear maps. Quick and Informed Decision-Making: The system facilitates fast decisions based on accurate data, preventing fire spread and minimizing environmental damage. Predictive Wildfire Analysis: The cross-referencing of historical data with new occurrences helps identify fire-prone areas, enabling preventive measures. Versatile Application: Although initially focused on wildfires, the system can be applied to public health (monitoring disease outbreaks), security (crime mapping), and agribusiness (pest outbreaks). Active Public Participation: Through real-time reporting, the public directly contributes to combating wildfires, enhancing monitoring efficiency. What do you hope to achieve? The primary goal of Panorama Geo is to improve the response to criminal wildfires, a growing issue in many regions. By facilitating real-time reporting and precise monitoring, we aim to prevent environmental disasters and ensure authorities act quickly and effectively. Additionally, we want the system to showcase how technology can unite the public and control agencies to protect the environment, with applications in other sectors like health and public safety.