PREDICT & PREVENT
For GIS maps of Hotspot analysis, data has been taken from Satellite images and other online GIS data that is extensively used for international research purpose. It helps in prediction of priority areas.
Data for WebGIS forest fire event clustering are MODIS imagery fire points; there is possibility that all fire points are not forest fire points. It identifies previously recorded forest fires through satellite imagery.
Data for realtime forest fire is shared by the user who report the live forest fire events. hence it has maximum accuracy. It is Admin controlled or we can say controlled update is available to avoid wrong information clicked by user by accident.
It also aimed to develop an efficient information dissemination system through user friendly Android based mobile App (eForestFire)and at the same time link fire data shared by the citizens on a web portal (http://220.127.116.11/), which will be subsequently used to upgrade predictive model on GIS platform. Following were the major objectives-
To integrate poverty, population density, forest cover, forest type, temperature, rainfall, slope, & elevation to find initial hotspot & its correlation with actual data obtained from Forest Survey of India. And, to correlate socio-economy, geographical features & climatic factors with fire incidences.
To develop predictive model by integrating real data (FSI) & initial GIS based hotspot in order to extract villages towards strategic allocation of Govt. resources for damage mitigation and to assess where exactly to place fire controlling measures such a fire lines, watch towers etc.
Study at the level of lowest administrative unit i.e. villages and list of villages to be extracted with extremely high risk areas for preferential allocation of Govt. resources & for early warning system.
To link predictive model, Android App and web portal so as to refine the prediction every time when data is shared by the citizens. The eForestFire is a Fire Reporting System, a scientific approach to ease governance by involving people meaningfully and to promote e-Governance up to the lowest level (village) for end user.