Web service tools in the era of forest fire management and elimination

Dimitris Poursanidis; Giorgos Kochilakis; Nektarios Chrysoulakis; Vasiliki Varella; Vassiliki Kotroni; Giorgos Eftychidis; Kostas Lagouvardos

doi:10.1117/12.2066474

23 October 2014 Web service tools in the era of forest fire management and elimination

Dimitris Poursanidis, Giorgos Kochilakis, Nektarios Chrysoulakis, Vasiliki Varella, Vassiliki Kotroni, Giorgos Eftychidis, Kostas Lagouvardos

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Proceedings Volume 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V; 924513 (2014) https://doi.org/10.1117/12.2066474
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

Wildfires in forests and forested areas in South Europe, North America, Central Asia and Australia are a diachronic threat with crucial ecological, economic and social impacts. Last decade the frequency, the magnitude and the intensity of fires have increased even more because of the climate change. An efficient response to such disasters requires an effective planning, with an early detection system of the ignition area and an accurate prediction of fire propagation to support the rapid response mechanisms. For this reason, information systems able to predict and visualize the behavior of fires, are valuable tools for fire fighting. Such systems, able also to perform simulations that evaluate the fire development scenarios, based on weather conditions, become valuable Decision Support Tools for fire mitigation planning. A Web-based Information System (WIS) developed in the framework of the FLIRE (Floods and fire risk assessment and management) project, a LIFE+ co-funded by the European Commission research, is presented in this study. The FLIRE WIS use forest fuel maps which have been developed by using generalized fuel maps, satellite data and in-situ observations. Furthermore, it leverages data from meteorological stations and weather forecast from numerical models to feed the fire propagation model with the necessary for the simulations inputs and to visualize the model’s results for user defined time periods and steps. The user has real-time access to FLIRE WIS via any web browser from any platform (PC, Laptop, Tablet, Smartphone).

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Dimitris Poursanidis, Giorgos Kochilakis, Nektarios Chrysoulakis, Vasiliki Varella, Vassiliki Kotroni, Giorgos Eftychidis, and Kostas Lagouvardos "Web service tools in the era of forest fire management and elimination", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 924513 (23 October 2014); https://doi.org/10.1117/12.2066474

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KEYWORDS

Data modeling

Vegetation

Atmospheric modeling

Floods

RGB color model

Visual process modeling

Visualization

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