Improving SEVIRI-Based Hotspots Detection by Using Multiple Simultaneous Observations

Abstract

Geostationary satellites like meteosat second generation (MSG) allow the detection and monitoring of thermal anomalies (wild fires and volcanic eruptions) with a refresh frequency ranging from 5 to 15 min. Such a frequency meets the requirements of the institutions involved in monitoring and containing the fire events and could provide information on the temporal behavior of the fire (through fire radiative power) and the spatial distribution of the events with the related hazard for the population and infrastructure when more occurrences are simultaneously present. A limitation of the operational applicability of this tool is currently represented by the low spatial resolution of the MSG/SEVIRI sensor ranging from 3 km at the equator to 4.5 km at Mediterranean latitudes. The limitations related to the sensitivity of the geostationary sensor to fire sizes have been, at least in part, overcome by introducing specific algorithms. However, the reduced accuracy in the geographic localization of the fire, which can, in principle, occupy any position in an area of about 16 km 2 (at Mediterranean latitudes), makes this information not very interesting for the institutions involved in firefighting. This paper analyzes the feasibility of improving the localization of the thermal anomalies (hotspots) by combining images acquired simultaneously from different MSG satellites located at different longitudes. In particular, we combine the images acquired by MSG-9 located at long. 9.0°, MSG-10 located at 0.0°and MSG-8 located at long. 41.5°. The results confirm the possibility of improving the accuracy of the detection by exploiting the observation of the events from different positions in space.

The Daily Fire Hazard Index: A Fire Danger Rating Method for Mediterranean Areas

“…Remote sensing systems allows one to collect biophysical measurements of ground conditions before and after fire events. These measurements have been used [30] in fire risk mapping [31][32][33], fuel mapping [34], active fire detection [35][36][37][38][39], burnt area estimates [40,41], burn severity assessing [42][43][44], and vegetation recovery monitoring [45]. Therefore it is not surprising that, in addition to the fully meteorological-based methods recalled above, several fire hazard estimation methods based exclusively on satellite data have been proposed.…”

Análise de Dados de Focos de Calor no Brasil Através de Técnicas de Visualização

“…Tanto as imagens, quanto os dados gerados nesse processo podem ser analisados para, por exemplo, detectar padrões e realizar previsões sobre focos de calor em um determinado local, considerando distribuições espaço-tempo [Pinto et al 2020]. A detecção antecipada de focos de calor se justifica na redução do tempo de resposta para a resolução do problema, e no apoio a tomadores de decisão para otimização de recursos no caso de vários incêndios ao mesmo tempo [Laneve et al 2019]. Neste contexto, o uso de técnicas de visualização de dados pode trazer informações que permitam uma melhor caracterização de cenários, identificação de outliers e a descoberta de padrões entre séries temporais [Telea 2014].…”