Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard

Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard

Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier with higher levels of droughts, leading to higher fire severity. The main aim of...

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Bibliographic Details
Main Authors: Stavros Sakellariou, Pedro Cabral, Mário Caetano, Filiberto Pla, Marco Painho, Olga Christopoulou, Athanassios Sfougaris, Nicolas Dalezios, Christos Vasilakos
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
forest fire hazard
Analytical Hierarchy Process
fuzzy logic
spatiotemporal analysis
spatial variability
remote sensing
Online Access:https://www.mdpi.com/1424-8220/20/17/5014

Internet

https://www.mdpi.com/1424-8220/20/17/5014

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