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Monitoring Forest Fire Danger with Remote Sensing

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  • Brigitte Leblon

Abstract

Our paper presents a review of the use of remote sensing technologies for forest wildfire danger monitoring, with a particular emphasis on its applicability to fuel moisture monitoring. Remote sensing of fuel moisture was first done with NOAA-AVHRR NDVI images, but NDVI is more related to vegetation greenness rather than water stress. NOAA-AVHRR surface temperature images were also used, alone or in association with NDVI images. Both kinds of images have a limited image availability due to cloud cover. This is not the case for radar images, but their use in fuel moisture monitoring is still experimental, because of the noisy effects of several factors. Finally, the paper discusses the operational potentials and limitations of the use of each kind of satellite data for fire danger monitoring. Copyright Springer 2005

Suggested Citation

  • Brigitte Leblon, 2005. "Monitoring Forest Fire Danger with Remote Sensing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 35(3), pages 343-359, July.
    • Handle: RePEc:spr:nathaz:v:35:y:2005:i:3:p:343-359
    DOI: 10.1007/s11069-004-1796-3
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    Citations

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    Cited by:

    1. Th. Zagas & D. Raptis & D. Zagas & D. Karamanolis, 2013. "Planning and assessing the effectiveness of traditional silvicultural treatments for mitigating wildfire hazard in pine woodlands of Greece," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 545-561, January.
    2. Faisal, Abdullah Al & Kafy, Abdulla - Al & Afroz, Farzana & Rahaman, Zullyadini A., 2023. "Exploring and forecasting spatial and temporal patterns of fire hazard risk in Nepal's tiger conservation zones," Ecological Modelling, Elsevier, vol. 476(C).
    3. Hamed Adab & Kasturi Kanniah & Karim Solaimani, 2013. "Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1723-1743, February.
    4. Jaehoon Jung & Changjae Kim & Shanmuganathan Jayakumar & Seongsam Kim & Soohee Han & Dong Kim & Joon Heo, 2013. "Forest fire risk mapping of Kolli Hills, India, considering subjectivity and inconsistency issues," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2129-2146, February.
    5. Chijoo Lee & Hyungjun Yang, 2018. "A system to detect potential fires using a thermographic camera," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 511-523, May.

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