Development of a method to transform life fuel moisture content into ignition probability

S. Jurdao; J. M. Arevalillo; E. Chuvieco; M. Yebra

Development of a method to transform life fuel moisture content into ignition probability

S. Jurdao^*, J. M. Arevalillo, E. Chuvieco, M. Yebra

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

This study aims to explore several methodologies concerning ignition probability (IP) modeling for grassland and shrubland located on the Mediterranean region of Spain. This research has been performed based on Live Fuel Moisture Content (LFMC) product developed by García et al. (2008) from an Advanced Very High Resolution Radiometer (AVHRR) time series. Fire occurrence has been determined by the MODIS Thermal Anomalies product (MOD14) for the years between 2001 and 2007. The results show that the methodology applied for this study helps to transform LFMC cartography into an IP index. This index, integrated with other variables, is likely to be a strategic indicator useful to prevent and manage forest fires.

Original language	English
Publication status	Published - 2011
Externally published	Yes
Event	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia Duration: 10 Apr 2011 → 15 Apr 2011

Conference

Conference	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/Territory	Australia
City	Sydney, NSW
Period	10/04/11 → 15/04/11

Cite this

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title = "Development of a method to transform life fuel moisture content into ignition probability",

abstract = "This study aims to explore several methodologies concerning ignition probability (IP) modeling for grassland and shrubland located on the Mediterranean region of Spain. This research has been performed based on Live Fuel Moisture Content (LFMC) product developed by Garc{\'i}a et al. (2008) from an Advanced Very High Resolution Radiometer (AVHRR) time series. Fire occurrence has been determined by the MODIS Thermal Anomalies product (MOD14) for the years between 2001 and 2007. The results show that the methodology applied for this study helps to transform LFMC cartography into an IP index. This index, integrated with other variables, is likely to be a strategic indicator useful to prevent and manage forest fires.",

keywords = "Forest fire, Fuel moisture content, Ignition probability, Logistic regression, Modis",

author = "S. Jurdao and Arevalillo, {J. M.} and E. Chuvieco and M. Yebra",

year = "2011",

language = "English",

note = "34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring ; Conference date: 10-04-2011 Through 15-04-2011",

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Development of a method to transform life fuel moisture content into ignition probability. / Jurdao, S.; Arevalillo, J. M.; Chuvieco, E. et al.
2011. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Development of a method to transform life fuel moisture content into ignition probability

AU - Jurdao, S.

AU - Arevalillo, J. M.

AU - Chuvieco, E.

AU - Yebra, M.

PY - 2011

Y1 - 2011

N2 - This study aims to explore several methodologies concerning ignition probability (IP) modeling for grassland and shrubland located on the Mediterranean region of Spain. This research has been performed based on Live Fuel Moisture Content (LFMC) product developed by García et al. (2008) from an Advanced Very High Resolution Radiometer (AVHRR) time series. Fire occurrence has been determined by the MODIS Thermal Anomalies product (MOD14) for the years between 2001 and 2007. The results show that the methodology applied for this study helps to transform LFMC cartography into an IP index. This index, integrated with other variables, is likely to be a strategic indicator useful to prevent and manage forest fires.

AB - This study aims to explore several methodologies concerning ignition probability (IP) modeling for grassland and shrubland located on the Mediterranean region of Spain. This research has been performed based on Live Fuel Moisture Content (LFMC) product developed by García et al. (2008) from an Advanced Very High Resolution Radiometer (AVHRR) time series. Fire occurrence has been determined by the MODIS Thermal Anomalies product (MOD14) for the years between 2001 and 2007. The results show that the methodology applied for this study helps to transform LFMC cartography into an IP index. This index, integrated with other variables, is likely to be a strategic indicator useful to prevent and manage forest fires.

KW - Forest fire

KW - Fuel moisture content

KW - Ignition probability

KW - Logistic regression

KW - Modis

UR - http://www.scopus.com/inward/record.url?scp=84879762900&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84879762900

T2 - 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Y2 - 10 April 2011 through 15 April 2011

ER -

Development of a method to transform life fuel moisture content into ignition probability

Abstract

Conference

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