Assessing forest fire potential in Kalimantan Island, Indonesia, using satellite and surface weather data

Dodi Sudiana; Hiroaki Kuze; Nobuo Takeuchi; Robert E. Burgan

doi:10.1071/WF02035

Assessing forest fire potential in Kalimantan Island, Indonesia, using satellite and surface weather data

Dodi Sudiana, Hiroaki Kuze, Nobuo Takeuchi, Robert E. Burgan

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

An algorithm for assessing forest fire potential is tested for Kalimantan Island, Indonesia. It is based on a fuel model map modified from the US-National Fire Danger Rating System (US-NFDRS), Normalized Difference Vegetation Index (NDVI), and weather data. The Indonesian fuel model map was derived using the global 4-minute land cover data set consisting of 13 classes. The NDVI data were derived from the global 4-minute NOAA-AVHRR data. The output is presented as a monthly Fire Potential Index (FPI) from 1981 to 1993 and compared with trends in fire occurrences over the same time period. A case study illustrates correlation between the FPI and the hot-spot distribution derived from AVHRR data, as well as between the FPI and the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index.

Original language	English
Pages (from-to)	175-184
Number of pages	10
Journal	International Journal of Wildland Fire
Volume	12
Issue number	2
DOIs	https://doi.org/10.1071/WF02035
Publication status	Published - 2003

Keywords

Fire danger
Fuels
NDVI
TOMS

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10.1071/WF02035

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title = "Assessing forest fire potential in Kalimantan Island, Indonesia, using satellite and surface weather data",

abstract = "An algorithm for assessing forest fire potential is tested for Kalimantan Island, Indonesia. It is based on a fuel model map modified from the US-National Fire Danger Rating System (US-NFDRS), Normalized Difference Vegetation Index (NDVI), and weather data. The Indonesian fuel model map was derived using the global 4-minute land cover data set consisting of 13 classes. The NDVI data were derived from the global 4-minute NOAA-AVHRR data. The output is presented as a monthly Fire Potential Index (FPI) from 1981 to 1993 and compared with trends in fire occurrences over the same time period. A case study illustrates correlation between the FPI and the hot-spot distribution derived from AVHRR data, as well as between the FPI and the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index.",

keywords = "Fire danger, Fuels, NDVI, TOMS",

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T1 - Assessing forest fire potential in Kalimantan Island, Indonesia, using satellite and surface weather data

AU - Sudiana, Dodi

AU - Kuze, Hiroaki

AU - Takeuchi, Nobuo

AU - Burgan, Robert E.

PY - 2003

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AB - An algorithm for assessing forest fire potential is tested for Kalimantan Island, Indonesia. It is based on a fuel model map modified from the US-National Fire Danger Rating System (US-NFDRS), Normalized Difference Vegetation Index (NDVI), and weather data. The Indonesian fuel model map was derived using the global 4-minute land cover data set consisting of 13 classes. The NDVI data were derived from the global 4-minute NOAA-AVHRR data. The output is presented as a monthly Fire Potential Index (FPI) from 1981 to 1993 and compared with trends in fire occurrences over the same time period. A case study illustrates correlation between the FPI and the hot-spot distribution derived from AVHRR data, as well as between the FPI and the Total Ozone Mapping Spectrometer (TOMS) Aerosol Index.

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Assessing forest fire potential in Kalimantan Island, Indonesia, using satellite and surface weather data

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Keywords

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