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     Title, abstract, keywords:   Author:
     Geo-information Science , Pages 99-104
 

Combination of Remote Sensing and Meteorological Data for Fire Risk Monitoring—A Case Study in Peninsular Malaysia
PENG Guangxiong, CHEN Yunhao, LI Jing et al.

北京师范大学资源学院,北京师范大学环境演变与自然灾害教育部重点实验室,北京  100875;   2 湖南省气象台,长沙 410007;3 湖南省地质环境监测总站, 长沙 410007;  4 马来西亚国家遥感中心, 吉隆坡, 50480

Abstract

Based on the physical concept of heat energy of preignition, a new fire susceptibility index (FSI) is used to estimate the forest fire risk. The computation of the index requires inputs of fuel temperature and fuel moisture contents, both of which can be retrieved using remote sensing data and meteorological data. FSIs are adjusted using fuel map acquired from remote sensing data. FSIs are computed in Peninsular Malaysia for nine days before fire and validated with MODIS hotspot data. Results show that FSI increases as the day gets closer to the fire day, and this trend can be observed obviously about four days before the fire day, so FSI can be used to evaluate forest fire risk. Apart from being a good estimator of fire risk, the physical basis provides more meaning to FSI, allows computations of ignition probabilities, and facilitates the development of a future class of fire risk models driven by underlying physical, chemical, and biological processes. Since the preignition energy is a physical variable, it can be used to compare fire risks across ecoregions and time periods.
Keywords: fire risk; fire susceptibility index; preignition heat energy; MODIS

Corresponding Author Contact Information Corresponding author email:pgx457600@gmail.com


2007 Institute of Geographic Sciences and Natural Resources Research, CAS.