Application of MODIS Data-Based Forest Fire Monitoring and Assessment

Abstract

Forest fires are uncontrollable fires that spread freely within forest land, causing significant harm and damage, and thus its monitoring and assessment are crucial. There is a wide range of applications of MODIS data in forest fires aspect, but they are mainly targeted to solve regional problems. This study addresses MODIS data technology and examples of its application to forest fires in the Heilongjiang, Australia, Fujian Province, and Daxinganling Mountains, confirming its potential for monitoring and assessing forest fires. MODIS images and fire products contribute significantly to the usefulness and accuracy in the dynamic identification monitoring of forest fires and accurate determination of the ignition place due to their high resolution, excellent calibration, and positioning processing. MODIS and its corresponding product datasets can also be used to construct multiple vegetation and associated indicators to acquire vegetation area changes and to analyze the damage caused by forest fires. It is the ideal data source for monitoring and assessing forest fires.