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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Remote Sensing Fire Danger Prediction Models Applied to Northern China
verfasst von : Xiaolian Li, Wiegu Song, Antonio Lanorte, Rosa Lasaponara
Erschienen in: Computational Science and Its Applications – ICCSA 2016
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Abstract
Remote sensing fire danger prediction model is applied to Northern China. This study was carried out in the Daxing’anling region, which is located in Heilongjiang Province and Inner Mongolia (50.5°–52.25° N, 122°–125.5° E), the northern China. The method integrated by dead fuel moisture content and relative greenness index, which is based on the fire potential index (FPI), was used to predict the fire danger level of the study area. The case that fire happened on the late June 2010 was used to validate the modified method. The results pointed out that the fire affected areas were located in high fire danger level on 26th, 27th, 28th June, 2010 respectively. The ROC analyses of the predicted accuracy on these days were 90.98 %, 73.79 % and 69.07 % respectively. Results from our investigation pointed out the reliability of the adopted method.