Remote Sensing Fire Danger Prediction Models Applied to Northern China

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.

[1]  Beniamino Murgante,et al.  Article in Press G Model International Journal of Applied Earth Observation and Geoinformation Multiscale Mapping of Burn Area and Severity Using Multisensor Satellite Data and Spatial Autocorrelation Analysis , 2022 .

[2]  R. Lasaponara Inter‐comparison of AVHRR‐based fire susceptibility indicators for the Mediterranean ecosystems of southern Italy , 2005 .

[3]  Rosa Lasaponara,et al.  Satellite Time Series and in Situ Data Analysis for Assessing Landslide Susceptibility after Forest Fire: Preliminary Results Focusing the Case Study of Pisticci (Matera, Italy) , 2013, ICCSA.

[4]  Zhao Fengjun,et al.  The fire Danger and Fire Regime for the Daxing’anling Region for 1987- 2010 , 2013 .

[5]  Rosa Lasaponara,et al.  Fisher-Shannon information plane analysis of SPOT/VEGETATION Normalized Difference Vegetation Index (NDVI) time series to characterize vegetation recovery after fire disturbance , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[6]  R. Burgan,et al.  Fuel Models and Fire Potential From Satellite and Surface Observations , 1998 .

[7]  Tiziana Simoniello,et al.  Detection of interannual variation of vegetation in middle and southern Italy during 1985-1999 with 1 km NOAA AVHRR NDVI data , 2001 .

[8]  E. Chuvieco,et al.  Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment , 2007 .

[9]  J. Marotzke,et al.  Will Greenland melting halt the thermohaline circulation? , 2006 .

[10]  L. Telesca,et al.  Pre‐ and post‐fire behavioral trends revealed in satellite NDVI time series , 2006 .

[11]  Rosa Lasaponara,et al.  Geospatial analysis from space: Advanced approaches for data processing, information extraction and interpretation , 2013, Int. J. Appl. Earth Obs. Geoinformation.