Ruba Issa(1)*, Mona Ali Barakat(1) , Mohammad Manhal Alzoubi(2) and Ola Ali Merhej(3)
(1). Department of Soil and Water Science, Faculty of Agriculture, Tishreen, University, Latakia, Syria.
(2). Agriculture Scientific Research Center, Latakia, Syria.
(3). General Organization of Remote Sensing, Latakia, Syria.
(*Corresponding author: Ruba Issa: E-Mail: rubaessa99@gmail.com).
Received: 9/1/2024 Accepted: 3/4/2024
Abstract:
This study provides the Burnt Area Index (BAIS2), based on the spectral bands of Sentinel-2, to detect burned areas with a spatial accuracy of 10 meters. The index was tested on (30 sites exposed to fire) distributed over the four regions of Latakia Governorate (Latakia region, Qardaha area, Haffa area, Jableh region) that occurred on 9-10/10/2020, Through the application of the Separability index and the results were compared with the Normalized Burn Ratio (NBR) and the difference in the standard burn ratio (dNBR), which was studied in detail for the studied sites, and tested its accuracy according to the values of the composite index, The results of the spectral sensitivity assessment of the calculated indicators of the burned area showed a good performance of the burned area index, as the BAIS2 index showed a high discrimination ability for burned areas similar to the (NBR) index adopted in most studies. The study showed that the difference indicators (dBAIS2 and dNBR) gave high values to the separation index at all sites compared to the burnt area and standard burning indices which showed close values with a preference for the burned area index. According to the total accuracy of (89.56)% for the burned area index and (84.67)% for the standard burning index, Where the burnt area index distinguishes the burned areas in which the coal signal prevails, and has a high recognition ability for burned areas in the spectral range of the red range more than NBR, and these differences appeared when calculating the difference indicators (dBAIS2 and dNBR) as they depend on estimating the change in vegetation cover. The burnt zone difference index (dBAIS2) was higher in all locations and was the highest in Qardaha by (1.384). as well as the calculation of the coefficient of variation (C.V) for spectral indicators showed that the index of difference of the burned area (dBAIS2) gave the highest values of the coefficient of variance, as it exceeded 45% in all study sites and was the highest in the Qardaha area by (51.2)%.
Key words: Fire -Latakia governorate -Separability index (SI) -The Burned Area Index (BAIS2) -The Difference Burned area index (BAIS2) -The difference Normalized burn Ratio index (dNBR) -The Normalized burn Ratio index (NBR).
Full paper in Arabic: PDF