A methodology to estimate the extent of areas affected by forest fires, as well as the burn severity levels using Sentinel 2 images (10 and 20 m) is proposed and applied to the fires occurred in October 2017 in Spain and Portugal. An extension larger than 250,000 ha and 4 burn severity levels (low, moderate, high and very high) have been obtained. The comparison with the European Forest Fire Information System (EFFIS), which uses MODIS images (250 m), shows that the methodology improves the area estimate by 10 % in commission area. In terms of burn severity levels, the Separability index (SI) and the Kappa statistic (k) show a high correlation between Sentinel-2 and EFFIS (SI values higher than one in all cases and k higher than 0.69, respectively).

提出了一种使用Sentinel 2图像（10和20 m）估算受森林火灾影响的区域以及烧伤严重程度的方法，并将其应用于2017年10月在西班牙和葡萄牙发生的火灾。已经获得了超过250,000公顷的扩展范围和4种烧伤严重性级别（低，中，高和非常高）。与使用MODIS图像（250 m）的欧洲森林火灾信息系统（EFFIS）的比较表明，该方法可将委托面积的面积估算提高10％。就烧伤严重程度而言，可分离性指数（SI）和Kappa统计量（k）在Sentinel-2和EFFIS之间显示出高度相关性（在所有情况下，SI值均高于1，而k均高于0.69）。