基于CBERS遥感数据的云南安宁“3．29”火灾面积评估

以中巴资源卫星（CBERS）多波段数据及纹理均匀性指标、图斑变异性指标和地形因子作为森林火灾灾后模式识别指标，提取了云南安宁“3．29”重大森林火灾火烧迹地地图以及受害指标，结合地面样地数据对过火区域的受害程度进行了等级划分。通过对灾前森林分布图和过火程度区划图的叠加分析，统计出了各类林地的受害面积。结果表明“3．29”火灾过火面积1695．4hm^2（25 430．29亩），重度受害面积为518．6hm^2（7779．42亩），中度受害面积为508．5hm^2（7627．36亩），轻度受害积为668．2hm^2（10023．50亩）。地盘松过火面积最大，为796．3hm^2（11944．47亩），其次为栎类灌木，过火746．4hm^2（11195．43亩）。利用卫星遥感图像的自动识别处理算法，既可识别火场、又可识别森林受害程度，可以替代地面对坡勾绘与目视解译的传统火场调查方法。

DISASTER AREA ESTIMATION FOR FOREST-FIRE ON 29 MARCH IN ANNING YUNNAN USING REMOTELY SENSED DATA FROM CBERS

Multi-bands and index of the homogeneous texture from CBERS, index of the patches＇ variety and the factors of landform being taken as the spatial measures for pattem recognition of the forest-fires, the map of burned areas and the relevant indices of disaster level are extracted from the bum areas of forest-fire on 23 Match 2006 in Anning Yunnan. The parameters of damages are interpreted using the sampling plots from ground and the spatial measures. And the types of damage＇s level in the burned areas are classified. By overlaying the map of forest distribution on the map of the damage＇s level, the area of all kinds of forest types are evaluate＆ The results show that the total area of disaster is 1 695.4 hm^2, the area of the serious damage is 518. 6 hm^2, the medium damage is 508. 5 hm^2 and the light damage is 668. 2 hm^2. The biggest area of disaster is Pygmy Yunnan Pine, 796. 3 hm^2. Secondly, it is the community of oak＇s brush, 746. 4 hm^2. Using automatic pattern recognition algorithms of the satellite remote sensing image, it can identify the scope of the rue, but also can identify the degrees of the damaged forest And the method can replace the traditional ways of drafting in the opposite slope and manual interpretation.