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用SPOT资料对大兴安岭特大火灾林火行为研究及对阿穆尔林业局蓄积损失估计
引用本文:李继泉,赵宪文,朱剑. 用SPOT资料对大兴安岭特大火灾林火行为研究及对阿穆尔林业局蓄积损失估计[J]. 林业科学研究, 1988, 0(6): 598-606
作者姓名:李继泉  赵宪文  朱剑
作者单位:中国林业科学研究院资源信息研究所(李继泉,赵宪文),中国林业科学研究院资源信息研究所(朱剑)
摘    要:本项研究以SPOT卫星标准假彩色合成影像和NOAA-AVHRR影像为主要信息源,采用影像的目视判读和局部地区计算机图像增强处理的方法,配合地形和气象资料对1987年5月6日至6月2日大兴安岭特大森林火灾的林火行为进行了研究。在SPOT影像判读勾绘的基础上,采用分层抽样技术并配合适量地面样地资料,对阿穆尔林业局森林火灾面积、强度及立木蓄积损失情况进行了估计。结果表明,应用SPOT和NOAA卫星资料研究森林火灾过程、林火行为和火灾损失估计,可快速、经济地获得所需信息并完全达到要求的精度。

关 键 词:遥感  林火行为  森林调查  蓄积量估测
收稿时间:1988-05-02

THE APPLICATION OF SPOT DATA IN RESEARCH OF FOREST FIRE BEHAVIOR AND ESTIMATION OF FOREST STOCK DAMAGE IN AMUER FOREST BUREAU
Li Jiquan,Zhao Xianwen and Zhu Jian. THE APPLICATION OF SPOT DATA IN RESEARCH OF FOREST FIRE BEHAVIOR AND ESTIMATION OF FOREST STOCK DAMAGE IN AMUER FOREST BUREAU[J]. Forest Research, 1988, 0(6): 598-606
Authors:Li Jiquan  Zhao Xianwen  Zhu Jian
Affiliation:The Research Institute of Forest Resource Information Techniques CAF
Abstract:The research refers to the application of standard SPOT false colour composite images and NOAA-AVHRR images as main information resource to analyse the forest fire behavior of Great Xingan Mountains worst forest fire which happened during 6th, May to 2nd, June, 1987. The analysis method is. using visual interpretation of the above mentioned remote sensing images and computer-assisted enhancement of special area images (for reference) combined with topographic and meteorological data; and on the basis of SPOT images visual interpretation and delineation, the general stratified sampling method and moderate ground sample plots enumeration are applied to estimate timber stock damage, forest fire area and its intensity in the Amuer Forest Bureau. The results show that the application of SPOT and NOAA-AVHRR data to research the process of forest fire, forest fire behavior and to estimate forest fire damage is a very effective method with which the necessary information can be obtained quickly and economically with requested precision.
Keywords:remote sensing  forest fire behavior  forest survey  stock volume estimation  
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