您的位置：首页 > 论文页面
森林火灾严重程度遥感估测模型的比较研究
发表时间：2016-08-15 浏览量：2235 下载量：535
| 全部作者： | 琚存勇，雷成亮，邸雪颖 |
| 作者单位： | 东北林业大学林学院；国家林业局濒危物种进出口管理办公室 |
| 摘 要： | 多光谱卫星数据正作为一种生态系统变化检测的辅助工具被广泛应用，用相同波段或指数的不同时相差值评价森林火灾严重程度的研究也越来越多。本研究以发生于2006年的大兴安岭松岭地区砍都河特大森林火灾过火区为例，与当前流行的森林火灾严重程度的遥感估测方法进行比较。结果表明，不同的遥感估测模型以二次多项式模型的精度最高，遥感指数则是归一化燃烧比（normalized burned ratio，NBR）的估测能力最好。遥感数据不同的处理水平虽然影响森林火灾严重程度遥感估测模型的精度，但差别不大。 |
| 关 键 词： | 林业遥感；归一化燃烧比；模型；森林火灾严重程度 |
| Title： | Comparison of remotely sensed forest burn severity estimation |
| Author： | JU Cunyong, LEI Chengliang, DI Xueying |
| Organization： | School of Forestry, Northeast Forestry University; Management Office for Import and Export of Endangered Species, State Forestry |
| Abstract： | Multispectral satellite data is regarded as a useful tool for ecosystem change detection, especially the temporal difference of the same bands and indices were increasingly applied to estimate forest fire severity. In this paper, we compared the different popular methods of estimating burn severity in Kandu river burned area located in Daxing’anling mountains. The results showed that the quadratic polynomial model had the best accuracy among three models. The normalized burned ratio (NBR) performed better than the differenced normalized burn ratio (dNBR) and relative dNBR. In addition, although the remote sensing data with different processed levels influenced on the accuracy of burn severity estimating model, but the effect of different processed levels on accuracy was small in terms of amount. |
| Key words： | forestry remote sensing; normalized burned ratio; model; forest burn severity |
| 发表期数： | 2016年8月第15期 |
| 引用格式： | 琚存勇，雷成亮，邸雪颖. 森林火灾严重程度遥感估测模型的比较研究[J]. 中国科技论文在线精品论文，2016，9（15）：1502-1506. |
2
评论数 0请您登录
暂无评论
下载全文
多维论文