资源简介

摘要： 过火区域信息对灾后评估、保护和恢复生态系统具有重要意义。目前现有的过火区域提取方法实用性较弱。基于FY-3C MERSI卫星数据，充分利用过火区域的多种特征，通过显著性增强，创建了一种新的过火区域提取方法。以美国西北部两个过火区域为研究区，将3种对过火区域敏感的植被指数(NDVI、GEMI和NDVIT)和影像的显著性特征结合起来，对研究区中的过火区域进行增强、提取。通过对研究区中的过火区域人工目视解译，对实验结果进行验证，同时与NBR阈值法提取的结果进行比较。两个研究区中显著性增强法的Kappa系数达到了0.68以上，比NBR阈值法高0.2。实验证明显著性增强法提取的过火区域整体精度较高，非火灾引起的植被变化对其影响较少，与NBR阈值法相比该方法具有一定的稳定性。  关键词： FY-3C MERSI;  显著性增强;  过火区域     Abstract: The information of burned area is significant for post disaster assessment，ecosystems protection and restoration.So far，the existing detection methods of burned areas are less practical.Based on the FY\|3C MERSI satellite data，various characteristics of the burned area are fully utilized and a new method of burned area mapping is created through saliency enhancement.Two burned areas in the northwestern United States were selected as research areas.Three burned\|area\|sensitive vegetation indices(NDVI，GEMI and NDVIT) were combined with the saliency features of the images to enhance and extract the burned areas.Visual interpretations are used to evaluate the experimental results of the proposed method，and compared with the results of NBR threshold method.The results show that the kappa coefficient of the saliency enhancement method in the two research areas reaches more than 0.68，0.2 higher than NBR threshold method.Experiments show that the saliency enhancement method for mapping burned area is high，and the influence of vegetation change caused by non\|burned has little influence on it，and the method has a certain stability compared with the NBR threshold method.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.