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第四届“研究生人文教育与学术交流月”系列讲座—资源与环境学院讲座4

编辑:陈慧楠阅读次数:日期:2019-07-04

报告主题:Remotely sensing fuel properties: current state and future development for operational fire danger and behavior predictionn

报告人澳大利亚国立大学MARTA YEBRA 博士

报告时间:2019713日(周六)上10:00

报告地点:创新中心5D518会议室

主讲内容

Understanding and predicting fire danger and behaviour is a priority for fire and land management agencies. Fuel condition (e.g. fuel load, moisture content, and horizontal and vertical continuity) influences fire ignition and propagation. Estimating these fuel properties is, therefore, critical for assessing fire danger and behaviour but they are difficult to estimate, especially at regional to sub-continental scales. Remote sensing methods have

 quickly evolved, providing new opportunities to obtain up to date, spatially comprehensive estimates of fuel condition. For example, over larger areas, satellite observations are used to map forest fuel load and moisture content, while airborne and terrestrial Light Detection and Ranging (LiDAR) data, as well as photogrammetric range imaging techniques, are used at regional or local scales to derive information on fuel arrangement in structurally complex forest. In this lecture, I review the latest remote sensing technologies relevant to estimating fuel condition, with a particular focus on operational fire danger and behaviour prediction. I conclude with some recommendations on developments that are needed to address limits to these approaches and to further increase the usability of remote sensing derived products in fire management

主讲人简介:

Dr Marta Yebra is a Senior Scientist at the Centre for Water and Landscape Dynamics (Fenner School of Environment and Society), Program Director of the ANU Institute for Space and Associate editor for Remote Sensing of Environment. Her research focuses on using remote sensing data to monitor, quantify and forecast natural resources, natural hazards, and landscape function and health at local, regional and global scales.

 

 

主办单位:电子科技大学研究生院

承办单位:电子科技大学资源与环境学院