基于A-Train卫星观测的沙尘暴数字重构技术研究

项目名称： 基于A-Train卫星观测的沙尘暴数字重构技术研究

项目编号： No.41305027

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 张北斗

作者单位： 兰州大学

项目金额： 26万元

中文摘要： 反演沙尘暴的垂直廓线、光学特性及内部结构在沙尘暴的研究中具有重要的意义；同时，获得沙尘暴所产生的沙尘气溶胶的空间分布状况及其时空演变规律对研究云、降水和气候变化具有重要的价值。针对A-Train卫星对地观测具备多平台、多传感器、多谱段的特点，利用CALIPSO星载激光雷达能够对沙尘暴进行"切片"，在垂直截面上获得沙尘暴的内部结构信息，融合MODIS提供高分辨率的可见光水平遥感图像。基于A-Train卫星多种观测资料，采用现代信息科学最新技术，发展计算机三维数字重构技术，对沙尘暴发生与传输过程中的卫星遥感图像进行数字图像分析与处理，进行沙尘暴的三维数字重构工作，反演出沙尘暴的立体结构及其时空运动变化状况，获得沙尘气溶胶的光学特性、浓度分布、运动传输的时空演变规律。为沙尘暴遥感监测、预报预警、模式开发提供可视化的数字动态分析系统。

中文关键词： 沙尘暴；遥感；卫星；激光雷达；气溶胶

英文摘要： Abstract: The retrieval of vertical profile, optical properties and internal structure of dust storm is of great significance in the study of dust storms. Meanwhile, acquiring dust aerosol spatial distribution and its temporal and spatial development regularity from dust storms has an important value in studying cloud, precipitation and climate change. A-Train satellites have multi-platform, multi-sensor and multi-spectral characteristics in observing the earth. CALIPSO spaceborne lidar can slice the dust storm and acquire internal structure information in the vertical section. And, MODIS provides high-resolution visible horizontal remote sensing image. Using multiple observation data of A-Train satellites and the latest fusion algorithm of information processing technology, we develop the computer three-dimensional reconstruction technique. Digital image processing technology is used for satellite remote sensing image in the process of dust storms, completing the three-dimensional visualization reconstruction of image sequences. We retrieve the three-dimensional structure and spatial and temporal changes of motion status, therefore acquiring optical properties, concentration distribution as well as temporal and spatial development regularity in the transport of dust aerosol. It provides visual technology-based

英文关键词： Dust Storm；Remote Sensing；Satellite；Lidar；Aerosol