AMSR-E数据散射与极化指数检测2008年1月中国南方冰雪灾害  

Detection of Snow and Frost in Southern China,January 2008 Using AMSR-E Scattering and Polarization Indices

作　　者：金亚秋[1] 陈昊[1] 谷松岩[2] 

机构地区：[1]复旦大学波散射与遥感信息教育部重点实验室,上海200433 [2]国家卫星气象中心,北京100081

出　　处：《遥感技术与应用》2009年第6期715-721,共7页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(40637033)

摘　　要：全天候全天时微波遥感是监测自然灾害的重要手段。星载被动微波遥感测量的多通道辐射亮度温度对全球和区域性天气与气候、大气降水、陆地水文、海面风场等物理信息的获取已发挥了重要的作用。2008年初中国通常温暖的南方发生暴雪和冰冻灾害,用业务运行的多通道辐射亮度温度算法产品却无法识别这一冰雪灾害。通过对积雪层的矢量辐射传输模拟,根据多通道微波扫描辐射计AMSR-E数据的散射与极化特征指数、往年同时期同地区正常条件下的平均特征指数以及先时特征指数的变化,构成新的判据流程,能有效地识别中国南方区域性冰雪自然灾害。All weather and all time microwave remote sensing is one of most effective means to monitor natural disasters.Multi-channel brightness temperature from satellite-borne passive microwave remote sensing has played important role to retrieve quantitative physical information on global and regional weather and climate,atmospheric precipitation,land hydrology,oceanic surface winds,etc.However,during serious snowing and frost in usually warming southern China,January 2008,the operational algorithm of multi-channel brightness temperature failed to detect the snowing. In this paper,based on simulation of vector radiative transfer of a layer of snow,we present the characteristic indices of scattering and polarization differences,average indices in previous year under normal situation,and change of antecedent index.A new logic tree is presented to effectively detect the regional snow and frost disaster in southern China.

关 键 词：被动微波遥感 多通道TB 极化指数 散射指数 积雪冰冻 判据流程 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]