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被动微波遥感土壤水分反演研究综述
引用本文:毛克彪,唐华俊,周清波,陈佑启.被动微波遥感土壤水分反演研究综述[J].遥感技术与应用,2007,22(3):466-470.
作者姓名:毛克彪  唐华俊  周清波  陈佑启
作者单位:(1.农业部资源遥感与数字农业重点开放实验室/中国农业科学院农业资源与农业区划研究所,北京 100081;2.中国科学院遥感应用研究所北京师范大学遥感科学国家重点实验室,北京 100101;3.中国科学院研究生院,北京 100049)
基金项目:农业部资源遥感与数字农业重点开放实验室开放基金;国家高技术研究发展计划(863计划)
摘    要:由于微波具有全天候、穿透性以及不受云的影响等特征,使其在遥感研究全球变化中具有越来越大的优势。在微波传感器技术发展的过程中,人们通过研究发现被动微波遥感是反演土壤水分的各种技术中最有效的方法之一,而植被覆盖地区的土壤水分反演是反演算法中的难点。简略地介绍针对裸地的Q/P模型和针对植被的τ-ω模型,以及主要土壤水分反演算法。

关 键 词:辐射计  Q/P模型  τ-&omega  模型  
文章编号:1004-0323(2007)03-0466-05
收稿时间:2006-07-12
修稿时间:2006-07-122006-11-22

A Survey of Soil Moisture Retrieval by Passive Microwave Remote Sensing
MAO Ke-biao,TANG Hua-jun,ZHOU Qing-bo,CHEN You-qi.A Survey of Soil Moisture Retrieval by Passive Microwave Remote Sensing[J].Remote Sensing Technology and Application,2007,22(3):466-470.
Authors:MAO Ke-biao  TANG Hua-jun  ZHOU Qing-bo  CHEN You-qi
Affiliation:(1.Key Laboratory of Resources Remote Sensing and Digital Agriculture,MOA,Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing100081;2.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,; Beijing, 100101; 3.Graduate School of Chinese Academy of Sciences,Beijing100049)
Abstract:Microwave remote sensing is influenced slight by cloud and atmosphere,which makes it have more advantage in study of global changing.In the developing of microwave remote sensing,the microwave radiometry has been proved as one of the best methods to retrieve soil moisture during the last 25 years.However,many studies have shown that soil moisture is an important parameter in numerical weather-prediction model that lead to significant forecasting improvement in the physics of land surface processes on regional and global scales.But it is very difficult to obtain the soil moisture by ground measurement in both time and space,especially at large spatial scales.Thus satellite microwave owns these advantages.This paper introduces many modes and algorithms for retrieving soil moisture. The Q/P model is mainly suitable for bare soil and-model is mainly suitable for land surface covered by vegetation.There are two types retrieval algorithm are introduced.One is algorithm based on statistical method,and the other is based on forward model.Finally,the prospect of passive microwave for soil moisture retrieval is discussed with the development of microwave remote sensing technique.
Keywords:Microwave radiometry  Q/P model  τ-ωmodel  
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