首页 | 本学科首页   官方微博 | 高级检索  
     

干旱区土壤水分遥感反演与同化模拟系统研究
引用本文:张显峰, 赵杰鹏. 干旱区土壤水分遥感反演与同化模拟系统研究[J]. 武汉大学学报 ( 信息科学版), 2012, 37(7): 794-799.
作者姓名:张显峰  赵杰鹏
作者单位:1北京大学遥感与地理信息系统研究所,北京市颐和园路5号100871
基金项目:国家自然科学基金资助项目,国家科技支撑计划资助项目
摘    要:利用遥感反演和同化模拟方法估算大范围陆表土壤水分,建立了适用于干旱区的土壤水分反演模型。在.NET平台下运用C#、IDL与ArcEngine控件,对反演模型与同化模拟模型进行了软件实现,并集成为土壤水分遥感反演与同化模拟系统,为环保部门获取大范围土壤水分信息提供了支撑软件工具。

关 键 词:土壤水分  协同反演  VIC模型  集合卡尔曼滤波  数据同化
收稿时间:2012-04-25

System for Soil Moisture Retrieval and Data Assimilation from Remotely Sensed Data in Arid Regions
ZHANG Xianfeng, ZHAO Jiepeng. System for Soil Moisture Retrieval and Data Assimilation from Remotely Sensed Data in Arid Regions[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 794-799.
Authors:ZHANG Xianfeng  ZHAO Jiepeng
Affiliation:1 Institute of Remote Sensing and GIS,Peking University,5 Summer Palace Road,Beijing 100871,China
Abstract:This paper presents an approach to integrating remote sensing inversion and data assimilation to better estimate soil moisture over a large area.In support of the Microsoft.Net and ESRI ArcEngine,the C# and RSI/IDL are used to develop software modules to implement the models for soil moisture estimation from MODIS and AMSR-E data.A software package for soil moisture retrieval and data assimilation is developed by integrating the inversion modules,data assimilation modules and GIS modules.This application offers a tool for soil moisture estimation over a large area using remotely sensed data and proposed models,enabling related management departments to operationally map large-area soil moisture for assessing ecological and environmental quality.
Keywords:soil moisture  co-inversion VIC ensemble kalman filter data assimilation
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息
点击此处可从《武汉大学学报(信息科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号