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.
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.
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.
Citation: 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.

干旱区土壤水分遥感反演与同化模拟系统研究

System for Soil Moisture Retrieval and Data Assimilation from Remotely Sensed Data in Arid Regions

  • 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。

     

    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.

     

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