针对遥感模型与水热模型集成应用的需求,以C#语言结合ENVI/IDL和ArcGIS Engine混合编程技术,设计开发了地表蒸散发遥感监测系统的基本流程,对系统数据库设计及遥感模型与水热模型集成模式进行了研究,研发了单元蒸散发参数反演与结果校验功能,实现了遥感模型与水热模型的集成应用。系统对黄河三花间流域以MODIS遥感影像数据进行实验,很好地实现了地表蒸散发参数反演与校验功能,完成了蒸散发反演结果在时间与空间尺度上的扩展。实验结果表明,该系统人机交互友好、执行时间短、效率高,不仅独立完成了对部分地表蒸散发参数的提取任务,利用其蒸散发批处理功能,可有效地解决常用遥感软件在地表蒸散发反演过程中专题信息提取过程复杂繁琐的难点,具有较高的实用价值。
For the requirements of integrating the Energy and Water Balance model into the remote sensing model, in this paper we developed a basic technological process of land-surface evapotranspiration remote sensing monitoring system using C# language mixed with ENVI/IDL (which flexibility offered digital image processing) and ArcGIS Engine (which has powerful functions in spatial analysis), and designed the hydrometeorological and remote sensing information database and the pattern of integrating the Energy and Water Balance model into the remote sensing model. Then we researched the method of evapotranspiration (ET) unit derived and the function of regional ET evaluation based on multi spatial and temporal scales. By all of above, integration and application of the Energy and Water Balance model into the remote sensing model were implemented. The study area of this research is Sanhuajian basin which located in Yellow River. The process experimental data is MODIS (Moderate-resolution Imaging Spectroradiometer) image which date from August 2002 to August 2009. The system extracted the parameters related to ET which include surface temperature, water index, vegetation index, impervious surface and etc, and completed part of the land surface ET parameter extraction task. By using the modul of ET processing batch the system achieved the requirement of the ET derived completely. The report generated by the statistical report modul displayed the basic thematic statistical information and the remote-sensing monitoring thematic map information. The results show that this remote sensing monitoring system has the advantages of short execution time and high efficiency and friendly human-computer interaction, and it is helpful to solve the crux of complication processes in land surface ET estimation using routine remote sensing softwares, and it has been of great practical value.
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