地物波谱特性是遥感定量分析的基础, 也是遥感基础研究的重要内容。 干旱区绿洲典型地物光谱数据库对于遥感技术在土壤盐渍化方面的应用研究具有重要的意义。 该文以渭干河-库车河三角洲绿洲为例, 将.NET和SuperMap平台相结合, 用SQL Server数据库存储数据, 采用B/S模式, 使用C#语言设计并开发了地物光谱信息系统, 并针对干旱区绿洲的特点建立了典型地物光谱数据库。 该系统实现了对研究区典型地物光谱信息及其相关属性数据的分类存储和管理； 地图与属性数据的可视化双向查询； 地物光谱响应曲线的绘制； 导数光谱数据处理及曲线绘制, 初步具备了简单的光谱数据挖掘和分析能力, 为该地区后续土壤盐渍化研究提供了一个高效、 可靠、 便捷的数据管理和应用平台。 该系统容易维护, 便于二次开发, 实际运行状况良好。

The characteristic of object spectrum is not only the base of the quantification analysis of remote sensing, but also the main content of the basic research of remote sensing. The typical surface object spectral database in arid areas oasis is of great significance for applied research on remote sensing in soil salinization. In the present paper, the authors took the Ugan-Kuqa River Delta Oasis as an example, unified .NET and the SuperMap platform with SQL Server database stored data, used the B/S pattern and the C# language to design and develop the typical surface object spectral information system, and established the typical surface object spectral database according to the characteristics of arid areas oasis. The system implemented the classified storage and the management of typical surface object spectral information and the related attribute data of the study areas; this system also implemented visualized two-way query between the maps and attribute data, the drawings of the surface object spectral response curves and the processing of the derivative spectral data and its drawings. In addition, the system initially possessed a simple spectral data mining and analysis capabilities, and this advantage provided an efficient, reliable and convenient data management and application platform for the Ugan-Kuqa River Delta Oasis’s follow-up study in soil salinization. Finally, It’s easy to maintain, convinient for secondary development and practically operating in good condition.