1. College of Resources and Environment Sciences,Xinjiang University,Urumqi 830046,China 2. Key Laboratory of Oasis Ecology under Ministry of Education,Xinjiang University,Urumqi 830046,China
Abstract: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.
Key words:WebGIS;Spectral library;Spectral information system;SuperMap;.NET
夏 军1,2,塔西甫拉提·特依拜1,2*,张 飞1,2,姬洪亮1,2 . 基于.NET和SuperMap的干旱区Web典型地物光谱信息系统的设计与实现[J]. 光谱学与光谱分析, 2011, 31(07): 1878-1883.
XIA Jun1,2,TASHPOLAT·Tiyip1,2*,ZHANG Fei1,2,JI Hong-liang1,2 . Spectral Information System in Arid Areas Based on .NET and SuperMap. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(07): 1878-1883.