Soil Information System Based on GIS Server in Lop Nur “Great Ear” area
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DOI:10.7606/j.issn.1000-7601.2010.05.43
Key Words: Lop Nur  GIS server  soil information system  network
Author NameAffiliation
YAN An Agriculture Informatization & Digital Agriculture Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China
Department for Development and Programming, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China 
JIANG Pingan Agriculture Informatization & Digital Agriculture Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China 
WU Hongqi Agriculture Informatization & Digital Agriculture Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China 
WANG Xinjun Agriculture Informatization & Digital Agriculture Research Center, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China 
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Abstract:
      In order to query soil information conveniently and master soil information data directly in different position of study site, it is necessary to integrate a mess of comprehensive soil information data and geospatial location organically in scientific investigation work. In this paper, an information system of soil, depended on GIS server, was developed based on the ArcGIS Server and the field-surveyed data which was collected in the “Great Ear” area of the Lop Nur Lake region in Xinjiang, China, during the period from 2003 to 2008. The system is based on Browser/Server stucture development model and the GeoDatabase data model was used to organize the various spatial and attribute data. Spatial data engine ArcSDE was applied to store the spatial and attribute data of soil uniformly in RDBMS. Components derived from the .NET and ArcGIS Serve were used to develop the WebGIS application layer and release the spatial and attribute data of soil online. The effect of application reveals that the users can conveniently obtain the spatial and information data of soil in the “Great Ear” area of the Lop Nur Lake region online, thus the management level and utilization efficiency of the researched data can be effectively improved, and a data support can be provided for further studying the salt crust and saline soil in the “Great Ear” area of the Lop Nur Lake region.