面向生产的一体化空间数据模型

在分析了现有典型空间数据模型的基础上,提出了一种面向生产的一体化空间数据模型.该模型将实体的几何和拓扑信息紧密联系在一起,具有较强的空间表现力,能够实现空间数据的几何、属性和拓扑关系一致性的实时维护,并能支持GIS数据和制图数据的一体化生产.实践表明,采用该数据模型,有效地提高了空间数据生产的质量和效率.     

Internet/Intranet环境下分布式UGIS应用软件的开发

从理论上对分布式 UGIS软件的开发模式作了对比 ,同时对 WWW技术进行了剖析 ,结合 Arc/Info软件系列最新技术资料 ,提出了 Internet/Intranet环境下 UGIS软件开发的解决方案。     

世界航天遥感技术现状、发展趋势及油气遥感应用方向

世界航天遥感技术发展迅速,掌握卫星发射技术和具备卫星发射能力的国家越来越多,其中,高分辨率小型商业卫星和雷达卫星已经成为重要的遥感信息源;高光谱分辨率遥感将是现今和下个世纪的发展方向。本文总结了世界航天遥感技术现状,分析了今后的发展趋势,提出了油气遥感应用的研究方向     

基于变换域方法抑制线性调频干扰的GPS接收机设计

GPS接收机的信号通常很微弱,很容易受到有意或无意的干扰。对于线性调频干扰,在GPS接收机中很难用单一的时域或频域方法消除,因为线性调频干扰不同于一般的宽带或窄带干扰。另外线性调频干扰在变换域有不同于GPS C/A码的显著特征,基于此特点设计了一种在变换域抑制线性调频干扰的GPS接收机。分析了线性调频干扰在变换域的特征,仿真结果验证了这种设计方法的可行性。     

GPS单频机电离层延迟改正新算法

探讨了几种新的电离层延迟改正算法,通过算例检验了新方案的效率和可行性,对不同精度用户选取电离层延迟改正方案给出了建议。     

A formula for computing the gravity disturbance from the second radial derivative of the disturbing potential

 A formula for computing the gravity disturbance and gravity anomaly from the second radial derivative of the disturbing potential is derived in detail using the basic differential equation with spherical approximation in physical geodesy and the modified Poisson integral formula. The derived integral in the space domain, expressed by a spherical geometric quantity, is then converted to a convolution form in the local planar rectangular coordinate system tangent to the geoid at the computing point, and the corresponding spectral formulae of 1-D FFT and 2-D FFT are presented for numerical computation. Received: 27 December 2000 / Accepted: 3 September 2001     

高职GIS专业实践教学及实践基地建设

高职教育是GIS人才培养的重要组成部分。本文通过介绍职教GIS专业的建设，探索GIS实践教学与实践基地建设模式、方法及对人才培养的影响。     

GPS数据处理中IGS基准站的选取

IGS基准站的选取问题是目前GPS数据处理中讨论的热点问题。文中从基准站选取的几何意义、统计意义和物理意义3个方面分析讨论了IGS基准站的选取问题。并通过对理论及大量算例的分析，提出了IGS基准站选取的一般原则。     

数字城市规划系统关键技术分析

分析了数字城市规划系统的业务需求，介绍了其基础数据更新、工作流、无纸化办公、历史空间信息管理等主要关键技术，并对其进行了讨论。     

Mapping Wetland Areas Using Landsat-Derived NDVI and LSWI: A Case Study of West Songnen Plain,Northeast China

Increasing interest in wetlands for environmental management requires an understanding of the location, spatial extent, and configuration of the resource. The National Wetlands Inventory is the most commonly used data source for this information. However, its accuracy is limited in some contexts, such as agricultural and forested wetlands. An large number of studies have mapped wetlands worldwide from the perspective of land use and land cover change. However, information on the actual wetland planting areas annually is limited, which greatly impacts ongoing research. In this case study of the West Songnen Plain, we developed a simple algorithm for the quick mapping of wetlands by utilizing their unique physical features, such as annual display of phenological land-cover change of exposed soils, shallow flooding water, and plants from multi-temporal Landsat images. Temporal variations of the Normalized Difference Vegetation Index (NDVI) and Land Surface Water Index (LSWI) derived from Landsat images in 2010 for wetlands at different growth stages were analyzed. Results show that during the ante-tillering phase, the NDVI value (above zero) is lower than the LSWI value of paddies because of flooding of shallow water; during the reproductive and ripening phases, the NDVI value is higher than the LSWI value (above zero); and during the post-harvest wetland planting phase, the NDVI value is still higher than the LSWI value, but the LSWI value is negative. Wetland areas can be detected using one or two images in the optimum time window. The algorithm based on the difference of NDVI and LSWI values derived from Landsat images was used to extract the actual wetland planting area. Validated alongside statistical data, the algorithm showed high accuracy. Therefore, this algorithm highlights the unique features of wetlands and can help in mapping the actual wetland area annually on a regional scale. Results further indicate that the new method has a classification accuracy of 92 %. In comparison, two traditional methods based on Landsat-7/ETM registered accuracy rates of only 83 % and 87 % respectively.