Mapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: A case study in an urban–rural landscape in the Brazilian Amazon

This research explored the integrated use of Landsat Thematic Mapper (TM) and radar (i.e., ALOS PALSAR L-band and RADARSAT-2 C-band) data for mapping impervious surface distribution to examine the roles of radar data with different spatial resolutions and wavelengths. The wavelet-merging technique was used to merge TM and radar data to generate a new dataset. A constrained least-squares solution was used to unmix TM multispectral data and multisensor fusion images to four fraction images (high-albedo, low-albedo, vegetation, and soil). The impervious surface image was then extracted from the high-albedo and low-albedo fraction images. QuickBird imagery was used to develop an impervious surface image for use as reference data to evaluate the results from TM and fusion images. This research indicated that increasing spatial resolution by multisensor fusion improved spatial patterns of impervious surface distribution, but cannot significantly improve the statistical area accuracy. This research also indicated that the fusion image with 10-m spatial resolution was suitable for mapping impervious surface spatial distribution, but TM multispectral image with 30 m was too coarse in a complex urban–rural landscape. On the other hand, this research showed that no significant difference in improving impervious surface mapping performance by using either PALSAR L-band or RADARSAT C-band data with the same spatial resolution when they were used for multi-sensor fusion with the wavelet-based method.     

Signal acquisition of Luojia-1A low earth orbit navigation augmentation system with software defined receiver

Low Earth Orbit (LEO) satellite navigation signal can be used as an opportunity signal in the case of a Global Navigation Satellite System (GNSS) outage, or as ...     

工程测量研究现状与发展探讨

总结现代工程测量的主要研究成果,分析该研究领域存在的主要问题,探讨该领域的主要方向和技术增长点.     

基于UML的GIS空间数据管理系统的设计

GIS应用系统设计,是GIS软件开发的一个重要环节,介绍了基于UML的GIS空间数据管理系统的设计,用Rational Rose工具完成了系统的总体设计与详细设计,为该系统的进一步开发与实现提供了技术依据。     

Constructing a Near Real‐time Space‐time Cube to Depict Urban Ambient Air Pollution Scenario

This study adopts a near real‐time space‐time cube approach to portray a dynamic urban air pollution scenario across space and time. Originating from time geography, space‐time cubes provide an approach to integrate spatial and temporal air pollution information into a 3D space. The base of the cube represents the variation of air pollution in a 2D geographical space while the height represents time. This way, the changes of pollution over time can be described by the different component layers of the cube from the base up. The diurnal ambient ozone (O₃) pollution in Houston, Texas is modeled in this study using the space‐time air pollution cube. Two methods, land use regression (LUR) modeling and spatial interpolation, were applied to build the hourly component layers for the air pollution cube. It was found that the LUR modeling performed better than the spatial interpolation in predicting air pollution level. With the availability of real‐time air pollution data, this approach can be extended to produce real‐time air pollution cube is for more accurate air pollution measurement across space and time, which can provide important support to studies in epidemiology, health geography, and environmental regulation.     

基于地下水位变化的城市地面沉降确定性模型研究

依据有限元基本原理和土的渗流理论,推导出基于地下水位变化的确定性模型,并利用实测数据对所研究的模型的效果进行试验分析,结果表明该模型与实际情况吻合良好,模型精度高,且具有较好的预测效果。     

城乡一体化地籍建设的研究与探讨

本文介绍了现行地籍基础业务体系,在分析其存在的问题的基础上,提出了城乡一体化地籍建设的解决方案,并对建设目标、任务、内容进行了初步的研究与探讨.     

3S集成技术在城镇土地利用变更调查中的应用研究

城镇地区由于建筑物密集、土地利用类型变化快、土地利用现状图比例尺较大等特点,土地利用变更调查主要依靠专业部门利用全站仪完成,但全站仪需要通视的特点限制了其工作效率。而采用3S集成技术进行城镇地区土地利用变更调查的技术方法,则可以相应提高工作效率。基于3S集成技术城镇地区土地利用变更调查的应用模式为:通过GPS接收机与笔记本电脑(已配置GIS软件系统)通讯,实现GPS与GIS的集成,并调用RS影像作为底图,既可实现实时的数据采集、存储和编辑。对于城镇地区部分GPS信号弱的地区,采用测边交会的方法则可以完成这些点的数据采集,克服了GPS使用盲区的限制。     

基于GIS的生态质量气象评价建库方法研究

根据生态质量气象评价的要求和GIS建库的特点,研究了建立生态质量气象评价的数据库和评价模块的具体方法,并将此方法应用于海南省生态质量气象评价,结果表明利用GIS的建立生态质量评价数据库是可行的。     

Evaluating Local Non-Stationarity when Considering the Spatial Variation of Large-scale Autocorrelation

Multi‐scale effects of spatial autocorrelation may be present in datasets. Given the importance of detecting local non‐stationarity in many theoretical as well as applied studies, it is necessary to “remove” the impact of large‐scale autocorrelation before common techniques for local pattern analysis are applied. It is proposed in this paper to employ the regionalized range to define spatially varying sub‐regions within which the impact of large‐scale autocorrelation is minimized and the local patterns can be investigated. A case study is conducted on crime data to detect crime hot spots and cold spots in San Antonio, Texas. The results confirm the necessity of treating the non‐stationarity of large‐scale spatial autocorrelation prior to any action aiming at detecting local autocorrelation.