浅谈用Excel对土石方计算成果报告进行优化处理

Excel在测量数据处理中经常被使用,对土石方计算成果报告进行优化处理时方便、快捷、清晰,一目了然,是值得推广的低碳测绘之经验。     

VB编程实现测量数据文件的批量处理

介绍了采用Visual Basic语言编程实现大批量、反复的、条理性的测量数据文件一次性处理的方法和技巧。批量处理数据,能够节省工作时间、减轻劳动强度、提高工作效率,还可减少人工错误、确保数据精度,值得推广。     

土地整理规划设计项目自动化处理的探讨

土地整理规划设计是土地管理工作的重要组成部分,而测绘是土地整理规划设计的重要工作。利用GIS技术开发土地整理规划设计软件,提高土地整理规划设计自动化处理水平,提升测绘在国土资源服务中的保障能力。     

数字化测绘的图形数据整理

由于数据标准滞后和技术手段局限等原因,以往传统的CAD图形数据已经不能满足GIS入库的要求,因此数据整理已成为测绘工作者面临的一个重要课题。在分析图形数据的现状及其存在问题的基础上,对数据整理技术要求和方法提出了探讨,仅供同行们参考。     

基于SuperMap IS.NET的地图网站设计与实现

地图网站是地理空间信息面向公众发布的最好形式。以湖南地图网(www.dzmap.cn)为例,介绍了基于SuperMap IS.NET的地图网站的服务定位、地图数据分析与处理,并讨论了网络地图发布平台架构、网络地图功能与属性数据库设计、数据更新等方面的设计与实现。     

GPS测量在巴郎沟水电站施工控制网中的应用

介绍了巴郎沟水电站GPS施工控制网的布设、基线处理及平差方法,分析了GPS施工控制网精度及基线粗差,实现了在隐蔽地区较高精度GPS施工测量的应用.     

地方独立坐标系统的建立及其实现

对建立地方独立坐标系统的原因、方法进行了分析,并借助于全球定位系统(GPS)的数据处理系统——TGO来实现,提出了两种GPS网在地方独立坐标系中的平差方法,同时结合实例给予验证。根据文中的方法,很容易实现国家坐标系统与地方独立坐标系统、不同坐标系统间的互换。     

滑坡GPS监测数据处理方法探讨

介绍了GPS在滑坡监测中数据处理的两种常用方法,分析了某滑坡监测实例,得出了在滑坡GPS监测中单基线法优于网平差法的结论.     

数字地图制图中多源数据(资料)的综合应用

探讨了数字地图制图中多源数据综合应用的技术方法,主要内容包括多源数据(资料)的分类、分析与评价;数据获取和基本的处理方法。最后介绍了利用TM影像、全国公路网GPS测量数据和数字海图等几种数据源制作1∶25万协同图的相关情况。     

Statistical analysis of surface urban heat island intensity variations: A case study of Babol city,Iran

The urban heat island is considered as one of the most important climate change phenomena in urban areas, which can result in remarkable negative effects on flora, concentration of pollutants, air quality, energy and water consumption, human health, ecological and economic impacts, and even on global warming. The variation analysis of the surface urban heat island intensity (SUHII) is important for understanding the effect of urbanization and urban planning. The objective of this study was to present a new strategy based on the Shannon’s entropy and Pearson chi-square statistic to investigate the spatial and temporal variations of the SUHII. In this study, Landsat TM, ETM+, OLI and TIRS images, MODIS products, meteorological data, topographic and population maps of the Babol city, Iran, from 1985 to 2017, and air temperature data recorded by ground recorder devices in 2017 were used. First, Single-Channel algorithm was used to estimate land surface temperature (LST), and the maximum likelihood classifier was employed to classify Landsat images. Then, based on LST maps, surface urban heat island ratio index was employed to calculate the SUHII. Further, several statistical methods, such as the degree-of-freedom, degree-of-sprawl and degree-of-goodness, were used to analyse the SUHII variation along different geographic directions and in various time periods. Finally, correlation between various parameters such as air temperature, SUHII, population variation and degree-of-goodness index values were investigated. The results indicated that the SUHII value increased by 24% in Babol over different time periods. The correlation coefficient yielded 0.82 between the values of the difference between the mean air temperature of the urban and suburbs and the SUHII values for the geographic directions. Furthermore, the correlation coefficient between the population variation and the degree-of-goodness index values reached 0.8. The results suggested that the SUHII variation of Babol city had a high degree-of-freedom, high degree-of-sprawl and negative degree-of-goodness.