浅谈辽宁省地理国情普查成果应用及服务方向展望

地理国情主要是指地表自然和人文地理要素的空间分布、特征及其相互关系,是基本国情的重要组成部分。目前,辽宁省已完成第一次全国地理国情普查工作,其成果应满足辽宁省经济社会发展和生态文明建设的需要,提高地理国情信息对政府、企业和公众的服务能力。本文从普查成果体系入手,阐述了辽宁省地理国情普查的成果应用,展望了服务方向。     

“高分二号”卫星在黄土地质灾害解译中的应用研究

黄土高原地区地质灾害多发频发,危害严重,应用亚米级的高分二号(GF-2)卫星影像数据,提取地质灾害信息,并对室内解译结果进行了野外查证。本文提出了以GF-2卫星数据为主要信息源,进行地质灾害解译的技术方案;并以宁夏南部黄土高原区为例,验证了该方法的适用性,为规模化地开展基于国产高分系列卫星的黄土高原地区地质灾害遥感解译提供了可行的技术方案;通过GF-2卫星影像与常用的国内外卫星数据用于地质灾害信息判释的对比研究,认为GF-2卫星影像对于地质灾害信息的识别能够满足地质灾害遥感解译的要求,GF-2卫星影像的应用具有较高的性价比和显著的经济社会效益。     

Spatially filtered ridge regression (SFRR): A regression framework to understanding impacts of land cover patterns on urban climate

Understanding the impacts of land cover pattern on the heat island effect is essential for sustainable urban development. Conventional model fitting methods have restricted ability to produce accurate estimates of the land cover‐temperature association due to the lack of procedures to address two important issues: spatial dependence in proximal spatial units and high correlations among predictor variables. In this study, we seek to develop an effective framework called spatially filtered ridge regression (SFRR) to estimate the variations in the quantity and distribution of land surface temperature (LST) in response to various land cover patterns. The SFRR effectively integrates spatial autoregressive models and ridge regression, and it achieves reliable parameter estimates with substantially reduced mean square errors. We show this by comparing the performance of the SFRR to other widely adopted models using Monte Carlo simulation followed by an empirical study over central Phoenix. Results highlight the great potential of the SFRR in producing accurate statistical estimates, providing a positive step toward informed and unbiased decision‐making across a wide variety of disciplines. (Code and data to reproduce the results in the case study are available at: https://github.com/cfan13/SFRRTGIS.git .)     

Shell model representation as a substitute of LoD3 for 3D modeling in CityGML

The OGC standard for 3D city modeling is widely used in an increasing number of applications.It defines five consecutive Levels of Detail(LoD0 to LoD4 with increasing accuracy and structural complexity),in which LoD3 includes all exterior appearances and geometrical details and subsequently requires much storage space.A new LoD is introduced as shell model with the exterior shell of the LoD3 model and the opening objects like windows,doors as well as smaller faade objects are projected onto walls.In this paper,a user survey is presented.The results of this survey show that the shell model can give users almost the same visual impression as the LoD3 model.Furthermroe,algorithms are developed to extract the shell model from LoD3 model.Experiments show that this shell model can reduce up to 90% storage of the original LoD3 model.Therefore,on one hand it can be used as a substitute for a LoD3 model for the visualization on small displays.On the other hand,it can be treated as a sub-level of detail(SLoD3) in CityGML,since it retains almost the same amount of information but requires much less storage space.     

基于LabVIEW及TCA2003的工程变形监测自动化及网络化

为了实时监测变形体的三维形变量,将现场监测数据实时传入计算机处理,并根据人工设定变形体形变量和形变速度的阈值,对变形体安全及稳定性做出及时判断和预警.利用图形化编程语言LabVIEW开发虚拟仪器以提供强大的界面可视化及连接仪器与计算机的功能,联合TCA2003智能全站仪的ATR功能,开发了一套变形监测自动化及网络化虚拟...     

顾及光谱畸变的高分辨率图像融合方法研究

使用高分辨率遥感图像进行像素级图像融合,在图像小波分解时,通过计算不同分解层数下得到的融合图像的熵来决定图像的小波分解层数;在图像小波重建时,引入局部相关系数,并在不同的分解层上设置不同的阈值进行有选择的高频系数替换,实现图像的像素级融合。并使用Quickbird全波段与多光谱数据进行试验,得到了分辨率高、光谱畸变微小的彩色融合图像。     

多尺度空间对象拓扑相似关系的表达与计算

研究了空间数据多尺度表达中,在进行模型综合时空间对象拓扑关系的表达、变化和相似性。基于空间对象之间拓扑关系的概念邻域,给出了空间对象拓扑关系相似性的定义以及在数字景观模型中拓扑关系相似性的度量方法,为空间数据的多尺度表达提供了拓扑关系分析和评价手段。     

关于新、旧北京1954坐标系统的转换与应用

国土部门在北京1954坐标系下,已完成大多数城镇的初始调查工作,并发放了相应的土地证等图件资料。而现在又需要在C级GPS网布设基础控制测量工作,这就产生了它们的坐标转换工作。这里举某市两种坐标转换和比较的实例,以供参考。     

测绘档案管理现代化的若干问题分析

在测绘科技快速发展的今天,建立现代化的测绘科技档案势在必行,但是目前测绘档案管理的方法和机制相对落后于测绘科技的发展。本文分析了测绘档案管理的现状和发展方向,在此基础上,指出了测绘档案管理的主要任务,以及测绘档案管理机构转型的必要性。     

一种基于网格的空间聚类方法在区域划分中的应用

区域划分是依据人口和社会经济指标将行政统计单元或其他地理实体划分成若干个不同水平或类别的集合。由于大多数的人口和社会经济指标来源于面状数据-行政统计单元,常用的区域划分的空间聚类方法是基于面状数据的,本文通过分析现有面状数据的聚类算法特点和不足,进而提出一种新的算法,该方法提出将面状统计单元进行网格划分,引入基于网格密度聚类算法的思想,克服现有面状聚类的诸多缺点,打破行政区划的限制,更好地发现潜在信息。