Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

Abstract

The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables into a database. In order to run a series of logistic regression models, different random landslide-free sample sets were produced and combined with seed cells. Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters, lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by absolute methods. All models were field checked with the landslides resulting from the 12 November 1999, Kayna?li Earthquake (Ms = 7.2).     

Performance optimization of grid aggregation in spatial data warehouses

The problem of storage and querying of large volumes of spatial grids is an issue to solve. In this paper, we propose a method to optimize queries to aggregate raster grids stored in databases. In our approach, we propose to estimate the exact result rather than calculate the exact result. This approach reduces query execution time. One advantage of our method is that it does not require implementing or modifying functionalities of database management systems. Our approach is based on a new data structure and a specific model of SQL queries. Our work is applied here to relational data warehouses.     

基于Axure构建地理国情服务在线发布原型系统

针对如何合理有效地利用第一次地理国情普查与监测之后收集到的大量数据这一问题,天津市测绘院提出建设天津市地理国情服务在线发布系统,为减少系统研发过程中后期迭代开发的工作量,本文提出了系统开发前期进行原型设计的想法。在线发布原型系统主要实现系统的界面设计和交互设计中的逻辑操作,最终设计出一个高保真的原型系统供用户进行测试与评估。     

高分辨率遥感影像主干道路提取的感知编组方法

针对高分辨率遥感影像的道路提取受"同物异谱、同谱异物"干扰的问题,该文提出一种基于感知编组的高分辨率遥感影像主干道路自动提取方法:首先,使用Line Segment Detector算法提取影像中直线段信息。然后,利用高分辨率遥感影像上的道路几何特征对直线段进行感知编组;最后,经过长度约束得到道路信息。使用两景影像进行了主干道路提取实验。实验结果表明,两个实验中主干道路提取的完整率、正确率和检测质量都在96%以上。     

国家经济地图集基础地理框架的建立

以新世纪版《中华人民共和国国家经济地图集》的编研为背景,探讨了新世纪地学研究和测绘地理信息技术条件下经济地图集基础地理框架建立的若干问题。针对地图集的多尺度、多分辨率、多时态及内容的多样性等特点,通过对比与需求分析,重点探讨了地图集的地图投影、比例尺与分幅、地图定向及地理底图的设计与应用,并最终确定了地图集基础地理框架方案。     

一种复杂地理环境越野通行路径寻优算法

设计了基于障碍距离的优化算法,解决突发事件应急联动中复杂地理环境下最短路径的寻优求解问题。在详细分析地理空间高程、坡度、障碍物等空间信息的基础上,通过计算搜索空间、搜索方向和网络弧段权值构建网络拓扑关系网,并利用遗传算法对最优路径进行寻优求解。     

低空遥感数字影像的点特征提取算子的比较

低空遥感是遥感影像数据获取的重要手段之一,点特征是最常用的影像特征,目前存在多种点特征提取算法.本文根据低空遥感数字影像的特点和实际应用中的要求,利用探测速度、适应性、提取效能三个特征提取算法的比较标准对常用的点特征提取算子进行了比较.为针对不同特点的低空遥感数字影像,选择某点特征提取算法提供依据.     

我国测绘卫星现状与发展思考

测绘是卫星遥感应用的重要领域,纵观国内外测绘卫星事业,我国还与国际先进水平存在一定差距,整个卫星测绘产业体系有待发展和提高。资源三号卫星作为我国首颗民用立体测绘卫星对我国卫星测绘事业发展具有重大意义,国家测绘局编制的《测绘部门十二五航天规划（草案）》,详细论述了我国民用测绘卫星的发展规划。我国正处于测绘卫星及其应用发展的黄金机遇期,国家测绘局经多年研究开发,正在积极推动我国测绘卫星遥感事业的飞速发展,努力探索适合我国国情的自主研发道路,推动卫星测绘事业不断前进,为国民经济发展提供精确、及时、可靠的地理信息和测绘高新技术服务。     

市级基础测绘在城市应急服务中的应用

本文从市级基础测绘与城市应急系统的关系入手,分析了城市应急系统对基础测绘的需求．从而指导市级基础测绘工作更好地为城市应急服务。     

地理国情普查外业调绘核查系统实现

针对传统的基于纸质地图的外业调绘核查工作具有操作复杂、采集数据不精确、作业流程不规范等缺点,该文设计开发了基于iPad的地理国情普查外业调绘核查系统。在内业高精度遥感影像判读的基础上,采用全数字化的外业调绘核查技术,进行地理国情要素移动式、网络化外业调查和验证,快速采集和编辑调查数据,为外业工作提供了一套完整的解决方案。该系统在青岛市崂山区和城阳区的试点中已经得到广泛的应用,较好地验证了移动GIS技术用于外业信息采集的可行性。