Supervised classification of electric power transmission line nominal voltage from high-resolution aerial imagery

For many researchers, government agencies, and emergency responders, access to the geospatial data of US electric power infrastructure is invaluable for analysis, planning, and disaster recovery. Historically, however, access to high quality geospatial energy data has been limited to few agencies because of commercial licenses restrictions, and those resources which are widely accessible have been of poor quality, particularly with respect to reliability. Recent efforts to develop a highly reliable and publicly accessible alternative to the existing datasets were met with numerous challenges – not the least of which was filling the gaps in power transmission line voltage ratings. To address the line voltage rating problem, we developed and tested a basic methodology that fuses knowledge and techniques from power systems, geography, and machine learning domains. Specifically, we identified predictors of nominal voltage that could be extracted from aerial imagery and developed a tree-based classifier to classify nominal line voltage ratings. Overall, we found that line support height, support span, and conductor spacing are the best predictors of voltage ratings, and that the classifier built with these predictors had a reliable predictive accuracy (that is, within one voltage class for four out of the five classes sampled). We applied our approach to a study area in Minnesota.     

典型断陷盆地流域生态系统服务价值时空差异研究

以典型断陷盆地——小江流域为研究对象,以1982年的TM影像、2003年的Landsat ETM+影像和2016年的Landsat OLI影像为数据源,结合云南省测绘局所提供的150 000的土地利用状况图,采用 Costanza 公式对生态系统服务价值进行评估,精细刻画出云南小江流域“盆—山”共存的地质分异结构下生态系统服务价值的时空变化特征。结果表明:（1）小江流域以农田生态系统为主,研究期内生态系统格局总体稳定,耕地、建设用地、林地和园地都有不同程度的增加,而未利用地面积减少,水域面积基本不变;（2）1982-2016年,研究区生态系统服务总价值呈上升趋势,1982、2003和2016年生态系统服务总价值分别为90.11×108元、105.65×108元和136.81×108元,耕地、林地、园地和水域的生态系统服务价值整体上升,而未利用地的生态系统服务价值减少;（3）整体上,小江流域南部和东部生态系统服务价值增加明显,而中部和西部地区生态系统服务价值呈阶段性变化或持续下降趋势,小江岩溶河谷区的生态系统服务价值最高,而沉积平坝区的生态系统服务价值密度最低,且为唯一一个衰退型生态系统服务功能区;（4）研究期内小江流域各项生态系统服务价值均呈上升趋势,调节服务居主导地位,且以气候调节服务价值最高。小江流域生态系统服务价值缺乏弹性,水域生态系统面积变化对研究区生态系统价值的变化具有放大作用。实施封山育林、退耕还林、小流域治理工程等石漠化综合治理工程可增加生态系统服务价值。      

APG:A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies

One important step in binary modeling of environmental problems is the generation of absence-datasets that are traditionally generated by random sampling and can undermine the quality of outputs.To solve this problem,this study develops the Absence Point Generation(APG)toolbox which is a Python-based ArcGIS toolbox for automated construction of absence-datasets for geospatial studies.The APG employs a frequency ratio analysis of four commonly used and important driving factors such as altitude,slope degree,topographic wetness index,and distance from rivers,and considers the presence locations buffer and density layers to define the low potential or susceptibility zones where absence-datasets are gener-ated.To test the APG toolbox,we applied two benchmark algorithms of random forest(RF)and boosted regression trees(BRT)in a case study to investigate groundwater potential using three absence datasets i.e.,the APG,random,and selection of absence samples(SAS)toolbox.The BRT-APG and RF-APG had the area under receiver operating curve(AUC)values of 0.947 and 0.942,while BRT and RF had weaker per-formances with the SAS and Random datasets.This effect resulted in AUC improvements for BRT and RF by 7.2,and 9.7％from the Random dataset,and AUC improvements for BRT and RF by 6.1,and 5.4％from the SAS dataset,respectively.The APG also impacted the importance of the input factors and the pattern of the groundwater potential maps,which proves the importance of absence points in environmental bin-ary issues.The proposed APG toolbox could be easily applied in other environmental hazards such as landslides,floods,and gully erosion,and land subsidence.     

内蒙古东南部暴雨洪涝灾害风险评估与区划——以通辽市为例

文章选取通辽市各气象站点气象数据、基础地理信息数据、历史灾情数据、第二次土地调查数据及相关社会经济等统计数据,基于自然灾害风险原理,利用数理统计、层次分析法及空间叠加分析等方法,提出了通辽市暴雨洪涝灾害风险评价指标体系,得到通辽市暴雨洪涝灾害风险评估空间分布图。结果表明:高风险区主要分布在通辽市北部山区、中东部地区及偏南部地区,包括扎鲁特旗鲁北镇、科尔沁区、科左中旗东南部及库伦旗东南部;而科左后旗大部地区易形成由短时强降水引发的洪涝,为次高风险区;低风险区及次低风险区主要分布在通辽市中部、西南部地区,包括开鲁县、奈曼旗北部、科左中旗西部。     

基于GIS的农村居民点分布特征及景观格局研究——以揭阳市为例

农村居民点作为乡村区域空间人口集聚形态的一种表现,是构成乡村聚落景观的一个重要部分,对其特征的分析研究对于推动城乡一体化建设和美丽乡村建设等政策的理论研究和实践开展和促进农村土地节约集约利用有重要意义.运用Ripley's K函数和ArcGIS 10.2中的核密度法来研究广东省揭阳市农村居民点的空间分布特征,建立河流和...     

数字地震台网文件自动传输系统的设计

为完善数字地震台网数据服务处理功能,使用DOS脚本及汇编语言,设计开发了网络文件自动传输系统--AFTFRSD Version 1.0,每天完成前台机地震实时数据自动传输到后台机.本系统可应用于各省数字地震台网中心.     

梅江河流域年均降雨量空间插值方法研究

分析了降雨空间分布的影响要素及降雨空间插值的主要方法,并在此基础上,利用地理信息系统(GIS)的空间分析功能,综合考虑高程、坡度、坡向等影响降雨空间分布的多种要素,应用协克里金方法,探讨流域降雨量的空间插值问题及其应用,并与反距离权重法、克里金方法等单要素方法进行了降雨空间插值的效果比较.结果表明:应用协克里金方法,在综合考虑高程、坡度、坡向等影响要素的条件下,对降雨进行空间插值,其结果具有比较好的精度.     

基于MapX和Oracle Spatial建立矿区土地复垦信息系统探讨

煤炭资源的开采破坏了大量的土地,加剧了人地矛盾,土地复垦是矿区可持续发展的重要内容之一.矿区土地复垦是一个边缘交叉学科,所需处理的数据涉及采矿、地质、地理、土壤、农林、生物、社会经济等众多领域,具有数据信息量大、相互关系复杂等特点.传统的数据处理方法已难以适应土地复垦发展的要求.主要研究了矿区土地复垦信息系统的主要功能,并分析了基于MapX和Oracle Spatial进行系统开发的关键技术.