scholarly journals СБОР И ПУБЛИКАЦИЯ ПРОСТРАНСТВЕННО-ВРЕМЕННЫХ ДАННЫХ ПО МАГИСТРАЛЬНЫМ ЭЛЕКТРИЧЕСКИМ СЕТЯМ РОССИИ НА ПРИМЕРЕ МОСКОВСКОЙ ЭНЕРГОСИСТЕМЫ

2022 ◽  
Author(s):  
Андрей Карпачевский ◽  
Герман Титов
Keyword(s):  
Google Earth ◽  
Web Map ◽  
Map Service

Электрические сети как предмет изучения географии транспорта на данный момент плохо освещены в отечественной и зарубежной литературе. С появлением высокодетальных космических снимков появилась возможность их использовать для сбора пространственных данных. Несмотря на попытки автоматизации распознавания ЛЭП на снимках, самый надёжный способ получения информации по-прежнему – визуальное дешифрирование. В рамках исследования проведён сбор пространственно-временной информации о магистральных электрических сетях на территории московской энергосистемы. Были использованы общедоступные данные дистанционного зондирования картографических веб-сервисов, а также архивные снимки с американских спутников Keyhole. В работе приведён пример изменения одного участка сети по снимкам за 1973 и 2018 годы. Сбор данных осуществляется с помощью Google Earth Pro и ArcGIS, анализ данных — скриптами модуля arcpy, подготовка данных к публикации – скриптами R, публикация данных в виде WMS (Web Map Service) выполняется с помощью QGIS Server. При анализе данные хранятся в базе геоданных ESRI, для публикации переводятся в открытый формат Geopackage Основной результат исследования доступен по адресу https://powerlines.one.

scholarly journals Correction of Very High-Resolution Satellite Images using Control Points Captured by Web Map Service (WMS) server: Google Earth

2020 ◽  
Vol 9 (8) ◽  
pp. 188-194
Keyword(s):  
Large Scale ◽  
Satellite Images ◽  
Google Earth ◽  
Ground Control ◽  
Control Points ◽  
Web Map ◽  
Ground Control Points ◽  
High Resolution Satellite Images ◽  
Map Scale ◽  
Map Service

The recent progress for spatial resolution of remote sensing imagery led to generate many types of Very HighResolution (VHR) satellite images, consequently, general speaking, it is possible to prepare accurate base map larger than 1:10,000 scale. One of these VHR satellite image is WorldView-3 sensor that launched in August 2014. The resolution of 0.31m makes WorldView-3 the highest resolution commercial satellite in the world. In the current research, a pan-sharpen image from that type, covering an area at Giza Governorate in Egypt, used to determine the suitable large-scale map that could be produced from that image. To reach this objective, two different sources for acquiring Ground Control Points (GCPs). Firstly, very accurate field measurements using GPS and secondly, Web Map Service (WMS) server (in the current research is Google Earth) which is considered a good alternative when GCPs are not available, are used. Accordingly, three scenarios are tested, using the same set of both 16 Ground Control Points (GCPs) as well as 14 Check Points (CHKs), used for evaluation the accuracy of geometric correction of that type of images. First approach using both GCPs and CHKs coordinates acquired by GPS. Second approach using GCPs coordinates acquired by Google Earth and CHKs acquired by GPS. Third approach using GCPs and CHKs coordinates by Google Earth. Results showed that, first approach gives Root Mean Square Error (RMSE) planimeteric discrepancy for GCPs of 0.45m and RMSE planimeteric discrepancy for CHKs of 0.69m. Second approach gives RMSE for GCPs of 1.10m and RMSE for CHKs of 1.75m. Third approach gives RMSE for GCPs of 1.10m and RMSE for CHKs of 1.40m. Taking map accuracy specification of 0.5mm of map scale, the worst values for CHKs points (1.75m&1,4m) resulted from using Google Earth as a source, gives the possibility of producing 1:5000 large-scale map compared with the best value of (0.69m) (map scale 1:2500). This means, for the given parameters of the current research, large scale maps could be produced using Google Earth, in case of GCPs are not available accurately from the field surveying, which is very useful for many users.

Web Feature Service (WFS) and Web Map Service (WMS)

2017 ◽  
pp. 2485-2488
Author(s):  
Christopher D. Michaelis ◽  
Daniel P Ames
Keyword(s):  
Web Map ◽  
Map Service

scholarly journals Performance Testing of Web Map Services tn three Dimensions – X, Y, Scale

2013 ◽  
Vol 21 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Dušan Cibulka
Keyword(s):  
Performance Testing ◽  
Service Performance ◽  
Performance Characteristics ◽  
Three Dimensions ◽  
Web Mapping ◽  
Practical Experiment ◽  
Web Map ◽  
Open Geospatial Consortium ◽  
Map Service ◽  
The Web

Abstract The paper deals with the performance testing of web mapping services. The paper describes map service tests in which it is possible to determine the performance characteristics of a map service, depending on the location and scale of the map. The implementation of the test is tailored to the Web Map Service specifications provided by the Open Geospatial Consortium. The practical experiment consists of testing the map composition acquired from OpenStreetMap data for the area of southwestern Slovakia. These tests permit checking the performance of services in different positions, verifying the configuration of services, the composition of a map, and the visualization of geodata. The task of this paper is to also highlight the fact that it is not sufficient to only interpret a map service performance with conventional indicators. A map service’s performance should be linked to information about the map’s scale and location.

Using Open Source Software Components to Implement a Modular Web 2.0 Design for Map-Based Discussions

2010 ◽  
Vol 2 (3) ◽  
pp. 30-47 ◽  
Author(s):  
Michael G. Leahy ◽  
G. Brent Hall
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Web Applications ◽  
Software Components ◽  
Modular Architecture ◽  
Group Discussions ◽  
Future Evolution ◽  
Web Map ◽  
New Generation ◽  
Map Service

This paper discusses the research-based origins and modular architecture of an open source geospatial tool that facilitates synchronous individual and group discussions using the medium of a Web map service. The software draws on existing open source geospatial projects and associated libraries and techniques that have evolved as part of the new generation of Web applications. The purpose of the software is discussed, highlighting the fusion of existing open source projects to produce new tools. Two case studies are briefly discussed to illustrate the value an open source approach brings to communities who would remain otherwise outside the reach of proprietary software tools. The paper concludes with comments on the project’s future evolution as an open source participatory mapping platform.

scholarly journals Integrating BIM and Web Map Service (WMS) for Green Building Certification

2016 ◽  
Vol 164 ◽  
pp. 503-509 ◽  
Author(s):  
Po-Han Chen ◽  
Thanh-Chuong Nguyen
Keyword(s):  
Green Building ◽  
Web Map ◽  
Map Service
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