Web Map Service

2011 ◽  
Keyword(s):  
Web Map ◽  
Map Service

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 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.

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

scholarly journals A web service based tool to plan atmospheric research flights

2011 ◽  
Vol 4 (3) ◽  
pp. 2123-2163
Author(s):  
M. Rautenhaus ◽  
G. Bauer ◽  
A. Dörnbrack
Keyword(s):  
Web Service ◽  
Cross Sections ◽  
Weather Prediction ◽  
Case Study Research ◽  
Forecast Model ◽  
Third Party ◽  
Atmospheric Research ◽  
Web Map ◽  
Using Data ◽  
Map Service

Abstract. We present a web service based tool for the planning of atmospheric research flights. The tool provides online access to horizontal maps and vertical cross-sections of numerical weather prediction data and in particular allows the interactive design of a flight route in direct relation to the predictions. It thereby fills a crucial gap in the set of currently available tools for using data from numerical atmospheric models for research flight planning. A distinct feature of the tool is its lightweight, web service based architecture, requiring only commodity hardware and a basic Internet connection for deployment. Access to visualisations of prediction data is achieved by using an extended version of the Open Geospatial Consortium Web Map Service (WMS) standard, a technology that has gained increased attention in meteorology in recent years. With the WMS approach, we avoid the transfer of large forecast model output datasets while enabling on-demand generated visualisations of the predictions at campaign sites with limited Internet bandwidth. Usage of the Web Map Service standard also enables access to third-party sources of georeferenced data. We have implemented the software using the open-source programming language Python. In the present article, we describe the architecture of the tool. As an example application, we discuss a case study research flight planned for the scenario of the 2010 Eyjafjalla volcano eruption. Usage and implementation details are provided as Supplement.

scholarly journals An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in-situ data

2011 ◽  
Vol 8 (1) ◽  
pp. 189-218 ◽  
Author(s):  
A. L. Gemmell ◽  
R. M. Barciela ◽  
J. D. Blower ◽  
K. Haines ◽  
Q. Harpham ◽  
...  
Keyword(s):  
International Standards ◽  
Distributed Model ◽  
Model Data ◽  
Web Portal ◽  
Web Map ◽  
In Situ Data ◽  
File Formats ◽  
Open Geospatial Consortium ◽  
Map Service

Abstract. As part of a large European coastal operational oceanography project (ECOOP), we have developed a web portal for the display and comparison of model and in-situ marine data. The distributed model and in-situ datasets are accessed via an Open Geospatial Consortium Web Map Service (WMS) and Web Feature Service (WFS) respectively. These services were developed independently and readily integrated for the purposes of the ECOOP project, illustrating the ease of interoperability resulting from adherence to international standards. The key feature of the portal is the ability to display co-plotted timeseries of the in-situ and model data and the quantification of misfits between the two. By using standards-based web technology we allow the user to quickly and easily explore over twenty model data feeds and compare these with dozens of in-situ data feeds without being concerned with the low level details of differing file formats or the physical location of the data. Scientific and operational benefits to this work include model validation, quality control of observations, data assimilation and decision support in near real time. In these areas it is essential to be able to bring different data streams together from often disparate locations.

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