scholarly journals Development of geoportal for landslide monitoring

2012 ◽  
Vol 92 (4) ◽  
pp. 63-78
Author(s):  
Dubravka Sladic ◽  
Milan Vrtunski ◽  
Ivan Alargic ◽  
Aleksandra Ristic ◽  
Dusan Petrovacki
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Service Oriented Architecture ◽  
Reference Value ◽  
Landslide Monitoring ◽  
Alert System ◽  
Service Oriented ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The paper presents the implementation of geoportal for landslide monitoring which which includes two subsystems: a system for acquisition, storage and distribution of data on landslides and real time alert system. System for acquisition, storage and distribution of data on landslides include raster and vector spatial data on landslides affected areas, as well as metadata. Alert system in real time is associated with a sensor for detecting displacement, which performs constant measurements and signals in case of exceeding the reference value. The system was developed in accordance with the standards in the field of GIS: ISO 19100 series of standards and OpenGIS Consortium and is based on service-oriented architecture and principles of spatial data infrastructures.

scholarly journals Web System for Online and Onsite Usage of Geoinformation by Surveying Sector in Kosovo. Case Study: Ferizaj Municipality

2019 ◽  
Vol 4 (3) ◽  
pp. 230
Author(s):  
Bashkim Idrizi ◽  
Mirdon Kurteshi
Keyword(s):  
Information Systems ◽  
Web Services ◽  
Spatial Data ◽  
Service Oriented Architecture ◽  
Web Based ◽  
Data Infrastructure ◽  
Service Oriented ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The purpose of research to determine and contribute in more efficient services to geoinformation stakeholders, as well as to give positive impact on increasing income in geo business sector, voluntary based web system for online usage of geoinformation in Kosovo has been developed. The method used was puting in to one place many sourcec via WMS and WFS services, by creating thematic SDI, in order to have online system with dynamic data comming from official databases with update from last day on 5 pm. System is open for usage by all interested parts, however official registration is required. It contains geoinformation from many databases such as cadastral, orthophoto, municipal, and basemaps from open layers. The results show that the system is extendable and it is permanently including new datasets based on the user requirements. All available data is linked via web services, which gives an opportunity to users to use the updated version of datasets as they are published by responsible institution via www (world wide web). Keywords: web map, geoportal, geoinformation, web services, Kosovo References Alameh. N, (2010). Service chaining of interoperable Geographic Information Web Services. Global Science and Technology. Greenbelt, USA. Brimicombe, A.J. (2002). GIS-where are the frontiers now. GIS 2002. Bahrain. Bryukhanova, E. A., Krupochkin, Y. P., & Rygalova, M. V. (2018). Geoinformation technologies in the reconstruction of the social space of siberian cities at the turn of the 19–20th centuries (case study of the city of tobolsk). Journal of Siberian Federal University - Humanities and Social Sciences, 11(8), 1229-1242. doi:10.17516/1997-1370-0303 Chaudhuri, S. (2015). Application of Web Based Geographical Information Systems in e-business. Maldives. Davis, C.A. and Alves L.L. (2007). Geospatial web services, Vicosa, Brazil. ESRI. (2003). Spatial Data Standards and GIS interoperability. White paper. ESRI. CA. USA. Ferdousi, . and Al-Faisal, A. (2018). Urban and regional planning. Rajshahi University of Engineering and Technology. Rajshahi. Bangladesh. Gitis, V., Derendyaev, A., & Weinstock, A. (2016). Web-based GIS technologies for monitoring and analysis of spatio-temporal processes. International Journal of Web Information Systems, 12(1), 102-124. doi:10.1108/IJWIS-10-2015-0032 Glasze, G., & Perkins, C. (2015). Social and political dimensions of the OpenStreetMap project: Towards a critical geographical research agenda doi:10.1007/978-3-319-14280-7_8 Henzen, C. (2018). Building a framework of usability patterns for web applications in spatial data infrastructures. ISPRS International Journal of Geo-Information, 7(11) doi:10.3390/ijgi7110446 Idrizi, B. (2009). Developing of National Spatial Data Infrastructure of Macedonia according to global standardization (GSDI and INSPIRE) and local status. Conference of Nikodinovski.  Skopje. Macedonia. Idrizi, B. (2018). General Conditions of Spatial Data Infrastructure. International Journal on Natural and Engineering Sciences. Turkey. Idrizi, B. Sulejmani, V. Zimeri, Z. (2018). Multi-scale map for three levels of spatial planning data sets for the municipality of Vitia in Kosova. 7th ICC&GIS conference. Sozopol. Bulgaria. Mwange, C., Mulaku, G. C., & Siriba, D. N. (2018). Reviewing the status of national spatial data infrastructures in africa. Survey Review, 50(360), 191-200. doi:10.1080/00396265.2016.1259720 Nikolov, B. P., Zharkikh, J. I., Soloviev, A. A., Krasnoperov, R. I., & Agayan, S. M. (2015). Integration of data mining methods for earth science data analysis in GIS environment. Russian Journal of Earth Sciences, 15(4) doi:10.2205/2015ES000559 Sahin, K. and Gumusay, M.U. (2008). Service oriented architecture based web services for geographic information systems. The international archives of the remote sensing, photogrammetry and spatial information sciences. Vol XXXVII. Beijing. China. Sayar, A. (2008). GIS service oriented architecture. Community grids laboratory. IN, USA. Shi, S. (2015). Design and development of an online geoinformation service delivery of geospatial models in the united kingdom. Environmental Earth Sciences, 74(10), 7069-7080. doi:10.1007/s12665-015-4243-8 Siles, G., Charland, A., Voirin, Y., & Bénié, G. B. (2019). Integration of landscape and structure indicators into a web-based geoinformation system for assessing wetlands status. Ecological Informatics, 52, 166-176. doi:10.1016/j.ecoinf.2019.05.011 Ummadi, P. (2008). Standards and Interoperability in GIS, Michigan State University. MI, USA. Vorobev, A. V., & Shakirova, G. R. (2016). Web-based geoinformation system for exploring geomagnetic field, its variations and anomalies doi:10.1007/978-3-319-29589-3_2 Walter, V., & Sörgel, U. (2018). Implementation, results, and problems of paid crowd-based geospatial data collection. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 86(3-4), 187-197. doi:10.1007/s41064-018-0058-z   Copyright (c) 2019 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

scholarly journals Geospatial IoT—The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures

2018 ◽  
Vol 7 (10) ◽  
pp. 385 ◽  
Author(s):  
Matthes Rieke ◽  
Lorenzo Bigagli ◽  
Stefan Herle ◽  
Simon Jirka ◽  
Alexander Kotsev ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Event Driven ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Time Critical ◽  
Real Time Information ◽  
Time Information

The nature of contemporary spatial data infrastructures lies in the provision of geospatial information in an on-demand fashion. Although recent applications identified the need to react to real-time information in a time-critical way, research efforts in the field of geospatial Internet of Things in particular have identified substantial gaps in this context, ranging from a lack of standardisation for event-based architectures to the meaningful handling of real-time information as “events”. This manuscript presents work in the field of event-driven architectures as part of spatial data infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of spatial data infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches—developed in different research projects—to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall event-driven spatial data infrastructure.

scholarly journals SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH

2015 ◽  
Vol XL-1-W5 ◽  
pp. 293-296 ◽  
Author(s):  
S. Hasani ◽  
A. Sadeghi-Niaraki ◽  
M. Jelokhani-Niaraki
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Spatial Data ◽  
Service Oriented Architecture ◽  
Low Cost ◽  
Time Integration ◽  
Semantic Heterogeneity ◽  
Sources Of Information ◽  
Time Data ◽  
Service Oriented

In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.

scholarly journals GeoSpatial IoT - the Need for an Event-Driven Spatial Data Infrastructure

2018 ◽  
Author(s):  
Matthes Rieke ◽  
Lorenzo Bigagli ◽  
Stefan Herle ◽  
Simon Jirka ◽  
Alexander Kotsev ◽  
...  
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Spatial Data Infrastructure ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Event Driven ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Real Time Information ◽  
Time Information

The nature of contemporary Spatial Data Infrastructures lies in the provision of geospatial information in an on-demand fashion. Though recent applications identified the need to react to real-time information in a time-critical way. In particular, research efforts in the field of geospatial Internet of Things have identified substantial gaps in this context, ranging from a lack of standardization for event-based architectures to the meaningful handling of real-time information as ''events''. This manuscript presents work in the field of Event-driven Spatial Data Infrastructures with a particular focus on sensor networks and the devices capturing in-situ measurements. The current landscape of Spatial Data Infrastructures is outlined and used as the basis for identifying existing gaps that retain certain geospatial applications from using real-time information. We present a selection of approaches - developed in different research projects - to overcome these gaps. Being designed for specific application domains, these approaches share commonalities as well as orthogonal solutions and can build the foundation of an overall Event-driven Spatial Data Infrastructure.

scholarly journals SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)

2017 ◽  
Vol IV-4/W3 ◽  
pp. 21-28 ◽  
Author(s):  
D. Bhattacharya ◽  
M. Painho
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Smart Cities ◽  
Spatial Data Infrastructure ◽  
Sensor Data ◽  
Data Infrastructure ◽  
Intelligence System ◽  
Sensor Web ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC) keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2016 ◽  
Vol 7 (3) ◽  
pp. 1-37
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geographic Information Technologies ◽  
Web Architecture ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

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