Environmental Data Visualisation EnVIS – Linking Real-Time Sensor Data to Spatial Data Infrastructures for Web-Based Visualisation

2014 ◽  
pp. 293-304
Author(s):  
Christophe Lienert ◽  
Stefan Meier
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Environmental Data ◽  
Sensor Data ◽  
Data Visualisation ◽  
Web Based ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

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.

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 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 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 DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)

2016 ◽  
Vol III-4 ◽  
pp. 33-39
Author(s):  
D. Bhattacharya ◽  
M. Painho
Keyword(s):  
Spatial Data ◽  
Sensor Data ◽  
Future Research ◽  
Test Cases ◽  
Sensor Planning ◽  
Domain Specific ◽  
Sensor Web ◽  
Data Infrastructures ◽  
The Common ◽  
Spatial Data Infrastructures

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. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs and functions between Sensor Web and SDI, and Case studies like hazard applications, urban applications etc. We take up co-operative development of SDI best practices to enable a new realm of a location enabled and semantically enriched World Wide Web - the "Geospatial Web" or "Geosemantic Web" by setting up one to one correspondence between WMS, WFS, WCS, Metadata and 'Sensor Observation Service' (SOS); 'Sensor Planning Service' (SPS); 'Sensor Alert Service' (SAS); a service that facilitates asynchronous message interchange between users and services, and between two OGC-SWE services, called the 'Web Notification Service' (WNS). Hence in conclusion, it is of importance to geospatial studies to integrate SDI with Sensor Web. The integration can be done through merging the common OGC interfaces of SDI and Sensor Web. Multi-usability studies to validate integration has to be undertaken as future research.

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 DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)

2016 ◽  
Vol III-4 ◽  
pp. 33-39
Author(s):  
D. Bhattacharya ◽  
M. Painho
Keyword(s):  
Spatial Data ◽  
Sensor Data ◽  
Future Research ◽  
Test Cases ◽  
Sensor Planning ◽  
Domain Specific ◽  
Sensor Web ◽  
Data Infrastructures ◽  
The Common ◽  
Spatial Data Infrastructures

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. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs and functions between Sensor Web and SDI, and Case studies like hazard applications, urban applications etc. We take up co-operative development of SDI best practices to enable a new realm of a location enabled and semantically enriched World Wide Web - the "Geospatial Web" or "Geosemantic Web" by setting up one to one correspondence between WMS, WFS, WCS, Metadata and 'Sensor Observation Service' (SOS); 'Sensor Planning Service' (SPS); 'Sensor Alert Service' (SAS); a service that facilitates asynchronous message interchange between users and services, and between two OGC-SWE services, called the 'Web Notification Service' (WNS). Hence in conclusion, it is of importance to geospatial studies to integrate SDI with Sensor Web. The integration can be done through merging the common OGC interfaces of SDI and Sensor Web. Multi-usability studies to validate integration has to be undertaken as future research.

scholarly journals A GeoNode-Based Platform for an Effective Exploitation of Advanced DInSAR Measurements

2019 ◽  
Vol 11 (18) ◽  
pp. 2133 ◽  
Author(s):  
Sabatino Buonanno ◽  
Giovanni Zeni ◽  
Adele Fusco ◽  
Michele Manunta ◽  
Maria Marsella ◽  
...  
Keyword(s):  
Time Series ◽  
Spatial Data ◽  
Large Data ◽  
Interferometric Synthetic Aperture Radar ◽  
Geospatial Information ◽  
Web Based ◽  
Data Infrastructures ◽  
Open Geospatial Consortium ◽  
Spatial Data Infrastructures ◽  
Spatio Temporal

This work presents the development of an efficient tool for managing, visualizing, analysing, and integrating with other data sources, the deformation time-series obtained by applying the advanced differential interferometric synthetic aperture radar (DInSAR) techniques. To implement such a tool we extend the functionalities of GeoNode, which is a web-based platform providing an open source framework based on the Open Geospatial Consortium (OGC) standards, that allows development of Geospatial Information Systems (GIS) and Spatial Data Infrastructures (SDI). In particular, our efforts have been dedicated to enable the GeoNode platform to effectively analyze and visualize the spatio/temporal characteristics of the DInSAR deformation time-series and their related products. Moreover, the implemented multi-thread based new functionalities allow us to efficiently upload and update large data volumes of the available DInSAR results into a dedicated geodatabase. The examples we present, based on Sentinel-1 DInSAR results relevant to Italy, demonstrate the effectiveness of the extended version of the GeoNode platform.

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