scholarly journals SPATIAL DATA INFRASTRUCTURE (SDI) IN OMAN AND QATAR – CURRENT STATUS AND PERSPECTIVES

2022 ◽  
Vol XLVI-4/W3-2021 ◽  
pp. 17-22
Author(s):  
K. Al Kalbani ◽  
A. Abdul Rahman ◽  
A. Abulibdeh ◽  
M. J. Sani ◽  
H. Rashidan
Keyword(s):  
Spatial Data ◽  
Industrial Revolution ◽  
Smart Cities ◽  
Spatial Data Infrastructure ◽  
Current Status ◽  
Data Infrastructure ◽  
The Status ◽  
Future Direction ◽  
2D And 3D ◽  
Near Future

Abstract. Urban infrastructure deals with various objects, such as multi-floor buildings, underground utilities, and other typical two-dimensional (2D) geographic information system (GIS) objects. Currently, Oman and Qatar authorities attempt to manage and handle all these spatial objects and features via spatial data infrastructure (SDI). Qatar has a long tradition of applying SDI, while Oman has made rapid progress in building SDI according to the current practices in this field. Governments in both countries work toward smart cities and e-government to meet the fourth industrial revolution requirements. Current literature, indicate that SDI could be considered a major building block for such smart initiatives in the near future. This paper describes the status and challenges of developing SDI (including 3D SDI) for Oman and Qatar. We anticipated these 2D and 3D SDI initiatives would eventually provide future direction for the smart city and e-government. The current status and challenges form major discussions of this paper. It also discusses 3D SDI development. This paper ends by describing a framework for implementing the 3D SDI. The outcomes could significantly improve the awareness for developing 3D SDI in Oman and Qatar.

scholarly journals DEVELOPMENT OF A FRAMEWORK FOR IMPLEMENTING 3D SPATIAL DATA INFRASTRUCTURE IN OMAN – ISSUES AND CHALLENGES

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 243-246
Author(s):  
K. Al Kalbani ◽  
A. Abdul Rahman ◽  
T. Al Awadhi ◽  
F. Alshannaq
Keyword(s):  
Spatial Data ◽  
The State ◽  
Spatial Data Infrastructure ◽  
Geospatial Data ◽  
Data Infrastructure ◽  
2D And 3D

<p><strong>Abstract.</strong> The paper reviews that there are several issues and challenges in order to implement full 2D and 3D Spatial Data Infrastructure (SDI) in Oman. The state of current 2D SDI and 3D geospatial data has been investigated. Currently, Oman has made noticeable progress in 2D SDI but not yet in 3D domain. To date, there are no serious efforts and initiatives by the authority to materialize the 3D SDI. This paper ends by describing a framework for implementing the 3D SDI. We expect, these issues and challenges of 3D SDI in Oman can prompt better services for several potential users.</p>

scholarly journals NEW COMPETENCES IN ACADEMIC EDUCATION THROUGH REALISATION OF THE BESTSDI AND EO4GEO PROJECTS

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Željko Bačić
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Smart Cities ◽  
Earth Observation ◽  
Spatial Data Infrastructure ◽  
Academic Education ◽  
Data Infrastructure ◽  
Solution Approach ◽  
Global Challenge ◽  
Erasmus Programme

Development of Earth observation technologies from Space and air which are enabling intensive use of spatial information and Spatial data infrastructure which regulates usage of spatial information, respectively also concepts like Internet of things, Smart cities, Precise farming, Intelligent transportation and similar, impose on academic society necessity to redefine competences which students of bright variety of study programmes must overmaster during their study. In the frame of European Union Erasmus+ programme is, among other, initated two projects which goal is to solve this global challenge. The EO4GEO project aim is to define Earth observation from Space and air competences on the European level, while the BESTSDI project aim is to define Spatial data infrastructure competences on the regional level. Content of those projects, solution approach obstinance, methodology and their goals, respectively also expected effects on study programmes are shown in this paper.

scholarly journals Augmented Smart Cities Integrating Sensor Web and Spatial Data Infrastructure (SmaCiSENS)

2017 ◽  
Author(s):  
Devanjan Bhattacharya ◽  
Marco Painho
Keyword(s):  
Spatial Data ◽  
Climate Modeling ◽  
Smart Cities ◽  
Spatial Data Infrastructure ◽  
Sensor Data ◽  
Global Changes ◽  
Multiple Sources ◽  
Data Infrastructure ◽  
Management Platform ◽  
Sensor Web

Spatio-temporal aspects of data lead to critical information. Sensors capture data at all scales continually so it is imperative that useful information be extracted ubiquitously and regularly. Location plays a vital part by helping understand relations between datasets. It is crucial to link developmental works with spatial attributes and current challenge is to create an open platform that manages real-time sensor data and provides critical spatial analytics atop expert domain knowledge provided in the system. That is a two-faced problem where the solution tackles not only data from multiple sources but also runs data management platform, a spatial data infrastructure(SDI) as backbone framework able to harness sensor web(SW). The paper proposes development of such a globally shared open spatial expert system(ES), SmaCiSENS, a first of a kind geo-enabled knowledge based(KB) ES for multiple fields, smarter cities to climate modeling. SmaCiSENS is integration of SW and SDI with domain KB on data and problems, ready to infer solutions. The paper describes an architecture for semantic enablement for SW, SDI; connect interfaces, functions of SDI and SW, and sensor data application program interfaces (APIs) to better manage climate modeling, geohazard, global changes, and other vital areas of attention and action.

scholarly journals City - Scale Spatial Data Infrastructure for Solar Photovoltaic Energy Generation Assessment

2018 ◽  
Vol 7 (3.34) ◽  
pp. 4
Author(s):  
R Gowri Shankar Rao ◽  
N K. Rayaguru ◽  
N G.Renganathan ◽  
Sunil Kumar Thakur
Keyword(s):  
Spatial Data ◽  
Smart Cities ◽  
Vital Role ◽  
Spatial Data Infrastructure ◽  
Urban Region ◽  
Successful Implementation ◽  
Solar Pv ◽  
Data Infrastructure ◽  
Solar Systems ◽  
Political Governance

Spatial data plays an vital  role in decision-making for development of smart cities.  As it is very evident that  the development of   smart and sustainable city  mainly depends on its physical infrastructure such as intelligent transportation, smart energy, smart metering etc., This paper  provides an analysis  which aims  using the  spatial data infrastructure  tools  for estimation of  the  region  based  solar PV potential  generation  for a specific urban region . This analysis would afford a great insight in deciding a city scaled potential energy production and planning,  an estimate of the geographical PV potentials for solar power generation is adopted.  The total PV potential is evaluated for  a specific defined area and compared with the local electricity demand. The outcomes comprise of an initial valuation of the town's solar potential that can be used to upkeep organization decisions regarding reserves in solar systems.  Successful implementation of SDI  finally depends on the political governance and  their framing policies.

scholarly journals Analysis of the cadastral data published in the Polish Spatial Data Infrastructure

2017 ◽  
Vol 66 (2) ◽  
pp. 227-240 ◽  
Author(s):  
Waldemar Izdebski
Keyword(s):  
Spatial Data ◽  
Spatial Databases ◽  
Poor Performance ◽  
Primary Objective ◽  
Spatial Data Infrastructure ◽  
Data Publishing ◽  
Easy Access ◽  
Data Infrastructure ◽  
The Status ◽  
The Moment

Abstract The cadastral data, including land parcels, are the basic reference data for presenting various objects collected in spatial databases. Easy access to up-to-date records is a very important matter for the individuals and institutions using spatial data infrastructure. The primary objective of the study was to check the current accessibility of cadastral data as well as to verify how current and complete they are. The author started researching this topic in 2007, i.e. from the moment the Team for National Spatial Data Infrastructure developed documentation concerning the standard of publishing cadastral data with the use of the WMS. Since ten years, the author was monitoring the status of cadastral data publishing in various districts as well as participated in data publishing in many districts. In 2017, when only half of the districts published WMS services from cadastral data, the questions arise: why is it so and how to change this unfavourable status? As a result of the tests performed, it was found that the status of publishing cadastral data is still far from perfect. The quality of the offered web services varies and, unfortunately, many services offer poor performance; moreover, there are plenty services that do not operate at all.

scholarly journals INSPECTORMAP: A Spatial Data Infrastructure Applied to the Maintenance of Solar Plants Using Free Satellite Imagery

2021 ◽  
Vol 12 (1) ◽  
pp. 70
Author(s):  
Esteban Ruiz de Oña ◽  
María Sánchez-Aparicio ◽  
Susana Del Pozo ◽  
Diego González-Aguilera
Keyword(s):  
Spatial Data ◽  
Clean Energy ◽  
Spatial Data Infrastructure ◽  
Urban Centers ◽  
Correct Operation ◽  
Data Infrastructure ◽  
The Status ◽  
Photovoltaic Plant ◽  
Photovoltaic Plants ◽  
Bodies Of Water

Photovoltaic solar plants are one of the main facilities away from urban centers for the generation of clean energy. Since its appropriate maintenance ensures its suitable operation, optimizing their maintenance tasks in a preventive way is key. This article presents a spatial data infrastructure called INSPECTORMAP that, based on the analysis of free satellite images within the optical spectrum, can detect unusual vegetation and bodies of water in the vicinity of photovoltaic plants that can affect their correct operation. Thanks to the implementation of a monitoring and alert system, it is possible to know and map the status of the photovoltaic plant in terms of unusual coverages appearing, both natural and artificial, at any moment. Thus, maintenance workers would travel to the solar plant to carry out their maintenance tasks in this regard only when the system detects a risk.

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.

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