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 Mecanismos de articulación de infraestructuras de datos espaciales y programas de observación de la tierra [Spatial data infrastructure and earth observation joint mechanisms]

2010 ◽  
Author(s):  
Lilia Patricia Arias Duarte ◽  
Luis Joyanes Aguilar ◽  
Sandra Patricia Rincón Méndez
Keyword(s):  
Decision Making ◽  
European Community ◽  
Spatial Data ◽  
Spatial Information ◽  
Subsequent Development ◽  
Earth Observation ◽  
Spatial Data Infrastructure ◽  
Observation System ◽  
Data Infrastructure ◽  
Toma De Decisiones

Resumen Las Infraestructuras de Datos Espaciales (IDE) y los Programas de Observación de la Tierra (PoT) se presentan hoy día como una importante herramienta de apoyo en la toma de decisiones, debido a la necesidad de afrontar problemas globales y complejos como el cambio climático, la atención y prevención de desastres naturales y el desabastecimiento alimenticio, entre otros. A partir de la necesidad de desarrollar sistemas de información que permitan compartir información relevante, incluyendo la proveniente de las tecnologías de observación de la Tierra (oT), se originan importantes iniciativas a nivel global, como Infrastructure for Spatial Information in the European Community – Inspire y el subsecuente desarrollo de las IDE nacionales y el Sistema Global de Sistemas de Observación de la Tierra - GEOSS que recoge lo adelantado en el tema por diversos países y regiones. Estos avances han planteado una serie de mecanismos de articulación entre las IDE y la oT, los cuales pueden impulsar aún más el avance de los temas, redundando en beneficios para los usuarios y por ende para los procesos de toma de decisiones. Palabras ClaveInfraestructura de Datos Espaciales, Observación de la Tierra, toma de decisiones.   Abstract Spatial Data Infrastructures (SDI) and Earth Observation Programs are presented today as an important tool to support decision making, due to the need to tackle complex global problems like climate change, care and prevention of natural disasters and food shortages, among others. From the need to develop information systems for sharing relevant information, including technologies from Earth Observation (EO), originate important global initiatives such as Infrastructure for Spatial Information in the European Community - Inspire and the subsequent development of national SDIs and the Global Earth Observation System of Systems - GEOSS which includes the advanced in the subject by some countries and regions. These developments have raised a number of mechanisms linking SDI and EO, which may further stimulate the progress of the issues, resulting in benefits to users and therefore to the decision-making processes.Keywords Spatial Data Infrastructure, Earth Observation, decision-making.

scholarly journals Διαμόρφωση βασικών παραμέτρων σχεδιασμού και υλοποίησης της Ελληνικής Εθνικής Υποδομής Γεωχωρικών Πληροφοριών

2015 ◽  
Author(s):  
Παναγιώτης Τζιαχρής
Keyword(s):  
European Community ◽  
Spatial Data ◽  
Spatial Information ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure

Αντικείμενο της παρούσας διδακτορικής διατριβής είναι η μελέτη της Υποδομής Γεωχωρικών Πληροφοριών (ΥΓΕΠ, Spatial Data Infrastructure - SDI) ειδικά για την περίπτωση της Ελλάδας και η πρόταση διαμόρφωσης βασικών παραμέτρων σχεδιασμού και υλοποίησης της, με την δόμηση και αξιοποίηση ενός "Μοντέλου Σύνθεσης Τάσεων". Επιπλέον, καταγράφει την υφιστάμενη προσέγγιση από την εδαφολογική επιστημονική κοινότητα, των Ελληνικών αγροτικών εδαφολογικών δεδομένων και την συγκρίνει με τις απαιτήσεις του νόμου 3882/2010 για την Ελληνική Εθνική ΥΓΕΠ (ΕΥΓΕΠ) και της Ευρωπαϊκής ΥΓΕΠ (Infrastructure for Spatial Information in the European Community, INSPIRE). Τέλος αξιοποιώντας τα θεωρητικά συμπεράσματα της παρούσας διατριβής, παραθέτει δυο διαφορετικές προσεγγίσεις (τεχνοκεντρική, κοινωνικοτεχνική) ενσωμάτωσης και αξιοποίησης των Ελληνικών εδαφολογικών δεδομένων σε μια μελλοντική Ελληνική ΕΥΓΕΠ, προκρίνοντας ωστόσο την κοινωνικοτεχνική ως πιο πιθανά βιώσιμη και επιτυχημένη, καθώς και πιο συμβατή τόσο με την σύγχρονη θεωρία όσο και με τα αποτελέσματα της παρούσας διατριβής.

Organizing earth observation data inside a spatial data infrastructure

2016 ◽  
Vol 10 (1) ◽  
pp. 55-68 ◽  
Author(s):  
Markus Innerebner ◽  
Armin Costa ◽  
Ekaterina Chuprikova ◽  
Roberto Monsorno ◽  
Bartolomeo Ventura
Keyword(s):  
Spatial Data ◽  
Earth Observation ◽  
Spatial Data Infrastructure ◽  
Observation Data ◽  
Data Infrastructure ◽  
Earth Observation Data

scholarly journals THREE-DIMENSIONAL DIGITIZATION OF ENVIRONMENTS AND BUILDINGS FOR SMART CITY APPLICATIONS

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 65-71
Author(s):  
C. Altuntas
Keyword(s):  
Spatial Data ◽  
Smart City ◽  
Urban Areas ◽  
Spatial Information ◽  
Smart Cities ◽  
Low Cost ◽  
Measurement Techniques ◽  
Night Time ◽  
Data Infrastructure ◽  
Cloud Data

Abstract. The smart cities that promise a sustainable future cannot be thought of independently from the spatial information infrastructure. It is very important to keep the spatial data infrastructure up-to-date for guidance and information in smart city applications (SCA). Easy and low-cost acquisition is an important factor in updating spatial data. Today, there are many measurement techniques to collecting 3-D spatial data of urban areas and land topography. On the other hand, indoor measurement and 3-D modelling techniques are used in the creation of building information modelling (BIM). In this study, measurement techniques that provide 3-D point cloud data to SCA are examined. Consequently, image based photogrammetry and dense matching methods enable low cost measurement than LiDAR based active measurement. The active 3-D measurement techniques have high accuracy especially for mid and long ranges. The LiDAR, that can be applied at day or night time, offer more opportunity to performing SCA like autonomous vehicle and robotic navigations. Nevertheless, LiDAR can only capture structure, not texture, and therefore has limits to the types of data that it can capture. The LiDAR and image based methods are complement to each other in 3-D reality capture. The 3-D measurement techniques are exploited according to SCA as alone or together.

scholarly journals A Framework for Evaluation of Marine Spatial Data Geoportals Using Case Studies

2014 ◽  
Vol 60 (4) ◽  
pp. 9-18 ◽  
Author(s):  
Marina Tavra ◽  
Vlado Cetl ◽  
Tea Duplančić Leder
Keyword(s):  
Web Services ◽  
Case Studies ◽  
Spatial Data ◽  
Spatial Information ◽  
Spatial Data Infrastructure ◽  
The Internet ◽  
Data Standards ◽  
Data Infrastructure ◽  
Business Information ◽  
Different Levels

Abstract Need for a Marine Spatial Data Infrastructure (MSDI) as a component of a National Spatial Data Infrastructure (NSDI) is widely recognized. An MSDI is relevant not only for hydrographers and government planners, but also for many other sectors which takes interest in marine spatial data, whether they are data users, data providers, or data managers [9]. An MSDI encompasses marine and coastal geographic and business information. For efficient use of Marine Spatial Data, it is necessary to ensure its valid and accessible distribution. A geoportal is a specialized web portal for sharing spatial information at different levels over the Internet. This paper re-examines the implementation of an MSDI and what it means for data custodians and end users. Several geoportals are reviewed (German and Australian) to determine their web services functionality, capabilities and the scope to which they support the sharing and reuse of Marine Spatial Data to assist the development of the Croatian MSDI Geoportal. This framework provides a context for better understanding the information bases on spatial data standards and a tool for evaluation of MSDI dissemination - Geoportal.

scholarly journals Land Use Dataset Collection And Publication Based On Lucas And Hilucs

2014 ◽  
Vol 17 (2) ◽  
pp. 52-59
Author(s):  
Marcel KLIMENT ◽  
Jakub KOČICA ◽  
Tomáš KLIMENT
Keyword(s):  
Land Use ◽  
Land Cover ◽  
European Community ◽  
Spatial Data ◽  
Spatial Information ◽  
Strong Support ◽  
Spatial Data Infrastructure ◽  
Web Gis ◽  
Land Use Classification ◽  
Data Infrastructure

Abstract Spatial data have become very important phenomena within the last decade in Europe due to a strong support from the political spectrum with regard to related legislation and resulting in financial support to several research, educational, and enlargement projects. INSPIRE (Infrastructure for Spatial Information in the European Community) Directive indeed defines the principles for the harmonization of spatial data infrastructure in the European community, including Land Use and Land Cover data themes. INSPIRE defines a methodology on how to transform datasets to common data models, but it does not cover the process of data collection and update, because it is out of its scope. Evaluation of the Land Use dataset derived from remote sensing products complemented by fieldworks has been realized since 2006 by Eurostat within the LUCAS (Land Use and Cover Area frame Survey) project. The work presented in this paper follows the LUCAS fieldwork methodology, which was applied during the fieldwork in July 2014 in the City of Zagreb (Croatia), to use at the local (municipal) geoportal level. The surveying groups collected point features with the following data type attributes: Land Use codes defined by HILUCS (Hierarchical INSPIRE Land Use Classification System) and optional Land Cover codes defined by LUCAS classification. In addition, photographs representing the observed areas were collected by cameras embedded in the mobile GIS platforms. An update of original topological layer was performed and Web GIS components for sharing the newly developed datasets were implemented. The results presented provide a suitable proposal for fieldworks methodology and updates of a land use database in line with the INSPIRE directive applicable at a local spatial data infrastructure level.

scholarly journals Strategic Analysis for Governance Development of National Spatial Data Infrastructure Portal in Korea

2021 ◽  
Vol 10 (10) ◽  
pp. 654
Author(s):  
Yejin Yoo ◽  
Seong-sig Kim
Keyword(s):  
Spatial Data ◽  
Interface Design ◽  
Spatial Information ◽  
Evaluation Criteria ◽  
Spatial Data Infrastructure ◽  
Security And Privacy ◽  
Quality Of Data ◽  
Data Infrastructure ◽  
Website Usability ◽  
Improvement Plan

The Korean government released the National Spatial Data Infrastructure Portal (NSDIP) by integrating the spatial information possessed by 205 agencies to implement governance through the portal. In this study, four evaluation criteria groups (disclosure, participation, civil petition service, and website usability) were established through a literature review related to governance and government portals. After evaluation based on the four evaluation criteria, governance improvement measures were suggested. As an improvement measure, in terms of information disclosure, it was necessary to manage the quality of data update cycle, accuracy, metadata, etc., and to provide customized spatial information. In the stakeholder participation section, feedback from users is reflected in policies, and activation of participation spaces through education and exhibitions is required. In terms of civil petition service, it is necessary to introduce an incentive system to improve innovative services and to prepare measures to prevent infringement of security and privacy in the civil petition process. In website usability, it is necessary to prepare an improvement plan by introducing user-friendly interface design using GIS viewer, and statistics and GIS spatial analysis functions. The improvement plan by the evaluation criteria is expected to be the direction to implement inclusive portal governance.

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.

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