scholarly journals Interoperability at the core strategic in the Spatial Data Infrastructure of the Service Aerophotogrammetric of the Air Force of Chile

2021 ◽  
Vol 4 ◽  
pp. 1-5
Author(s):  
Joselyn Robledo Ceballos
Keyword(s):  
Air Force ◽  
Spatial Data ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
The Core ◽  
Key Factor ◽  
Data Infrastructures ◽  
New Methodologies ◽  
Spatial Data Infrastructures ◽  
Potential Use

Abstract. The Aerophotogrammetric Service (SAF) of the Chilean Air Force works permanently on the implementation of new methodologies and lines of research, fostering innovation in the field of earth sciences, remote sensing and geospatial information management. The above, with the aim of being at the technical and technological forefront in the country. Proof of this is the implementation of the SAF's Spatial Data Infrastructures, which has as one of its strategic axes the interoperability of geographic information, as it is considered a key factor in the correct exploitation of data, its access, availability and its potential use in decision making.

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 The Americas’ Spatial Data Infrastructure

2019 ◽  
Vol 8 (10) ◽  
pp. 432 ◽  
Author(s):  
Paloma Merodio Gómez ◽  
Macarena Pérez García ◽  
Gabriela García Seco ◽  
Andrea Ramírez Santiago ◽  
Catalina Tapia Johnson
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Starting Point ◽  
The Status ◽  
Data Infrastructures ◽  
Regional Committee ◽  
Spatial Data Infrastructures ◽  
Improve Access

During the last decade, the production of geospatial information has increased considerably; however, managing and sharing this information has become increasingly difficult for the organizations that produce it, because it comes from different data sources and has a wide variety of users. In this sense, to have a better use of geospatial information, several countries have developed national spatial data infrastructures (SDIs) to improve access, visualization, and integration of their data and in turn, have the need to cooperate with other countries to develop regional SDIs, which allow better decision making with regional impact. However, its design and development plan requires, as a starting point, to knowing the level of development of the national SDIs to identify the strengths and gaps that exist in the region. This document presents the methodology developed and the results obtained from the evaluation of the status of implementation of the SDI components in each of the member countries of the Regional Committee of United Nations on Global Geospatial Information Management for the Americas (UN-GGIM: Americas), which will contribute to the equal development of SDIs in an integrated and collaborative way in the Americas.

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

2019 ◽  
pp. 306-348
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 ◽  
Geospatial Information ◽  
Geographic Information Technologies ◽  
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.

Geospatial Digital Rights Management

2019 ◽  
pp. 126-142
Author(s):  
Titus M. Ng'ang'a ◽  
Peter M. Wachira ◽  
Tim J. L. Wango ◽  
Joseph M. Ndung'u ◽  
Margaret N. Ndungo
Keyword(s):  
Intellectual Property Rights ◽  
Spatial Data ◽  
Digital Rights Management ◽  
Data Infrastructure ◽  
Web Mapping ◽  
Digital Rights ◽  
Rights Management ◽  
Mapping Technology ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

This Chapter introduces the need for general Digital Rights Management (DRM) requirements. Further, it intertwines DRM with its spatial counterpart, Geospatial DRM (GeoDRM). However, unlike DRM, GeoDRM is far much complicated due to issues such as the development of Web Mapping technology among other issues. The Chapter discusses the ability of GeoDRM to mitigate transgression of Intellectual Property Rights (IPR). Highlighting economical and environmental wellbeing and other benefits of Spatial Data Infrastructure (SDI) geared towards global sustainable developments, the Chapter focuses on challenges of National Spatial Data Infrastructures (NSDIs) and Regional SDIs and the need to harmonize their standards for the upward mobility of global SDI (GSDI). Emphasizing the undisputed need for Local, Regional and Global Spatial Data Infrastructures (SDIs), in the presence of various Geo-communities and different GeoDRM models, the Chapter concludes that capacity building need to be urgently but carefully harnessed across all levels in order to develop cohesive GeoDRM policies.

Geospatial Digital Rights Management

2017 ◽  
pp. 291-307
Author(s):  
Titus M. Ng'ang'a ◽  
Peter M. Wachira ◽  
Tim J. L. Wango ◽  
Joseph M. Ndung'u ◽  
Margaret N. Ndungo
Keyword(s):  
Intellectual Property Rights ◽  
Spatial Data ◽  
Digital Rights Management ◽  
Data Infrastructure ◽  
Web Mapping ◽  
Digital Rights ◽  
Rights Management ◽  
Mapping Technology ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

This Chapter introduces the need for general Digital Rights Management (DRM) requirements. Further, it intertwines DRM with its spatial counterpart, Geospatial DRM (GeoDRM). However, unlike DRM, GeoDRM is far much complicated due to issues such as the development of Web Mapping technology among other issues. The Chapter discusses the ability of GeoDRM to mitigate transgression of Intellectual Property Rights (IPR). Highlighting economical and environmental wellbeing and other benefits of Spatial Data Infrastructure (SDI) geared towards global sustainable developments, the Chapter focuses on challenges of National Spatial Data Infrastructures (NSDIs) and Regional SDIs and the need to harmonize their standards for the upward mobility of global SDI (GSDI). Emphasizing the undisputed need for Local, Regional and Global Spatial Data Infrastructures (SDIs), in the presence of various Geo-communities and different GeoDRM models, the Chapter concludes that capacity building need to be urgently but carefully harnessed across all levels in order to develop cohesive GeoDRM policies.

scholarly journals Formation of geospatial information databases in the system of digital spatial data infrastructures

2020 ◽  
Vol 208 ◽  
pp. 08007
Author(s):  
Anatoliy A. Yamashkin ◽  
Stanislav A. Yamashkin ◽  
Milan M. Radovanovic
Keyword(s):  
Spatial Data ◽  
System Integration ◽  
Production Systems ◽  
Remote Sensing Data ◽  
Geospatial Information ◽  
Natural Man ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Spatio Temporal ◽  
Key Aspects

The article discusses the key aspects of the development of spatial data infrastructures and models of spatio-temporal data based on the study of geosystems, as well as ensuring the updating of the geospatial storage of information based on Earth remote sensing data. The authors have shown that for the formation of the software and hardware infrastructure of a digital storage of spatial data, it is advisable to follow an organized technological process. At the same time, spatial data warehouses should provide system integration of data with spatial and temporal reference. The solution to the problems of visualization and dissemination of spatial data should be based on the effective use of geoportal systems. It is concluded that the development of databases of digital SDIs and geoportal systems is associated with the development of methods and algorithms for the conjugate analysis of the peculiarities of the interaction of natural, social and production systems, complex interpretation of large arrays of spatial data and forecasting the development of natural and natural-man-made processes.

scholarly journals Development of project-oriented spatial data infrastructure using cloud technologies

2019 ◽  
Vol 29 (3) ◽  
pp. 79-90
Author(s):  
S. A. Yamashkin ◽  
A. A. Yamashkin ◽  
S. A. Fedosin
Keyword(s):  
Social Services ◽  
Data Storage ◽  
Spatial Data ◽  
Design Development ◽  
Data Infrastructure ◽  
Regulatory Frameworks ◽  
Analysis And Synthesis ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Cloud Technologies

The article includes the issues of design, development and introduction of project-oriented spatial data infrastructures (SDIs) that build the information space to solve pressing challenges in economy, ecology, social services, in the field of preparation of pre-investment, urban planning, pre-project, project documentation, and natural disaster forecasting.It also provides an overview of a historical development of spatial data infrastructures in Russia and in the world. Based on an analysis of a historical landscape within the challenging area, authors have identified the following system components of SDIs: users and professionals, data, technologies, standards, regulatory frameworks, and institutional procedures. There is a proposed platform solution architecture to build SDI, summarized in a form of a structure-component scheme. It rests upon the hypothesis that in order to optimize spatial data storage and application-related processes, the project-oriented SDI needs to include loosely bound and closely bound subsystems for spatial data storage (cloud or local storages), analysis and synthesis modules, as well as modules for visualization and distribution of spatial data (as geoportal systems).

scholarly journals A Review of the Status of Spatial Data Infrastructure Implementation in Africa

2010 ◽  
Vol 45 ◽  
Author(s):  
Prestige Makanga ◽  
Julian Smit
Keyword(s):  
Spatial Data ◽  
Central Africa ◽  
Economic Potential ◽  
African Countries ◽  
Data Infrastructure ◽  
South West ◽  
The Status ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures ◽  
Data Collections

Spatial data is a key resource for the development of a nation. There is a lot of economic potential that is locked away in spatial data collections and this potential is realised by making the data widely available. Spatial Data Infrastructures (SDI) provide a platform for spatial data users, producers and those that manage it, to distribute the data more efficiently. Governments all over the world are realising the value of National Spatial Data Infrastructures (NSDI), and therefore making major investments to establish them. However, in Africa, implementation of formal NSDI is being done at a seemingly slow pace. This paper presents an assessment of the status of NSDI activity in Africa. 29 countries were used in the survey and an assessment was made per region (South, West, East, North and Central Africa). The results show that generally, formal NSDI activity in most African countries is still in its infancy. The paper also gives recommendations of possible measures that can be taken to foster SDI implementation on the continent. In addition, it highlights potential areas for further SDI research.

scholarly journals Enhancing discovery in spatial data infrastructures using a search engine

2018 ◽  
Vol 4 ◽  
pp. e152 ◽  
Author(s):  
Paolo Corti ◽  
Athanasios Tom Kralidis ◽  
Benjamin Lewis
Keyword(s):  
Search Engine ◽  
Language Processing ◽  
Spatial Data ◽  
Spatial Information ◽  
Harvard University ◽  
Text Search ◽  
Data Infrastructure ◽  
Data Infrastructures ◽  
Open Geospatial Consortium ◽  
Spatial Data Infrastructures

A spatial data infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide an efficient and flexible way to use spatial information. One of the key software components of an SDI is the catalogue service which is needed to discover, query and manage the metadata. Catalogue services in an SDI are typically based on the Open Geospatial Consortium (OGC) Catalogue Service for the Web (CSW) standard which defines common interfaces for accessing the metadata information. A search engine is a software system capable of supporting fast and reliable search, which may use ‘any means necessary’ to get users to the resources they need quickly and efficiently. These techniques may include full text search, natural language processing, weighted results, fuzzy tolerance results, faceting, hit highlighting, recommendations and many others. In this paper we present an example of a search engine being added to an SDI to improve search against large collections of geospatial datasets. The Centre for Geographic Analysis (CGA) at Harvard University re-engineered the search component of its public domain SDI (Harvard WorldMap) which is based on the GeoNode platform. A search engine was added to the SDI stack to enhance the CSW catalogue discovery abilities. It is now possible to discover spatial datasets from metadata by using the standard search operations of the catalogue and to take advantage of the new abilities of the search engine, to return relevant and reliable content to SDI users.

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