INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the “skeleton” of any Spatial Data Infrastructure (SDI). Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. This paper intends to provide an example of how institutional arrangements and cooperative production systems can be set up at any territorial level in order to exploit remotely sensed data in the most intensive manner, taking advantage of all its potential.

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INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b4-721-2016 ◽

2016 ◽

Vol XLI-B4 ◽

pp. 721-725

Author(s):

A. Arozarena ◽

G. Villa ◽

N. Valcárcel ◽

B. Pérez

Keyword(s):

Spatial Data ◽

Spatial Information ◽

Remotely Sensed ◽

Geographic Information ◽

Earth Observation ◽

Institutional Arrangements ◽

Observation System ◽

Remotely Sensed Data ◽

Geospatial Information ◽

Reference Information

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

Ventana informatica ◽

10.30554/ventanainform.23.191.2010 ◽

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.

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Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter

Remote Sensing ◽

10.3390/rs13061153 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1153

Author(s):

Pierrick Bruneau ◽

Etienne Brangbour ◽

Stéphane Marchand-Maillet ◽

Renaud Hostache ◽

Marco Chini ◽

...

Keyword(s):

Natural Hazards ◽

Spatial Data ◽

Spatial Information ◽

Temporal Frequency ◽

Geographic Information ◽

Area Measurement ◽

Remotely Sensed Data ◽

Aggregation Techniques ◽

Flooded Area ◽

The Impact

Twitter has significant potential as a source of Volunteered Geographic Information (VGI), as its content is updated at high frequency, with high availability thanks to dedicated interfaces. However, the diversity of content types and the low average accuracy of geographic information attached to individual tweets remain obstacles in this context. The contributions in this paper relate to the general goal of extracting actionable information regarding the impact of natural hazards on a specific region from social platforms, such as Twitter. Specifically, our contributions describe the construction of a model classifying whether given spatio-temporal coordinates, materialized by raster cells in a remote sensing context, lie in a flooded area. For training, remotely sensed data are used as the target variable, and the input covariates are built on the sole basis of textual and spatial data extracted from a Twitter corpus. Our contributions enable the use of trained models for arbitrary new Twitter corpora collected for the same region, but at different times, allowing for the construction of a flooded area measurement proxy available at a higher temporal frequency. Experimental validation uses true data that were collected during Hurricane Harvey, which caused significant flooding in the Houston urban area between mid-August and mid-September 2017. Our experimental section compares several spatial information extraction methods, as well as various textual representation and aggregation techniques, which were applied to the collected Twitter data. The best configuration yields a F1 score of 0.425, boosted to 0.834 if restricted to the 10% most confident predictions.

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SPATIAL DATA: FROM CARTOGRAPHY TO GEODATABASE

Geodesy and Cartography ◽

10.3846/20296991.2017.1412613 ◽

2017 ◽

Vol 43 (4) ◽

pp. 142-146 ◽

Cited By ~ 3

Author(s):

Ugo FALCHI

Keyword(s):

Spatial Data ◽

Common Good ◽

Spatial Information ◽

Geographic Information ◽

The Public ◽

Significant Acceleration ◽

Management And Development ◽

The Status ◽

History Of ◽

Essential Knowledge

The final goal of this paper was to fix a brief summary on the status of geographic information in Italy due to the technological steps and national regulations. The acquisition, processing and sharing of spatial data has experienced a significant acceleration thanks to the development of computer technology and the acknowledgment of the need for standardization and homogenization of information held by public authorities and individuals. The spatial data represents the essential knowledge in the management and development of a territory both in terms of planning for safety and environmental prevention. In Italy there is an enormous heritage of spatial information which is historically affected by a problem of consistency and uniformity, in order to make it often contradictory in its use by the public decision-maker and private parties. The recent history of geographic information is characterized by a significant effort aimed at optimizing this decisive technical and cultural heritage allowing the use of it to all citizens in a logic of sharing and re-use and may finally represent a common good available to all.

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Sistem Informasi Geografis Berbasis Web Digitasi Persil Bangunan

Systemic Information System and Informatics Journal ◽

10.29080/systemic.v1i1.280 ◽

2015 ◽

Vol 1 (1) ◽

pp. 20-28

Author(s):

Arief Susanto

Keyword(s):

Information System ◽

Spatial Data ◽

Local Governments ◽

Spatial Information ◽

Geographic Information ◽

Process Data ◽

Desktop Application ◽

Gis Data ◽

Google Map Api ◽

Advanced Development

Geographic Information Systems ( GIS abbreviated as Geographic Information System ) is a specialized information system that manages data having spatial information . Most to process data in the form of GIS data are still many who use desktop application or can only run on one computer while the more advanced development requires us to produce information more easily is to develop a GIS online ( via the Internet ) and can be accessed Anywhere You . This application is designed using DFD modeling and created using the programming language PHP with MySQL database as well as utilizing Google Map API . As well as to facilitate the collection of data by the field of local government development . Moreover , the existence of GIS aims to help local governments in the search for building plots parcels and ownership of data previously not been structured to be more structural and facilitate spatial data collection .

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Blue Whale Habitat Associations in the Northwest Pacific: Analysis of Remotely-Sensed Data Using a Geographic Information System

Oceanography ◽

10.5670/oceanog.2002.11 ◽

2002 ◽

Vol 15 (3) ◽

pp. 20-25 ◽

Cited By ~ 27

Author(s):

Sue Moore ◽

William Watkins ◽

Mary Ann Daher ◽

Jeremy Davies ◽

Marilyn Dahlheim

Keyword(s):

Information System ◽

Geographic Information System ◽

Remotely Sensed ◽

Geographic Information ◽

Habitat Associations ◽

Northwest Pacific ◽

Blue Whale ◽

Remotely Sensed Data

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

Environmental Information Systems ◽

10.4018/978-1-5225-7033-2.ch015 ◽

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.

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Different Roles and Definitions of Spatial Data Fusion

Machine Learning ◽

10.4018/978-1-60960-818-7.ch110 ◽

2012 ◽

pp. 105-111 ◽

Cited By ~ 2

Author(s):

Patrik Skogster

Keyword(s):

Data Fusion ◽

Spatial Data ◽

Spatial Information ◽

Geographic Information ◽

Modern Business ◽

Computerized System

Geographic information is created by manipulating geographic (or spatial) data (generally known by the abbreviation geodata) in a computerized system. Geo-spatial information and geomatics are issues of modern business and research. It is essential to provide their different definitions and roles in order to get an overall picture of the issue. This article discusses about the problematic of definitions, but also the technologies and challenges within spatial data fusion.

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