Centre de documentation
scientifique

Earth observation open science and innovation / Pierre-Philippe Mathieu (2018)  

Public Titre : Earth observation open science and innovation Type de document : Monographie Auteurs : Pierre-Philippe Mathieu, Éditeur scientifique ; Christoph Aubrecht, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2018 Importance : 344 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-65633-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] analyse de données [Termes IGN] données localisées [Termes IGN] données localisées numériques [Termes IGN] données massives [Termes IGN] données spatiotemporelles [Termes IGN] intelligence artificielle [Termes IGN] internet des objets [Termes IGN] observation de la Terre [Termes IGN] science citoyenne [Termes IGN] web des données Résumé : (éditeur) Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites. Note de contenu : 1- The Changing Landscape of Geospatial Information Markets 2- The Digital Transformation of Education 3- The Open Science Commons for the European Research Area 4- Citizen Science for Observing and Understanding the Earth 5- Fostering Cross-Disciplinary Earth Science Through Datacube Analytics 6- Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science 7- Cyber-Infrastructure for Data-Intensive Geospatial Computing 8- Machine Learning Applications for Earth Observation 9- New Generation Platforms for Exploration of Crowdsourced Geo-Data 10- Mapping Land Use Dynamics Using the Collective Power of the Crowd 11- The Emergence of the GeoSharing Economy 12- Sustainable Agriculture and Smart Farming 13- Earth Observation Data for Enterprise Business Applications 14- Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring 15- Putting Big Data Innovation into Action for Development 16- Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Application in Senegal 17- Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World 18- Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea 19- Erratum to: Citizen Science for Observing and Understanding the Earth Numéro de notice : 25947 Affiliation des auteurs : non IGN Thématique : SOCIETE NUMERIQUE Nature : Monographie DOI : 10.1007/978-3-319-65633-5 En ligne : https://doi.org/10.1007/978-3-319-65633-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96356

VGDI – advancing the concept: Volunteered geo-dynamic information and its benefits for population dynamics modeling / Christoph Aubrecht in Transactions in GIS, vol 21 n° 2 (April 2017)  

Public [article]  inTransactions in GIS > vol 21 n° 2 (April 2017) Titre : VGDI – advancing the concept: Volunteered geo-dynamic information and its benefits for population dynamics modeling Type de document : Article/Communication Auteurs : Christoph Aubrecht, Auteur ; Dilek Özceylan Aubrecht, Auteur ; Joachim Ungar, Auteur ; et al., Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] connaissance thématique [Termes IGN] dimension temporelle [Termes IGN] données localisées des bénévoles [Termes IGN] extraction de données [Termes IGN] géomatique [Termes IGN] modèle dynamique Résumé : (auteur) The concept of Volunteered Geographic Information (VGI) has progressed from being an exotic prospect to making a profound impact on GIScience and geography in general, as initially anticipated. However, while massive and manifold data is continuously produced voluntarily and applications are built for information and knowledge extraction, the initially introduced concept of VGI lacks certain methodological perspectives in this regard which have not been fully elaborated. In this article we highlight and discuss an important gap in this concept, i.e. the lack of formal acknowledgment of temporal aspects. By coining the proposed advanced framework ‘Volunteered Geo-Dynamic Information’ (VGDI), we attempt to lay the ground for full conceptual and applied spatio-temporal integration. To illustrate that integrative approach of VGDI and its benefits, we describe the potential impact on the field of dynamic population distribution modeling. While traditional approaches in that domain rely on survey-based data and statistics as well as static geographic information, the use of VGDI enables a dynamic setup. Foursquare venue and user check-in data are presented for a test site in Lisbon, Portugal. Two core modules of spatio-temporal population assessment are thereby addressed, namely time use profiling and target zone characterization, motivated by the potential integration in existing population dynamics frameworks such as the DynaPop model. Numéro de notice : A2017-165 Affiliation des auteurs : non IGN Thématique : SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12203 En ligne : http://dx.doi.org/DOI: 10.1111/tgis.12203 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84699 [article]