Earth Observation Data Cubes / / Gregory Giuliani

• Autore: Giuliani Gregory
• Pubblicazione: [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2020
• Descrizione fisica: 1 online resource (302 pages)
• Disciplina: 025
• Soggetto topico: Data curation
• Nota di contenuto: About the Special Issue Editors -- Gregory Giuliani, Gilberto Camara, Brian Killough and Stuart Minchin Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes -- Gregory Giuliani, Joan Maso, Paolo Mazzetti, Stefano Nativi and Alaitz Zabala Paving the Way to Increased Interoperability of Earth Observations Data Cubes -- Hannah Augustin, Martin Sudmanns, Dirk Tiede, Stefan Lang and Andrea Baraldi Semantic Earth Observation Data Cubes -- Hans-Peter Plag, Shelley-Ann Jules-Plag A Transformative Concept: From Data Being Passive Objects to Data Being Active Subjects -- John Truckenbrodt, Terri Freemantle, Chris Williams, Tom Jones, David Small, Clemence Dubois, Christian Thiel, Cristian Rossi, Asimina Syriou and Gregory Giuliani Towards Sentinel-1 SAR Analysis-Ready Data: A Best Practices Assessment on Preparing Backscatter Data for the Cube -- Catherine Ticehurst, Zheng-Shu Zhou, Eric Lehmann, Fang Yuan, Medhavy Thankappan, Ake Rosenqvist, Ben Lewis and Matt Paget Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data -- Chris Schubert, Georg Seyerl and Katharina Sack Dynamic Data Citation Service-Subset Tool for Operational Data Management -- Soren Gebbert, Thomas Leppelt and Edzer PebesmaA Topology Based Spatio-Temporal Map Algebra for Big Data Analysis -- Marius Appel and Edzer Pebesma On-Demand Processing of Data Cubes from Satellite Image Collections with the gdalcubes Library -- Joan Maso, Alaitz Zabala, Ivette Serral and Xavier Pons A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions: The Catalan Data Cube Example -- Steve Kopp, Peter Becker, Abhijit Doshi, Dawn J. Wright, Kaixi Zhang and Hong Xu Achieving the Full Vision of Earth Observation Data Cubes -- Charlotte Poussin, Yaniss Guigoz, Elisa Palazzi, Silvia Terzago, Bruno Chatenoux and Gregory Giuliani Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube -- Richard Lucas, Norman Mueller, Anders Siggins, Christopher Owers, Daniel Clewley, Peter Bunting, Cate Kooymans, Belle Tissott, Ben Lewis, Leo Lymburner and Graciela Metternicht Land Cover Mapping Using Digital Earth Australia -- Shushanik Asmaryan, Vahagn Muradyan, Garegin Tepanosyan, Azatuhi Hovsepyan, Armen Saghatelyan, Hrachya Astsatryan, Hayk Grigoryan, Rita Abrahamyan, Yaniss Guigoz and Gregory Giuliani Paving the Way towards an Armenian Data Cube -- Trevor Dhu, Gregory Giuliani, Jimena Ju´arez, Argyro Kavvada, Brian Killough, Paloma Merodio, Stuart Minchin and Steven Ramage National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices.
• Sommario/riassunto: Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10× in the last 5 years); velocity (e.g., Sentinel-2 is capturing a new image of any given place every 5 days); and variety (e.g., different types of sensors, spatial/spectral resolutions). Traditional approaches to the acquisition, management, distribution, and analysis of EO data have limitations (e.g., data size, heterogeneity, and complexity) that impede their true information potential to be realized. Addressing these big data challenges requires a change of paradigm and a move away from local processing and data distribution methods to lower the barriers caused by data size and related complications in data management. To tackle these issues, EO data cubes (EODC) are a new paradigm revolutionizing the way users can store, organize, manage, and analyze EO data. This Special Issue is consequently aiming to cover the most recent advances in EODC developments and implementations to broaden the use of EO data to larger communities of users, support decision-makers with timely and actionable information converted into meaningful geophysical variables, and ultimately unlock the information power of EO data.
• Titolo autorizzato: Earth Observation Data Cubes
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910598010603321
• Lo trovi qui: Univ. Federico II