Table of contents

  1. Front Matter
    Pages i-viii
  2. Join the Geo Revolution

    1. Front Matter
      Pages 1-1
    2. Conor O’Sullivan, Nicholas Wise, Pierre-Philippe Mathieu
      Pages 3-23 Open Access
    3. Ravi Kapur, Val Byfield, Fabio Del Frate, Mark Higgins, Sheila Jagannathan
      Pages 25-41 Open Access
    4. Tiziana Ferrari, Diego Scardaci, Sergio Andreozzi
      Pages 43-67 Open Access
    5. Mordechai (Muki) Haklay, Suvodeep Mazumdar, Jessica Wardlaw
      Pages 69-88 Open Access
  3. Enabling Data Intensive Science

    1. Front Matter
      Pages 89-89
    2. Peter Baumann, Angelo Pio Rossi, Brennan Bell, Oliver Clements, Ben Evans, Heike Hoenig et al.
      Pages 91-119 Open Access
    3. Max Craglia, Stefano Nativi
      Pages 121-141 Open Access
    4. Rajasekar Karthik, Alexandre Sorokine, Dilip R. Patlolla, Cheng Liu, Shweta M. Gupte, Budhendra L. Bhaduri
      Pages 143-164 Open Access
    5. David J. Lary, Gebreab K. Zewdie, Xun Liu, Daji Wu, Estelle Levetin, Rebecca J. Allee et al.
      Pages 165-218 Open Access
    6. Maria Antonia Brovelli, Marco Minghini, Giorgio Zamboni
      Pages 219-243 Open Access
  4. Use Cases Open Science and Innovation

    1. Front Matter
      Pages 245-245
    2. Christoph Aubrecht, Joachim Ungar, Dilek Ozceylan Aubrecht, Sérgio Freire, Klaus Steinnocher
      Pages 247-253 Open Access
    3. Ursula Benz, Manfred Krischke
      Pages 255-260 Open Access
    4. Heike Bach, Wolfram Mauser
      Pages 261-269 Open Access
    5. Hinnerk Gildhoff
      Pages 271-274 Open Access
    6. Andreea Bucur, Wolfgang Wagner, Stefano Elefante, Vahid Naeimi, Christian Briese
      Pages 275-283 Open Access
    7. Trevor Monroe, Stephanie Debere, Kwawu Mensa Gaba, David Newhouse, Talip Killic
      Pages 285-291 Open Access
    8. Bessie Schwarz, Gabriel Pestre, Beth Tellman, Jonathan Sullivan, Catherine Kuhn, Richa Mahtta et al.
      Pages 293-300 Open Access

About this book

Introduction

This book is published open access under a CC BY 4.0 license.

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.

 


Keywords

geospatial analytics Social Observatory big Earth data open data citizen science open innovation earth system science Crowdsourced Geospatial Data citizen science Science in society data science open access

Editors and affiliations

  • Pierre-Philippe Mathieu
    • 1
  • Christoph Aubrecht
    • 2
  1. 1.ESA/ESRINFrascatiItaly
  2. 2.ESA/ESRIN & World BankWashington, DCUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-65633-5
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-65632-8
  • Online ISBN 978-3-319-65633-5
  • About this book