Earth Observation Open Science and Innovation

ISBN-13: 9783319656328 / Angielski / Twarda / 2018 / 330 str.

Pierre-Philippe Mathieu; Christoph Aubrecht

Opis

This book reviews trends and changes in the exploitation of large amount of Earth Observation data, which happens in a collaborative, cross-disciplinary, and open way, from science to applications, innovation and education. Open Science and Innovation refers to the systematic changes in doing Research, Innovation and Applications driven by the rapid advances in digital technologies combined with a growing demand to do Science for Society and in Society. Teams of researchers around the world can now easily access a wide range of open data across disciplines and remotely process them on the Cloud, combining with own data to generate knowledge, develop information products for societal applications, and tackle complex integrative problems that could not be addressed a few years ago. The Earth Observation community is now facing the challenge of responding to this new paradigm in order to make the most of the large volume of complex and diverse data delivered by the new generation of EO missions.
The book discusses how data intensive science is enabled, introduces the Social Observatory and presents open science and innovation use cases.
This book is open access under the CC BY-NC 4.0 license.

Spis treści

Earth Observation Open Science and Innovation

Editors: PP Mathieu, C Aubrecht

 

Tentative Table of Contents (Sections, Chapter Titles, Lead Authors)

Join the Geo Revolution

A new era for EO                                                                                                                          

;                            PP Mathieu

The changing landscape of geospatial information markets                                                                  N. Wise

The digital transformation of education                                                      

                                                   R. Kapur

Achieving the socio-economic benefits of global data commons                                                        T. Ferrari

 

Enabling Data Intensive Science

Big Earth data at your fingertips                              &nb

sp;                                                                                          P. Baumann

Big data analytics on the Australian geoscience data cube                                                                &nbs

p;    S. Oliver

Mind the gap: big data vs. interoperability and reproducibility of science                                       M. Craglia

Cyber-infrastructure for data intensive geospatial computing                                                             R. Karthik

Machine Learning Applications for Earth Observation                         &nbs

p;                                                    D. Lary

 

Social Observatory and Computing

Citizen Science for observing and understanding the Earth                                                                   M. Haklay

New generation platforms for exploration of crowdsourced geo-data            &nb

sp;                               M. Brovelli

 

USE CASES Open science and innovation use cases

Mapping land use dynamics using the collective power of the crowd                                               C. Aubrecht

The emergence of the geo-sharing economy                                                    &nbs

p;                                         U. Benz

Sustainable agriculture and global smart farms                                                                                           H. Bach

Risk management and innovative insurance products               &nb

sp;                                                             A. Siebert

Earth observation data for enterprise business applications                                                                 H. Gildhoff

Development of an EO Cloud Platform in Support to Water Resources Monitoring             &nb

sp;      A. Bucur

Big Data to support Development                                                                                                                    T. Monroe

SDI implementation in science agencies supporting EO data management and web services    S. Shrestha

O autorze

Christoph Aubrecht is affiliated with the European Space Agency (ESA), representing ESA at the World Bank to coordinate collaborative activities. Prior to joining ESA, Chris was leading the spatial analytics efforts under the World Bank’s Central America & Caribbean CDRP initiative. For more than 10 years Chris also worked at the Austrian Institute of Technology (AIT), most recently serving as senior advisor on geospatial strategy development and implementation design.

Further previous positions include senior specialist consultancies at the World Bank's DRM and Urban unit, short-term consultancy at GFDRR, foreign national research affiliation at NOAA’s National Geophysical Data Center, and visiting scientist positions at Columbia University's CIESIN and the attached NASA Socioeconomic Data and Applications Center as well as at the University of Southern California. From 2008-2015 Chris served as adjunct lecturer in GI science and remote sensing at University of Vienna.

Chris holds a PhD in integrated GI science and remote sensing from Vienna University of Technology and a prior Master's degree in geography and GI science from the University of Vienna.

Pierre-Philippe Mathieu is Earth Observation Data Scientist at the European Space Agency in ESRIN (Frascati, Italy). He spent 20+ years working in the field of environmental and ocean modelling, weather risk management and remote sensing. He has a degree in mechanical engineering and M.Sc from University of Liege (Belgium), a Ph.D. in oceanography from the University of Louvain (Belgium), and a Management degree from the University of Reading Business School (UK).

Blurb

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.