Earth Observation Open Science and Innovation.

• Superior document: ISSI Scientific Report Series ; v.15
• Author: Mathieu, Pierre-Philippe.
• TeilnehmendeR: Aubrecht, Christoph.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2018.; ©2018.
• Year of Publication: 2018
• Edition: 1st ed.
• Language: English
• Series: ISSI Scientific Report Series
• Physical Description: 1 online resource (328 pages)

Table of Contents

Intro -- Foreword -- Contents -- Part I Join the Geo Revolution -- The Changing Landscape of Geospatial Information Markets -- Introduction -- Rise of the Platforms -- Data as a Service -- Open Data Policies -- New Business Models -- Sensor Use Growing -- Crowdsourcing -- Disruptive Innovation -- Cloud Computing -- Business Models in Cloud Computing -- Microsoft Azure -- Amazon Web Services (AWS) -- Google Cloud Platform -- Conclusion -- References -- The Digital Transformation of Education -- Case Study: How the World Bank Group's Open Learning Campus is Partnering with Earth Observation Satellite Data to Enrich the Learning Experience -- -- Learning as an Accelerator to Achieve Development Goals -- Progress of the OLC so Far -- Flexible Pathways to Learning -- Increasing Importance of Geospatial Data -- Examples of How the OLC is Incorporating Spatial Data -- Issues Relevant to This Experience for the Earth Observation Community -- Case Study Conclusion -- References -- The Open Science Commons for the European Research Area -- Creating the European Research Area: The "Open" Approach -- Problems to Solve -- Lack and/or Incomplete Roadmaps for Research- and e-Infrastructures -- Fragmented Solutions and Policies for Access to Data and Knowledge -- Insufficient Cooperation Between Public and Private Sector -- Lack of National and European Organization Between All Stakeholders -- Many Providers Without a Single Market -- The Open Science Commons -- The European Open Science Cloud -- Open Science Commons for the EOSC -- EOSC Architecture and Services -- Realizing a Federated Approach to Research Data -- Offering of Scalable Access to and Analysis of Research Data for Reuse -- Integrating (Shared) Tools and Applications -- Provisioning of Services for Depositing Data for Resource-Bound Users -- EOSC Service Integration and Management.

EOSC Governance -- EOSC and the e-Infrastructure Commons -- The EGI Blueprint -- Core Infrastructure Platform -- Collaborative Platform -- The EGI Federated Cloud -- The Data Hub and the Open Data Platform -- EO Data Exploitation via the e-Infrastructures and EOSC -- Infrastructure Services for EO Data Exploitation -- An Example: e-Infrastructure Services to Implement the ESA Generic Exploitation Platform Open Architecture -- An Example: Integration of the Geohazard Exploitation Platform Within the EGI Infrastructure -- Conclusions -- References -- Citizen Science for Observing and Understanding the Earth -- Introduction -- Societal and Technological Trends -- Citizen Science Today: Main Areas of Activity -- Citizen Science Across Domains: Long-Running Citizen Science -- The Impact of Technology: Citizen Cyberscience -- Depth of Participation: Community Science -- Citizen Science and Earth Observation: Technical, Societal, Ethical and Policy Aspects -- Technical Aspects -- Societal and Ethical Aspects -- Citizen Science Integration into Policy -- Conclusions -- References -- Part II Enabling Data Intensive Science -- Fostering Cross-Disciplinary Earth Science Through DatacubeAnalytics -- Introduction -- Standards-Based Modelling of Datacubes -- Coverage Data Model -- Web Coverage Service -- Web Coverage Processing Service -- The Role of Standards -- Science Data Services -- Earth Observation Data Services -- Marine Science Data Service -- Climate Science Data Service -- Planetary Science Data Service -- Cross-Service Federation Queries -- Datacube Analytics Technology -- Array Databases as Datacube Platform -- Array Storage -- Array Processing -- Tool Integration -- The Role and Handling of Metadata -- Virtual Globes as Datacube Interfaces -- Related Work -- Conclusion and Outlook -- References.

Mind the Gap: Big Data vs. Interoperability and Reproducibility of Science -- Introduction: the Big Data Paradox -- It's All in the Framing! -- Towards Open (Shared) Knowledge -- The GEOSS Case -- Big Data Infrastructure Services: The GEOSS Common Infrastructure (GCI) Big Data Strategy -- Content Harmonization and Information/Knowledge Generation: The Brokering Framework -- The Brokering framework -- The DAB -- More (Value) knowledge to reduce Volume -- From Data to Knowledge: the GEOSS Knowledge Base and High-Performance Data Analytics -- The DIKW pattern -- The GEOSS Knowledge Base -- High-Performance Analytics and GEOSS -- Conclusions -- References -- Cyber-Infrastructure for Data-Intensive Geospatial Computing -- Introduction -- Settlement Mapping Tool (SMTOOL) -- Toolbox for Urban Mobility Simulations (TUMS) -- Global Dataset -- Framework -- OD Tables -- Resolution -- Unified Network and Population Database -- Big Data -- Urban Information System (UrbIS) -- Leveraging Big Data to Understand Urban Impact on Environment and Climate -- Conclusions -- References -- Machine Learning Applications for Earth Observation -- Introduction -- What Is Machine Learning? -- Some Existing Machine Learning Applications -- Machine Learning for Bias Correction and Cross Calibration -- Vegetation Indices -- Space-Based Measurements of HCl Relevant for Ozone Depletion -- HCl and Cly Time Series -- Bias Correction of MODIS Aerosol Optical Depth -- Data Description -- Machine Learning AOD Bias Correction -- Machine Learning for New Product Creation -- Airborne Particulates -- Tracer Correlations -- Reconstructing CH4-N2O Correlations -- Pollen Estimation -- Predicting Pollen Abundance -- Using Machine Learning for Ocean Data Products -- Dust Source Identification Using Unsupervised Classification -- Bolivia and Chile Salt Flats Dust Event.

Bodélé Depression Dust Event -- Characterizing Pelagic Habitats Within Coastal Waters -- Fish Catch and SOM Classes -- Some Likely Future Machine Learning Applications -- Hyper-Spectral Imaging and Machine Learning for Real Time Embedded Processing and Decision Support -- Oil Spills -- Summary -- References -- New Generation Platforms for Exploration of CrowdsourcedGeo-Data -- Introduction -- Virtual Globes as the New Generation Visualization Platforms -- Virtual Globes for the Exploration of Crowdsourced Geo-Data -- Applications -- PoliCrowd -- Open Data Kit (ODK) -- NASA World Wind Java SDK -- System Architecture -- Overview of Functionalities -- Telecommunication Data Viewer -- The netCDF Data Format -- EST-WA: A Multidimensional Data Viewer -- Application of EST-WA to Explore Geo-Crowdsourced Data -- Conclusions -- References -- Part III Use Cases Open Science and Innovation -- Mapping Land Use Dynamics Using the Collective Powerof the Crowd -- Concept and Context -- The Collective Power of the Crowd -- VGDI Access and Integration: The Foursquare Use Case -- What Is Next and Where Are We Headed? -- References -- The Emergence of the GeoSharing Economy -- GeoSharing Platform Requirements -- Technical Access -- Commercial and Legal Access -- Reference -- Sustainable Agriculture and Smart Farming -- Multi-Year Site-Characterization of Fields Using Advanced Data Harvesting Techniques -- Up-to-Date Crop Status Using Access to Satellite Data in Near-Real-Time -- Conclusions and Outlook -- References -- Earth Observation Data for Enterprise Business Applications -- Development of an Earth Observation Cloud Platform in Support to Water Resources Monitoring -- Introduction -- EODC: The Earth Observation Data Centre for Water Resources Management -- Pilot Services -- Closing Remarks -- References -- Putting Big Data Innovation into Action for Development.

Tracking Light from the Sky: Monitoring Rural Electrification from Space -- Tracking Poverty from Space -- Satellite-Based Yield Measurement -- Conclusion -- Mapping Floods and Assessing Flood Vulnerability for Disaster Decision-Making: A Case Study Remote Sensing Applicationin Senegal -- Introduction -- Why Senegal? An Example of the Critical Information Gap in Disaster Management -- Socio-Physical Vulnerability to Flooding to Senegal -- Using Big Data Information in Disaster Management -- The Future of This Approach Globally and Locally as a Practical Tool -- Conclusion -- References -- Earth Observation and Geospatial Implementation: Fueling Innovation in a Changing World -- Earth Observation Scientific Data Access, Discovery, and Challenges -- How Are Maps and Earth Observation Data Transforming Our World? -- Delivering Geospatial Data and Information Products with Web GIS -- Esri and Big Data -- Notable Solutions and Capabilities -- Conclusion -- References -- Artificial Intelligence and Earth Observation to Explore Water Quality in the Wadden Sea -- Introduction -- Inductive Learning -- Data Description -- Methods -- Results and Discussion -- Conclusions -- References -- Erratum to: Citizen Science for Observing and Understanding the Earth -- Index.