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Table of Contents
Intro; Preface; Contents; Contributors; Acronyms; 1 Introduction; 1.1 From Field Studies to Multimedia Data Flows; 1.2 Book Content Overview; References; 2 Developing Mobile Applications for Environmental and Biodiversity Citizen Science: Considerationsand Recommendations; 2.1 Introduction; 2.2 Interoperability; 2.2.1 Data and Metadata Standards; 2.2.2 Data Sharing and Access; 2.2.3 Data Sharing with Participants; 2.2.4 Open Data and Licensing; 2.2.5 Software Reuse; 2.2.6 Software Reusability; 2.2.7 Data Management and Data Privacy; 2.2.8 Data Quality; 2.2.9 Data Policy Transparency
2.3 Participant Centered Design and Agile Development2.4 User Interface and User Experience Design; 2.4.1 Mobile Applications and Websites; 2.4.2 UI/UX Best Practice in the Software Development and Design Literature; 2.4.3 UI/UX Considerations Specific to Citizen Science Projects; 2.5 Motivational Factors for Participation; 2.5.1 Learning About Science: Supporting Shared Learning; 2.5.2 Making a Contribution to Science: Designing for Two-Way Communication; 2.5.3 Social Proof: Building and Supporting an Active Community; 2.5.4 Reward-Based Motivations: Sustaining Long-Term Engagement
2.6 Discussion and ConclusionsReferences; 3 A Toolbox for Understanding and Implementing a Citizens' Observatory on Air Monitoring; 3.1 Introduction; 3.2 Overview of the Citizens' Observatory Toolbox; 3.3 Citizens' Observatory Toolbox
Users' and Developers' Perspective; 3.3.1 Users' Perspective; 3.3.2 Developers' Perspective; 3.3.2.1 Architecture; 3.3.2.2 Guidelines; 3.3.2.3 Big Data Aspects; 3.3.2.4 Reusable Widgets; 3.3.2.5 Web Portals; 3.4 Examples for Using Citizens' Observatories Toolbox; 3.4.1 Example 1: Raising Students' Awareness to Air Quality Concepts in Haifa
3.4.2 Example 2: Citizens' Observatories with Users Being Parents with Children and Regular Citizens in Oslo3.4.3 Example 3: Organizing Nature Days for Children; 3.5 Conclusion; References; 4 A Real-Time Streaming and Detection System for Bio-Acoustic Ecological Studies After the Fukushima Accident; 4.1 Introduction; 4.2 Background; 4.3 Developed System; 4.4 Data Processing; 4.5 Results; 4.6 Discussion; 4.7 Conclusion; References; 5 Towards Improved Air Quality Monitoring Using Publicly Available Sky Images; 5.1 Introduction; 5.2 Related Work; 5.3 Overall Air Quality Monitoring Framework
5.4 Public Image Collection5.4.1 Social Media Platforms; 5.4.2 Webcam Image Collector; 5.4.2.1 Collecting Images from AMOS Repository; 5.4.2.2 Collecting Images from webcams.travel Repository; 5.4.3 Image Collection Statistics; 5.5 Image Analysis for Sky Detection and Localization; 5.5.1 Sky Detection; 5.5.1.1 State of the Art; 5.5.1.2 Sky Detection Framework; 5.5.2 Sky Localization; 5.5.2.1 State of the Art; 5.5.2.2 FCN for Sky Localization; 5.5.2.3 Sky Localization Using Heuristic Rules; 5.5.2.4 Comparison of Sky Localization Methods; 5.6 Air Quality Estimation Based on Sky Color Statistics
2.3 Participant Centered Design and Agile Development2.4 User Interface and User Experience Design; 2.4.1 Mobile Applications and Websites; 2.4.2 UI/UX Best Practice in the Software Development and Design Literature; 2.4.3 UI/UX Considerations Specific to Citizen Science Projects; 2.5 Motivational Factors for Participation; 2.5.1 Learning About Science: Supporting Shared Learning; 2.5.2 Making a Contribution to Science: Designing for Two-Way Communication; 2.5.3 Social Proof: Building and Supporting an Active Community; 2.5.4 Reward-Based Motivations: Sustaining Long-Term Engagement
2.6 Discussion and ConclusionsReferences; 3 A Toolbox for Understanding and Implementing a Citizens' Observatory on Air Monitoring; 3.1 Introduction; 3.2 Overview of the Citizens' Observatory Toolbox; 3.3 Citizens' Observatory Toolbox
Users' and Developers' Perspective; 3.3.1 Users' Perspective; 3.3.2 Developers' Perspective; 3.3.2.1 Architecture; 3.3.2.2 Guidelines; 3.3.2.3 Big Data Aspects; 3.3.2.4 Reusable Widgets; 3.3.2.5 Web Portals; 3.4 Examples for Using Citizens' Observatories Toolbox; 3.4.1 Example 1: Raising Students' Awareness to Air Quality Concepts in Haifa
3.4.2 Example 2: Citizens' Observatories with Users Being Parents with Children and Regular Citizens in Oslo3.4.3 Example 3: Organizing Nature Days for Children; 3.5 Conclusion; References; 4 A Real-Time Streaming and Detection System for Bio-Acoustic Ecological Studies After the Fukushima Accident; 4.1 Introduction; 4.2 Background; 4.3 Developed System; 4.4 Data Processing; 4.5 Results; 4.6 Discussion; 4.7 Conclusion; References; 5 Towards Improved Air Quality Monitoring Using Publicly Available Sky Images; 5.1 Introduction; 5.2 Related Work; 5.3 Overall Air Quality Monitoring Framework
5.4 Public Image Collection5.4.1 Social Media Platforms; 5.4.2 Webcam Image Collector; 5.4.2.1 Collecting Images from AMOS Repository; 5.4.2.2 Collecting Images from webcams.travel Repository; 5.4.3 Image Collection Statistics; 5.5 Image Analysis for Sky Detection and Localization; 5.5.1 Sky Detection; 5.5.1.1 State of the Art; 5.5.1.2 Sky Detection Framework; 5.5.2 Sky Localization; 5.5.2.1 State of the Art; 5.5.2.2 FCN for Sky Localization; 5.5.2.3 Sky Localization Using Heuristic Rules; 5.5.2.4 Comparison of Sky Localization Methods; 5.6 Air Quality Estimation Based on Sky Color Statistics