Linked e-resources
Details
Table of Contents
Intro
Contents
Chapter 1: What Is "Actionable" Science for Climate and Environment?
1 Introduction
2 Definition of Actionable Science
3 How to Measure the Actionableness of Climate and Environment Projects?
3.1 Relevance Between Research and Action
3.2 Feasibility for Implementation
3.3 Public Understanding
3.4 Impact on Society
3.5 Practicality by Operators
3.6 Engagement with the Stakeholders and End Users
4 The World Is Real Time, Should Science Be Real Time Too?
5 Controlling Sunk Costs
6 Why Do We Write This Book?
7 What Can the Readers Expect from the Book?
8 Summary
References
Chapter 2: Data Foundation for Actionable Science
1 Introduction
2 Data Categories and Availability for Actionable Science
2.1 Satellite Data
2.2 In Situ Data
2.3 Model Simulation Data
2.4 Citizen Science Data
2.5 Social Media Data
3 Data Discovery and Retrieval
4 Data Preprocessing and Cleaning
5 Data Integration and Management in Environmental Sciences
6 Continuous Operation and Maintenance of Data Stream
7 Challenges in Data Community to Support Actionable Science
8 Conclusion
9 Lessons Learnt
10 Open Questions and Brainstorming Solutions for Future
References
Chapter 3: Technology Landscape for Making Climate and Environmental Science "Actionable"
1 Introduction
2 Data Collection and Processing Technologies
2.1 Sensors and Internet of Things (IoT) Devices
2.2 Remote Sensing Technologies
2.3 Big Data Analytics
2.4 Data Visualization Tools
3 Modeling and Simulation Technologies
3.1 Climate and Environmental Modeling Tools
3.2 Artificial Intelligence (AI) and Machine Learning
4 Communication and Collaboration Technologies
4.1 Social Media and Online Communities
4.2 Collaboration Tools and Platforms
4.3 Video Conferencing and Remote Collaboration Tools
5 Emerging Technologies for Making Science Actionable
5.1 Blockchain and Distributed Ledger Technology
5.2 Quantum Computing
5.3 5G and Other Advanced Network Technologies
5.4 Nanotechnology and Advanced Materials
5.5 Edge Computing
6 Case Studies of Technology Applications in Making Science Actionable
6.1 Flood Monitoring and Early Warning Systems
6.2 Forest Fire Detection and Monitoring
6.3 Precision Agriculture and Irrigation Management
6.4 Biodiversity Monitoring and Conservation
6.5 Carbon Footprint Tracking and Emission Reduction
7 Challenges and Future Directions
7.1 Ethical Considerations in Technology Applications
7.2 Interdisciplinary Collaboration Challenges
7.3 Future Technological Developments and Their Potential Impact
8 Conclusion
References
Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction
1 Introduction
2 Current Practice in the Industry, Government, and Local Community
Contents
Chapter 1: What Is "Actionable" Science for Climate and Environment?
1 Introduction
2 Definition of Actionable Science
3 How to Measure the Actionableness of Climate and Environment Projects?
3.1 Relevance Between Research and Action
3.2 Feasibility for Implementation
3.3 Public Understanding
3.4 Impact on Society
3.5 Practicality by Operators
3.6 Engagement with the Stakeholders and End Users
4 The World Is Real Time, Should Science Be Real Time Too?
5 Controlling Sunk Costs
6 Why Do We Write This Book?
7 What Can the Readers Expect from the Book?
8 Summary
References
Chapter 2: Data Foundation for Actionable Science
1 Introduction
2 Data Categories and Availability for Actionable Science
2.1 Satellite Data
2.2 In Situ Data
2.3 Model Simulation Data
2.4 Citizen Science Data
2.5 Social Media Data
3 Data Discovery and Retrieval
4 Data Preprocessing and Cleaning
5 Data Integration and Management in Environmental Sciences
6 Continuous Operation and Maintenance of Data Stream
7 Challenges in Data Community to Support Actionable Science
8 Conclusion
9 Lessons Learnt
10 Open Questions and Brainstorming Solutions for Future
References
Chapter 3: Technology Landscape for Making Climate and Environmental Science "Actionable"
1 Introduction
2 Data Collection and Processing Technologies
2.1 Sensors and Internet of Things (IoT) Devices
2.2 Remote Sensing Technologies
2.3 Big Data Analytics
2.4 Data Visualization Tools
3 Modeling and Simulation Technologies
3.1 Climate and Environmental Modeling Tools
3.2 Artificial Intelligence (AI) and Machine Learning
4 Communication and Collaboration Technologies
4.1 Social Media and Online Communities
4.2 Collaboration Tools and Platforms
4.3 Video Conferencing and Remote Collaboration Tools
5 Emerging Technologies for Making Science Actionable
5.1 Blockchain and Distributed Ledger Technology
5.2 Quantum Computing
5.3 5G and Other Advanced Network Technologies
5.4 Nanotechnology and Advanced Materials
5.5 Edge Computing
6 Case Studies of Technology Applications in Making Science Actionable
6.1 Flood Monitoring and Early Warning Systems
6.2 Forest Fire Detection and Monitoring
6.3 Precision Agriculture and Irrigation Management
6.4 Biodiversity Monitoring and Conservation
6.5 Carbon Footprint Tracking and Emission Reduction
7 Challenges and Future Directions
7.1 Ethical Considerations in Technology Applications
7.2 Interdisciplinary Collaboration Challenges
7.3 Future Technological Developments and Their Potential Impact
8 Conclusion
References
Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction
1 Introduction
2 Current Practice in the Industry, Government, and Local Community