Observation and AI Techniques for Digital Earth
- 1st Edition - April 1, 2027
- Latest edition
- Authors: Zhihua Zhang, Michael James Cardwell Crabbe, Daniele Contini, Daniela Cesari
- Language: English
Observation and AI Techniques for Digital Earth examines observation and artificial intelligence techniques being incorporating into Digital Earth, including data mining, deep l… Read more
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Description
Description
Key features
Key features
- Covers detailed AI technique advances, including data mining, deep learning, cloud computing, and the Internet of Things being incorporated into Digital Earth
- Reflects efficient AI applications and commercialization in Digital Earth to promote data acquisition, mechanism mining, and impact analyses across the entire spectrum of Earth and environmental sciences
- Includes case studies and examples of AI applications in areas like disaster mitigation, precision agriculture, and biodiversity protection
- Aligns with United Nations' Sustainable Development Goals by emphasizing the role of AI and Digital Earth in promoting sustainability and addressing global environmental challenges
Readership
Readership
Table of contents
Table of contents
1.1 Atmosphere, Oceans and Land
1.2 Global Warming Impacts
1.3 Environmental Pollution: Effects and Prevention
1.4 Ecosystems Adapting to Extreme Environments
1.5 Climate Mitigation and Strategies
1.6 Geoengineering the Planet
1.7 Sustainability Development Goals
1.8 Environment Footprint of Digital Technologies
1.9 Digital Earth Platform
2. Integrated Observation System
2.1 Real-time High-Resolution Observation Network
2.2 Downscaling and Mining Techniques
2.3 Atmosphere Environmental Monitoring
2.4 Marine Environmental Monitoring
2.5 Land Environmental Monitoring
2.6 Spatial Statistics Techniques
2.7 Google Earth
3. Principles in Artificial Intelligence
3.1 Regression and Regularization
3.2 Bagging and Boosting
3.3 Network Layer and Structure
3.4 Optimizers for AI Models
3.5 Entropy and Mutual Information
3.6 Generalization, Uncertainty and Robustness
4. Specific Artificial Intelligence in Digital Earth
4.1 Sparse and Irregular Observations
4.2 Frame Representation
4.3 Multi-Channel Data Mining System
4.4 Frame Learning and Optimization
4.5 Hybrid of Frame Learning
4.6 Downscaling from Sparse and Irregular Observations
4.7 High-Resolution Environmental Evolution Maps
5. Geospatial Artificial Intelligence
5.1 Remote Sensing Observation
5.2 Denoising and Distortion
5.3 Wavelet-EMD Coupling Denoising Techniques
5.4 Low-Rank Matrix Restoration Techniques
5.5 Hyperspectral Image Classification
5.6 Few-Shot Meta Learning
5.7 Ensemble of Meta Learning with Updated Integration
5.8 Robustness and Generalization in Land-Cover Classification
5.9 Land Use and Planning
5.10 Biodiversity Protection
5.11 Geological Exploration
6. Atmospheric Particulate Matters
6.1 Introduction
6.2 Measurement Techniques and Applications
6.3 Chemical Transport Models
6.4 Receptor-Oriented Models
6.5 Coupling Strategies of High/Low Temporal Measurements
6.6 Automatic AI Techniques
7. Source Apportionment and Tracking
7.1 PM10 Contribution of Coal-Fired Power Plants
7.2 PM2.5 and PNC Contribution of Shipping Sector
7.3 Size-Segregated Source Apportionment
7.4 Multisite Source Apportionment
7.5 Toxicity Apportionment Contribution
8. Commercializing AI Techniques in Digital Earth
8.1 Small-Scale Versus Large-Scale Models
8.2 Supported Information Infrastructure
8.3 Satellite Navigation
8.4 Disaster Mitigation
8.5 Weather Forecasts
8.6 Precision Agriculture
8.7 Spatial Visualization Education
8.8 Sustainability, Ethical and Governance Challenges
Product details
Product details
- Edition: 1
- Latest edition
- Published: April 1, 2027
- Language: English
About the authors
About the authors
ZZ
Zhihua Zhang
Prof. Zhihua Zhang is a Taishan Distinguished Professor at Shandong University (China) and is leading an AI for Digital Earth research group. His long-standing research focuses on Digital Earth, Earth system dynamics, Environmental evolution and Sustainability. Prof Zhang has published many Elsevier/Springer books as the first author and more than 80 articles as the first/corresponding author, highlighted many times by New Scientist (UK), China Science Daily, and China Social Science Daily. Due to his research achievement on AI for Digital Earth, Prof Zhang was elected as an IETI fellow in 2025. Currently, Prof. Zhang is serving in many global and regional known journals as an Editor-in-Chief, Associate Editor or Editorial Board Member, chairing the first tracks at the Mediterranean Geosciences Union Annual Meeting and has delivered several plenary/keynote presentations at international conferences.
MC
Michael James Cardwell Crabbe
Prof. M. James C. Crabbe is a Fellow at Wolfson College, University of Oxford, where he was a Governing Body Fellow, and has served as Professor and Head of School at the University of Reading and Executive Dean of Creative Arts, Technologies & Science at the University of Bedfordshire. His research focuses on international environmental challenges, including marine conservation, coral reef preservation, and climate change. He has published more than 400 refereed journal articles, books and major book chapters, and 14 items of commercial software, and delivers plenary presentations at major international conferences. He serves as President of the International Engineering and Technology Institute and Academician of the World Academy of Sustainable Development and the World Sustainable Development Institute (WAOSD/WSDI). He is also a Fellow and former Vice-President and Council Member of the Institute of Marine Engineering, Science & Technology and a member of the UK Government’s Deep Sea Mining network. He is a Distinguished Visiting Professor at a number of Universities, and is an elected Member of the China Association of the Club of Rome.
DC
Daniele Contini
Dr. Daniele Contini is Research Director at the Institute of Atmospheric Sciences and Climate of the National Research Council (ISAC-CNR), where he coordinates research on atmospheric composition, climate forcing, and air quality. His research focuses on atmospheric sciences, particularly particulate matter sources and trends, health and toxicological effects of atmospheric particulate matter, particulate dynamics in the surface boundary layer, and atmospheric pollutant dispersion and modelling. He has coordinated regional, national, and international research projects and established collaborations with international research groups in atmospheric and climate sciences. He is Editor in Chief of the Journal Atmosphere and part of the editorial board of several scientific Journals. He was founding member and President (2018-2025) of the Italian Aerosol Society. He is Chair of the European Aerosol Assembly’s working group on Atmospheric Aerosol Studies. He is also Principal Investigator of the Environmental-Climate Observatory (ECO) of Lecce, part of the WMO Global Atmosphere Watch and ACTRIS networks.
DC