Artificial Intelligence and Geomatic Technology
Language: English
Published by Springer Okt 2026, 2026
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 214.13
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -This book presents the peer-reviewed proceedings of the International Conference on Artificial Intelligence and Geomatic Technology (ICAIGT 2026), bringing together contributions from researchers, engineers, and academics working at the intersection of artificial intelligence and geospatial sciences. Artificial Intelligence and Geomatic Technology are rapidly transforming the way environmental systems, natural resources, and spatial phenomena are monitored, analyzed, and managed. By integrating advances in GeoAI, remote sensing, machine learning, and geospatial analytics, researchers and practitioners are developing innovative solutions to address some of the world’s most pressing challenges, including climate change, sustainable agriculture, disaster risk management, water scarcity, and smart environmental monitoring.The book highlights recent advances in spatial machine learning, Earth observation analytics, hyperspectral data fusion, UAV-based monitoring, environmental modeling, and digital twin technologies.The chapters provide both methodological innovations and real-world applications, with a particular focus on semi-arid and developing regions where geospatial intelligence and AI-driven decision support systems can significantly contribute to sustainable development and environmental resilience.The book is organized into four thematic sections covering:• GeoAI and spatial machine learning.• Remote sensing and earth observation analytics.• Natural resource management and geospatial intelligence.• Digital twins and smart environment monitoring.By combining theoretical foundations with practical case studies, this book serves as a valuable resource for researchers, graduate students, engineers, and professionals in artificial intelligence, remote sensing, geomatics, environmental sciences, and smart monitoring systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch. …
Seller Inventory # 9783032305459
- Title
- Artificial Intelligence and Geomatic Technology
- Author
- El Mostafa Bachaoui
- Publisher
- Springer Okt 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3032305454
- ISBN 13
- 9783032305459
- Item weight
- 522 grams
- Dimensions
- 235x155x19 mm
This book presents the peer-reviewed proceedings of the International Conference on Artificial Intelligence and Geomatic Technology (ICAIGT 2026), bringing together contributions from researchers, engineers, and academics working at the intersection of artificial intelligence and geospatial sciences. Artificial Intelligence and Geomatic Technology are rapidly transforming the way environmental systems, natural resources, and spatial phenomena are monitored, analyzed, and managed. By integrating advances in GeoAI, remote sensing, machine learning, and geospatial analytics, researchers and practitioners are developing innovative solutions to address some of the world’s most pressing challenges, including climate change, sustainable agriculture, disaster risk management, water scarcity, and smart environmental monitoring.
The book highlights recent advances in spatial machine learning, Earth observation analytics, hyperspectral data fusion, UAV-based monitoring, environmental modeling, and digital twin technologies.
The chapters provide both methodological innovations and real-world applications, with a particular focus on semi-arid and developing regions where geospatial intelligence and AI-driven decision support systems can significantly contribute to sustainable development and environmental resilience.
The book is organized into four thematic sections covering:
• GeoAI and spatial machine learning.
• Remote sensing and earth observation analytics.
• Natural resource management and geospatial intelligence.
• Digital twins and smart environment monitoring.
By combining theoretical foundations with practical case studies, this book serves as a valuable resource for researchers, graduate students, engineers, and professionals in artificial intelligence, remote sensing, geomatics, environmental sciences, and smart monitoring systems.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents the peer-reviewed proceedings of the International Conference on Artificial Intelligence and Geomatic Technology (ICAIGT 2026), bringing together contributions from researchers, engineers, and academics working at the intersection of artificial intelligence and geospatial sciences. Artificial Intelligence and Geomatic Technology are rapidly transforming the way environmental systems, natural resources, and spatial phenomena are monitored, analyzed, and managed. By integrating advances in GeoAI, remote sensing, machine learning, and geospatial analytics, researchers and practitioners are developing innovative solutions to address some of the world’s most pressing challenges, including climate change, sustainable agriculture, disaster risk management, water scarcity, and smart environmental monitoring.
The book highlights recent advances in spatial machine learning, Earth observation analytics, hyperspectral data fusion, UAV-based monitoring, environmental modeling, and digital twin technologies.
The chapters provide both methodological innovations and real-world applications, with a particular focus on semi-arid and developing regions where geospatial intelligence and AI-driven decision support systems can significantly contribute to sustainable development and environmental resilience.
The book is organized into four thematic sections covering:
• GeoAI and spatial machine learning.
• Remote sensing and earth observation analytics.
• Natural resource management and geospatial intelligence.
• Digital twins and smart environment monitoring.
By combining theoretical foundations with practical case studies, this book serves as a valuable resource for researchers, graduate students, engineers, and professionals in artificial intelligence, remote sensing, geomatics, environmental sciences, and smart monitoring systems.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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