Articles liés à AI and Remote Sensing for Earth Sciences
À propos de l'auteur
Mehmet Ali Çelik is an Assoc. Prof. of Physical Geography. He focuses on the interaction between climate variables, nature and the environment. His multidisciplinary research interests include remote sensing and GIS studies involving climate, natural resource management, and disasters. Dr. Çelik uses multispectral and hyperspectral remote sensing and GIS to monitor changes to ecosystems and analyse the contribution of natural and anthropogenic factors to these changes.
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Paperback. Etat : new. Paperback. The rapid advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the way Earth sciences are studied, analyzed, and applied. Traditional approaches to understanding natural systems often face challenges due to complexity, non-linearity, and vast data volumes inherent in environmental and geospatial research. AI provides powerful tools to process, model, and interpret these massive datasets. Further exploration may enable researchers to uncover hidden patterns, improve predictive capabilities, and support evidence-based decision-making. AI and Remote Sensing for Earth Sciences examines how AI-driven techniques transform disciplines like climate change research, geospatial analysis, hydrology, geology, atmospheric sciences, oceanography, and natural hazard management. It explores the diverse applications of AI in addressing global challenges, environmental crises, and societal issues. This book covers topics such as data science, machine learning, and agricultural science and engineering, and is a useful resource for engineers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337387468
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Paperback. Etat : new. Paperback. The rapid advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the way Earth sciences are studied, analyzed, and applied. Traditional approaches to understanding natural systems often face challenges due to complexity, non-linearity, and vast data volumes inherent in environmental and geospatial research. AI provides powerful tools to process, model, and interpret these massive datasets. Further exploration may enable researchers to uncover hidden patterns, improve predictive capabilities, and support evidence-based decision-making. AI and Remote Sensing for Earth Sciences examines how AI-driven techniques transform disciplines like climate change research, geospatial analysis, hydrology, geology, atmospheric sciences, oceanography, and natural hazard management. It explores the diverse applications of AI in addressing global challenges, environmental crises, and societal issues. This book covers topics such as data science, machine learning, and agricultural science and engineering, and is a useful resource for engineers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337387468
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Paperback. Etat : new. Paperback. The rapid advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the way Earth sciences are studied, analyzed, and applied. Traditional approaches to understanding natural systems often face challenges due to complexity, non-linearity, and vast data volumes inherent in environmental and geospatial research. AI provides powerful tools to process, model, and interpret these massive datasets. Further exploration may enable researchers to uncover hidden patterns, improve predictive capabilities, and support evidence-based decision-making. AI and Remote Sensing for Earth Sciences examines how AI-driven techniques transform disciplines like climate change research, geospatial analysis, hydrology, geology, atmospheric sciences, oceanography, and natural hazard management. It explores the diverse applications of AI in addressing global challenges, environmental crises, and societal issues. This book covers topics such as data science, machine learning, and agricultural science and engineering, and is a useful resource for engineers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337387468
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Taschenbuch. Etat : Neu. AI and Remote Sensing for Earth Sciences | Mehmet Ali Çelik | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337387468 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134998352
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid advancements in artificial intelligence (AI) and machine learning (ML) have revolutionized the way Earth sciences are studied, analyzed, and applied. Traditional approaches to understanding natural systems often face challenges due to complexity, non-linearity, and vast data volumes inherent in environmental and geospatial research. AI provides powerful tools to process, model, and interpret these massive datasets. Further exploration may enable researchers to uncover hidden patterns, improve predictive capabilities, and support evidence-based decision-making. AI and Remote Sensing for Earth Sciences examines how AI-driven techniques transform disciplines like climate change research, geospatial analysis, hydrology, geology, atmospheric sciences, oceanography, and natural hazard management. It explores the diverse applications of AI in addressing global challenges, environmental crises, and societal issues. This book covers topics such as data science, machine learning, and agricultural science and engineering, and is a useful resource for engineers, academicians, researchers, and environmental scientists. N° de réf. du vendeur 9798337387468
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