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Published by Elsevier Science Ltd, 2025
ISBN 10: 0443313806 ISBN 13: 9780443313806
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443313806 ISBN 13: 9780443313806
Language: English
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Seller: moluna, Greven, Germany
Condition: New. Includes utilization of AI with GEE tools for a spectrum of scientific domains in remote sensing and geographic information systems (GIS) including natural hazard assessment, aquatic and hydrological applications, and forest coverHighlights.
Published by Elsevier - Health Sciences Division Jun 2025, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Taschenbuch. Condition: Neu. Neuware - Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
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Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Paperback. Condition: new. Paperback. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 390 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443313806 ISBN 13: 9780443313806
Language: English
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443313806 ISBN 13: 9780443313806
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Earth Observation using Scatterometers: State-of-the-Art Techniques, Applications, and Challenges explores the critical role scatterometers play in addressing natural disasters, climate action, and food security. It provides comprehensive guidance on leveraging scatterometers for real-time applications, including advanced techniques like super-resolution mapping and multi-source data fusion. This book is an essential resource for understanding the challenges and opportunities of scatterometer satellite datasets. In addition to covering the latest advancements in algorithms and emerging applications, it empowers professionals to efficiently analyze vast amounts of Earth observation data.The book addresses scatterometers' expanding applicability in oceanography, agriculture, the cryosphere, and related Earth-science fields, making it invaluable for scientists, geospatial data analysts, and students of Remote Sensing and Geoscience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.