Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330322071 ISBN 13: 9783330322073
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Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
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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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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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 Science Publishing Co Inc, 2022
ISBN 10: 0128234571 ISBN 13: 9780128234570
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Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443273723 ISBN 13: 9780443273728
Language: English
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Add to basketPaperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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