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            Cloud-Based Remote Sensing with Google Earth Engine

            Fundamentals and Applications

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            Contributor(s)
            Cardille, Jeffrey A. (editor)
            Crowley, Morgan A. (editor)
            Saah, David (editor)
            Clinton, Nicholas E. (editor)
            Language
            English
            Show full item record
            Abstract
            This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants. Cloud Based Remote Sensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data This is an open access book.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/190839
            Keywords
            Cloud computing; Remote sensing; Satellite imagery; Big data; Image processing; Historical change
            DOI
            10.1007/978-3-031-26588-4
            ISBN
            9783031265884, 9783031265877
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2024
            Imprint
            Springer International Publishing
            Pages
            1226
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            Credits


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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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