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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://library.oapen.org/handle/20.500.12657/76709
    Keywords
    Cloud computing; Remote sensing; Satellite imagery; Big data; Image processing; Historical change
    DOI
    10.1007/978-3-031-26588-4
    ISBN
    9783031265884, 9783031265877, 9783031265884
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2024
    Imprint
    Springer International Publishing
    Pages
    1226
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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