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Titlebook: Cloud-Based Remote Sensing with Google Earth Engine; Fundamentals and App Jeffrey A. Cardille,Morgan A. Crowley,Nicholas E. Book‘‘‘‘‘‘‘‘ 2

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書(shū)目名稱(chēng)Cloud-Based Remote Sensing with Google Earth Engine
副標(biāo)題Fundamentals and App
編輯Jeffrey A. Cardille,Morgan A. Crowley,Nicholas E.
視頻videohttp://file.papertrans.cn/229/228501/228501.mp4
概述First published book on Google Earth Engine, a platform with exponentially growing use.Collects techniques and perspectives of prominent users of Earth Engine.Organized to allow users with multiple ex
圖書(shū)封面Titlebook: Cloud-Based Remote Sensing with Google Earth Engine; Fundamentals and App Jeffrey A. Cardille,Morgan A. Crowley,Nicholas E.  Book‘‘‘‘‘‘‘‘ 2
描述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..
出版日期Book‘‘‘‘‘‘‘‘ 2024
關(guān)鍵詞Cloud computing; Remote sensing; Satellite imagery; Big data; Image processing; Historical change; Open Ac
版次1
doihttps://doi.org/10.1007/978-3-031-26588-4
isbn_softcover978-3-031-26590-7
isbn_ebook978-3-031-26588-4
copyrightThe Editor(s) (if applicable) and The Author(s) 2024
The information of publication is updating

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Schülersubjekt und SchulorganisationThis chapter introduces the use of regression to interpret imagery. Regression is one of the fundamental tools you can use to move from viewing imagery to analyzing it. In the present context, regression means predicting a numeric variable for a pixel instead of a categorical variable, such as a class label.
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Interpreting an Image: RegressionThis chapter introduces the use of regression to interpret imagery. Regression is one of the fundamental tools you can use to move from viewing imagery to analyzing it. In the present context, regression means predicting a numeric variable for a pixel instead of a categorical variable, such as a class label.
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https://doi.org/10.1007/978-3-031-26588-4Cloud computing; Remote sensing; Satellite imagery; Big data; Image processing; Historical change; Open Ac
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978-3-031-26590-7The Editor(s) (if applicable) and The Author(s) 2024
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