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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rs of Earth Engine.Organized to allow users with multiple exThis 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 hu

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Gewalt an Schulen als Medienereignisuced to image data from several sensors aboard various satellite platforms. At the completion of the chapter, you will be able to understand the difference between remotely sensed datasets based on these characteristics and how to choose an appropriate dataset for your analysis based on these concepts.

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Clouds and Image Compositing provide additional opportunities for image composite development. Pixel selection for composite development can exclude unwanted pixels—such as those impacted by cloud, shadow, and smoke or haze—and can also preferentially select pixels based upon proximity to a target date or a preferred sensor type.

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Book‘‘‘‘‘‘‘‘ 2024et 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 broad