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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o 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..978-3-031-26590-7978-3-031-26588-4

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Image Manipulation: Bands, Arithmetic, Thresholds, and Masks

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Accuracy Assessment: Quantifying Classification Quality

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Cloud-Based Remote Sensing with Google Earth EngineFundamentals and App

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Cloud-Based Remote Sensing with Google Earth Engine978-3-031-26588-4

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The Remote Sensing Vocabularyne. We discuss spatial resolution, temporal resolution, and spectral resolution, along with how to access important image metadata. You will be introduced to image data from several sensors aboard various satellite platforms. At the completion of the chapter, you will be able to understand the diffe

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Aggregating Images for Time Series, require computing aggregations of data at time intervals different from those at which the datasets were produced. This chapter will cover the techniques for aggregating individual images from a time series at a chosen interval. We will take the CHIRPS time series of rainfall for one year and aggr

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