Neighborhood-based image transformations enable information from the pixels surrounding a focal pixel to inform the function transforming the value in the focal pixel (Fig. This code base is collection of codes that are freely available from different authors for google earth engine. Perform basic image analysis: select bands, compute indices, create masks, classify images (Part F2).Import images and image collections, filter, and visualize (Part F1).Viewing a variety of neighborhood-based image transformations in Earth Engine.Applying kernels for image convolution to smooth and enh ance images.Performing image morphological operations.All of these transformations leverage a neighborhood of multiple pixels around the focal pixel to inform the transformation of the focal pixel. This chapter builds on image transformations to include a spatial component. Karen Dyson, Andréa Puzzi Nicolau, David Saah, Nicholas Clinton 2 : Neighborhood-Based Image Transformation These include creating regressions among image bands, transforming images with pixel-based and neighborhood-based techniques, and grouping individual pixels into objects that can then be classified.Ĭhapter F3. Once you understand the basics of processing images in Earth Engine, this Part will present some of the more advanced processing tools available for treating individual images.
Cloud-Based Remote Sensing with Google Earth Engine
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