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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eGenerates a diamond-shaped kernel for use in image processing operations.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel weights are by default normalized to sum to 1, creating a smoothing effect.\u003c/p\u003e\n"],["\u003cp\u003eYou can control the radius of the diamond kernel and specify its units in pixels or meters.\u003c/p\u003e\n"],["\u003cp\u003eAn optional magnitude argument allows scaling the kernel weights for custom effects.\u003c/p\u003e\n"],["\u003cp\u003eThe diamond kernel is useful for operations that require equal consideration of pixels in all diagonal and orthogonal directions.\u003c/p\u003e\n"]]],["The `ee.Kernel.diamond` function generates a diamond-shaped boolean kernel. Key parameters include `radius`, defining the kernel's size; `units` (pixels or meters), specifying the measurement system; `normalize` (boolean), controlling if values sum to 1; and `magnitude`, used to scale values. The function returns a Kernel object. An example demonstrates creating a radius-3 kernel with a matrix showing the diamond pattern and its weighted values.\n"],null,[]]