[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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."],[[["Generates a circle-shaped kernel for use in image processing."],["The kernel's radius can be specified in pixels or meters."],["Kernel values can be normalized to sum to 1 and scaled by a magnitude factor."],["Useful for operations like blurring or smoothing where a circular neighborhood is desired."]]],["`ee.Kernel.circle()` generates a circle-shaped boolean kernel, which is returned as a Kernel object. The function takes `radius` (float) to set the kernel's size. `units` (string, 'pixels' or 'meters') defines the measurement system, with meters resizing at different zoom levels. `normalize` (boolean) determines if kernel values sum to 1. `magnitude` (float) scales each value. Example code provided demonstrate kernel creation in both JavaScript and Python, with resulting matrix outputs.\n"]]