Announcement: All noncommercial projects registered to use Earth Engine before April 15, 2025 must verify noncommercial eligibility to maintain access. If you have not verified by September 26, 2025, your access may be on hold.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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 distance kernel based on the rectilinear (city-block) distance, also known as the Manhattan distance.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel can be customized using parameters such as radius, units (pixels or meters), normalization, and magnitude scaling.\u003c/p\u003e\n"],["\u003cp\u003eBy default, the kernel uses pixels as units and is not normalized, with a magnitude of 1.\u003c/p\u003e\n"],["\u003cp\u003eThe output is a square matrix of weights representing the distances from the center pixel, as illustrated in the provided examples.\u003c/p\u003e\n"],["\u003cp\u003eThis kernel is commonly used in image processing for operations like edge detection and feature extraction, where rectilinear distances are relevant.\u003c/p\u003e\n"]]],["This tool generates a rectilinear (city-block) distance kernel using `ee.Kernel.manhattan`. Key actions involve setting the `radius`, specifying `units` as pixels or meters, and optionally `normalize` the kernel to sum to 1, and `magnitude` to scale each value. The kernel's output is a matrix, where each cell's value represents its distance.\n"],null,[]]