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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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 plus-shaped kernel (a matrix of weights) for image processing.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel's radius, units of measurement, normalization, and magnitude can be customized.\u003c/p\u003e\n"],["\u003cp\u003eBy default, the kernel values are normalized to sum to 1 and have a magnitude of 1.\u003c/p\u003e\n"],["\u003cp\u003eThis kernel can be applied to images to perform operations like edge detection or feature extraction where a cross-shaped neighborhood is relevant.\u003c/p\u003e\n"]]],["A plus-shaped kernel is generated using `ee.Kernel.plus`, taking a `radius` to define its size. The `units` parameter, defaulting to 'pixels', can be set to 'meters' for zoom-responsive sizing. The kernel values can be normalized to sum to 1 with the `normalize` parameter (default true) or scaled by a `magnitude`. The kernel output is shown as a matrix with weighted values.\n"],null,["# ee.Kernel.plus\n\nGenerates a plus-shaped boolean kernel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------------------------------------------|---------|\n| `ee.Kernel.plus(radius, `*units* `, `*normalize* `, `*magnitude*`)` | Kernel |\n\n| Argument | Type | Details |\n|-------------|---------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `radius` | Float | The radius of the kernel to generate. |\n| `units` | String, default: \"pixels\" | The system of measurement for the kernel ('pixels' or 'meters'). If the kernel is specified in meters, it will resize when the zoom-level is changed. |\n| `normalize` | Boolean, default: true | Normalize the kernel values to sum to 1. |\n| `magnitude` | Float, default: 1 | Scale each value by this amount. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint('A plus kernel', ee.Kernel.plus({radius: 3}));\n\n/**\n * Output weights matrix (1/1000 precision shown for brevity)\n *\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.076, 0.076, 0.076, 0.076, 0.076, 0.076, 0.076]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n * [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n */\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\nfrom pprint import pprint\n\nprint('A plus kernel:')\npprint(ee.Kernel.plus(**{'radius': 3}).getInfo())\n\n# Output weights matrix (1/1000 precision shown for brevity)\n\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.076, 0.076, 0.076, 0.076, 0.076, 0.076, 0.076]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n# [0.000, 0.000, 0.000, 0.076, 0.000, 0.000, 0.000]\n```"]]