[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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\u003eCreates a 2x2 kernel used for Roberts edge detection, a method for identifying edges in images by approximating the gradient.\u003c/p\u003e\n"],["\u003cp\u003eThe kernel's values can be scaled using the \u003ccode\u003emagnitude\u003c/code\u003e parameter and normalized to sum to 1 using the \u003ccode\u003enormalize\u003c/code\u003e parameter.\u003c/p\u003e\n"],["\u003cp\u003eThe default kernel has the values \u003ccode\u003e[[1, 0], [0, -1]]\u003c/code\u003e, which represent the weights applied to neighboring pixels to calculate the edge strength.\u003c/p\u003e\n"]]],[],null,["# ee.Kernel.roberts\n\nGenerates a 2x2 Roberts edge-detection kernel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------------------------------------------|---------|\n| `ee.Kernel.roberts(`*magnitude* `, `*normalize*`)` | Kernel |\n\n| Argument | Type | Details |\n|-------------|-------------------------|------------------------------------------|\n| `magnitude` | Float, default: 1 | Scale each value by this amount. |\n| `normalize` | Boolean, default: false | Normalize the kernel values to sum to 1. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint('A Roberts kernel', ee.Kernel.roberts());\n\n/**\n * Output weights matrix; center is position [1,1]\n *\n * [1, 0]\n * [0, -1]\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 Roberts kernel:')\npprint(ee.Kernel.roberts().getInfo())\n\n# Output weights matrix; center is position [1,1]\n\n# [1, 0]\n# [0, -1]\n```"]]
