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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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\u003e\u003ccode\u003ereduceToImage\u003c/code\u003e creates an image from a FeatureCollection by applying a reducer to feature properties within each pixel.\u003c/p\u003e\n"],["\u003cp\u003eThe reducer combines the properties of features intersecting a pixel into a single pixel value in the output image.\u003c/p\u003e\n"],["\u003cp\u003eYou must specify the properties to include and the reducer to use when calling \u003ccode\u003ereduceToImage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eOutput image projection is determined by subsequent operations like \u003ccode\u003ereproject\u003c/code\u003e or \u003ccode\u003eExport\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,["# ee.FeatureCollection.reduceToImage\n\nCreates an image from a feature collection by applying a reducer over the selected properties of all the features that intersect each pixel.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------------------------|---------|\n| FeatureCollection.reduceToImage`(properties, reducer)` | Image |\n\n| Argument | Type | Details |\n|--------------------|-------------------|-------------------------------------------------------------------------------------------------------------|\n| this: `collection` | FeatureCollection | Feature collection to intersect with each output pixel. |\n| `properties` | List | Properties to select from each feature and pass into the reducer. |\n| `reducer` | Reducer | A Reducer to combine the properties of each intersecting feature into a final result to store in the pixel. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// FeatureCollection of power plants in Belgium.\nvar fc = ee.FeatureCollection('WRI/GPPD/power_plants')\n .filter('country_lg == \"Belgium\"');\n\n// Create an image from features; pixel values are determined from reduction of\n// property values of the features intersecting each pixel.\nvar image = fc.reduceToImage({\n properties: ['gwh_estimt'],\n reducer: ee.Reducer.sum()\n});\n\n// The goal is to sum the electricity generated in 2015 for the power plants\n// intersecting 10 km cells and view the result as a map layer.\n// ee.FeatureCollection.reduceToImage does not allow the image projection to be\n// set because it is waiting on downstream functions that include \"crs\",\n// \"scale\", and \"crsTransform\" parameters to define it (e.g., Export.image.*).\n// Here, we'll force the projection with ee.Image.reproject so the result can be\n// viewed in the map. Note that using small scales with reproject while viewing\n// large regions breaks the features that make Earth Engine fast and may result\n// in poor performance and/or errors.\nimage = image.reproject('EPSG:3035', null, 10000);\n\n// Display the image on the map.\nMap.setCenter(4.3376, 50.947, 8);\nMap.setLocked(true);\nMap.addLayer(\n image.updateMask(image.gt(0)),\n {min: 0, max: 2000, palette: ['yellow', 'orange', 'red']},\n 'Total estimated annual electricity generation, 2015');\nMap.addLayer(fc, null, 'Belgian power plants');\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\n# FeatureCollection of power plants in Belgium.\nfc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(\n 'country_lg == \"Belgium\"'\n)\n\n# Create an image from features pixel values are determined from reduction of\n# property values of the features intersecting each pixel.\nimage = fc.reduceToImage(properties=['gwh_estimt'], reducer=ee.Reducer.sum())\n\n# The goal is to sum the electricity generated in 2015 for the power plants\n# intersecting 10 km cells and view the result as a map layer.\n# ee.FeatureCollection.reduceToImage does not allow the image projection to be\n# set because it is waiting on downstream functions that include \"crs\",\n# \"scale\", and \"crsTransform\" parameters to define it (e.g., Export.image.*).\n# Here, we'll force the projection with ee.Image.reproject so the result can be\n# viewed in the map. Note that using small scales with reproject while viewing\n# large regions breaks the features that make Earth Engine fast and may result\n# in poor performance and/or errors.\nimage = image.reproject('EPSG:3035', None, 10000)\n\n# Display the image on the map.\nm = geemap.Map()\nm.set_center(4.3376, 50.947, 8)\nm.add_layer(\n image.updateMask(image.gt(0)),\n {'min': 0, 'max': 2000, 'palette': ['yellow', 'orange', 'red']},\n 'Total estimated annual electricity generation, 2015',\n)\nm.add_layer(fc, None, 'Belgian power plants')\nm\n```"]]