ee.ImageCollection.toBands
संग्रह की मदद से व्यवस्थित रहें
अपनी प्राथमिकताओं के आधार पर, कॉन्टेंट को सेव करें और कैटगरी में बांटें.
यह फ़ंक्शन, किसी कलेक्शन को एक ही मल्टी-बैंड इमेज में बदलता है. इस इमेज में, कलेक्शन की हर इमेज के सभी बैंड शामिल होते हैं. आउटपुट बैंड के नाम, मौजूदा बैंड के नामों के आगे उस इमेज का आईडी जोड़कर बनाए जाते हैं जिससे वे बने हैं. उदाहरण के लिए, 'image1_band1'). ध्यान दें: ज़्यादा से ज़्यादा 5,000 बैंड बनाए जा सकते हैं.
| इस्तेमाल | रिटर्न |
|---|
ImageCollection.toBands() | इमेज |
| आर्ग्यूमेंट | टाइप | विवरण |
|---|
यह: collection | ImageCollection | इनपुट कलेक्शन. |
उदाहरण
कोड एडिटर (JavaScript)
// A Landsat 8 TOA image collection (2 months of images at a specific point).
var col = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filterBounds(ee.Geometry.Point(-90.70, 34.71))
.filterDate('2020-07-01', '2020-09-01')
.select('B[4-5]'); // Get NIR and SWIR1 bands only.
print('Collection', col);
// Convert the image collection to a single multi-band image. Note that image ID
// ('system:index') is prepended to band names to delineate the source images.
var img = col.toBands();
print('Collection to bands', img);
// Band order is determined by collection order. Here, the collection is
// sorted in descending order of the date of observation (reverse of previous).
var bandOrder = col.sort('DATE_ACQUIRED', false).toBands();
print('Customized band order', bandOrder);
Python सेटअप करना
Python API और इंटरैक्टिव डेवलपमेंट के लिए geemap का इस्तेमाल करने के बारे में जानकारी पाने के लिए,
Python एनवायरमेंट पेज देखें.
import ee
import geemap.core as geemap
Colab (Python)
# A Landsat 8 TOA image collection (2 months of images at a specific point).
col = (
ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')
.filterBounds(ee.Geometry.Point(-90.70, 34.71))
.filterDate('2020-07-01', '2020-09-01')
.select('B[4-5]')
) # Get NIR and SWIR1 bands only.
print('Collection:', col.getInfo())
# Convert the image collection to a single multi-band image. Note that image ID
# ('system:index') is prepended to band names to delineate the source images.
img = col.toBands()
print('Collection to bands:', img.getInfo())
# Band order is determined by collection order. Here, the collection is
# sorted in descending order of the date of observation (reverse of previous).
band_order = col.sort('DATE_ACQUIRED', False).toBands()
print('Customized band order:', band_order.getInfo())
जब तक कुछ अलग से न बताया जाए, तब तक इस पेज की सामग्री को Creative Commons Attribution 4.0 License के तहत और कोड के नमूनों को Apache 2.0 License के तहत लाइसेंस मिला है. ज़्यादा जानकारी के लिए, Google Developers साइट नीतियां देखें. Oracle और/या इससे जुड़ी हुई कंपनियों का, Java एक रजिस्टर किया हुआ ट्रेडमार्क है.
आखिरी बार 2025-07-26 (UTC) को अपडेट किया गया.
[null,null,["आखिरी बार 2025-07-26 (UTC) को अपडेट किया गया."],[[["\u003cp\u003e\u003ccode\u003etoBands()\u003c/code\u003e transforms an ImageCollection into a single multi-band image, combining all bands from each image within the collection.\u003c/p\u003e\n"],["\u003cp\u003eBand names in the output image are prefixed with the original image ID to identify their source.\u003c/p\u003e\n"],["\u003cp\u003eThe band order in the output image reflects the order of images within the input collection, which can be controlled using \u003ccode\u003esort()\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThere is a limit of 5000 bands for the output multi-band image.\u003c/p\u003e\n"]]],["The `toBands()` method converts an ImageCollection into a single multi-band Image. Each band in the resulting image corresponds to a band from an image in the collection. The output band names are prefixed with the source image's ID. The order of bands in the output image matches the order of images in the collection. Users can sort the collection to customize the band order, however the maximum band limit is 5000.\n"],null,["# ee.ImageCollection.toBands\n\nConverts a collection to a single multi-band image containing all of the bands of every image in the collection. Output bands are named by prefixing the existing band names with the image id from which it came (e.g., 'image1_band1'). Note: The maximum number of bands is 5000.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------|---------|\n| ImageCollection.toBands`()` | Image |\n\n| Argument | Type | Details |\n|--------------------|-----------------|-----------------------|\n| this: `collection` | ImageCollection | The input collection. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// A Landsat 8 TOA image collection (2 months of images at a specific point).\nvar col = ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filterBounds(ee.Geometry.Point(-90.70, 34.71))\n .filterDate('2020-07-01', '2020-09-01')\n .select('B[4-5]'); // Get NIR and SWIR1 bands only.\nprint('Collection', col);\n\n// Convert the image collection to a single multi-band image. Note that image ID\n// ('system:index') is prepended to band names to delineate the source images.\nvar img = col.toBands();\nprint('Collection to bands', img);\n\n// Band order is determined by collection order. Here, the collection is\n// sorted in descending order of the date of observation (reverse of previous).\nvar bandOrder = col.sort('DATE_ACQUIRED', false).toBands();\nprint('Customized band order', bandOrder);\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# A Landsat 8 TOA image collection (2 months of images at a specific point).\ncol = (\n ee.ImageCollection('LANDSAT/LC08/C02/T1_TOA')\n .filterBounds(ee.Geometry.Point(-90.70, 34.71))\n .filterDate('2020-07-01', '2020-09-01')\n .select('B[4-5]')\n) # Get NIR and SWIR1 bands only.\nprint('Collection:', col.getInfo())\n\n# Convert the image collection to a single multi-band image. Note that image ID\n# ('system:index') is prepended to band names to delineate the source images.\nimg = col.toBands()\nprint('Collection to bands:', img.getInfo())\n\n# Band order is determined by collection order. Here, the collection is\n# sorted in descending order of the date of observation (reverse of previous).\nband_order = col.sort('DATE_ACQUIRED', False).toBands()\nprint('Customized band order:', band_order.getInfo())\n```"]]
