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ee.Image.loadGeoTIFF
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Carica un file GeoTIFF come immagine.
| Utilizzo | Resi |
|---|
ee.Image.loadGeoTIFF(uri) | Immagine |
| Argomento | Tipo | Dettagli |
|---|
uri | Stringa | L'URI Cloud Storage del file GeoTIFF da caricare. I metadati del bucket devono essere accessibili (è richiesta l'autorizzazione "storage.buckets.get" fornita, tra gli altri, dal ruolo "Lettore di bucket legacy di archiviazione"; consulta la pagina https://cloud.google.com/storage/docs/access-control/iam-roles) e il bucket deve trovarsi in una regione multipla degli Stati Uniti, in una regione doppia che include US-CENTRAL1 o nella regione US-CENTRAL1. |
Esempi
Editor di codice (JavaScript)
var uri = 'gs://gcp-public-data-landsat/LC08/01/001/002/' +
'LC08_L1GT_001002_20160817_20170322_01_T2/' +
'LC08_L1GT_001002_20160817_20170322_01_T2_B5.TIF';
var cloudImage = ee.Image.loadGeoTIFF(uri);
print(cloudImage);
Map.addLayer(cloudImage, {min: 0, max: 20000});
Map.centerObject(cloudImage, 6);
Configurazione di Python
Per informazioni sull'API Python e sull'utilizzo di geemap per lo sviluppo interattivo, consulta la pagina
Ambiente Python.
import ee
import geemap.core as geemap
Colab (Python)
uri = (
'gs://gcp-public-data-landsat/'
+ 'LC08/01/001/002/'
+ 'LC08_L1GT_001002_20160817_20170322_01_T2/'
+ 'LC08_L1GT_001002_20160817_20170322_01_T2_B5.TIF'
)
cloud_image = ee.Image.loadGeoTIFF(uri)
display(cloud_image)
m = geemap.Map()
m.add_layer(cloud_image, {'min': 0, 'max': 20000})
m.center_object(cloud_image, 6)
m
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-25 UTC.
[null,null,["Ultimo aggiornamento 2025-07-25 UTC."],[[["\u003cp\u003e\u003ccode\u003eee.Image.loadGeoTIFF\u003c/code\u003e loads a Cloud Storage-hosted GeoTIFF file as an \u003ccode\u003eee.Image\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe function takes a single argument, \u003ccode\u003euri\u003c/code\u003e, which specifies the Cloud Storage location of the GeoTIFF.\u003c/p\u003e\n"],["\u003cp\u003eExamples demonstrate loading and displaying a Landsat 8 GeoTIFF from the public data catalog in both JavaScript and Python.\u003c/p\u003e\n"]]],["The function `ee.Image.loadGeoTIFF(uri)` loads a GeoTIFF from a Cloud Storage URI as an `Image`. The `uri` must be a string pointing to a GeoTIFF file in a supported Google Cloud Storage bucket, requiring specific access permissions. Example code is provided for both JavaScript and Python, demonstrating loading, printing, and displaying the GeoTIFF. The Python code uses `geemap` for interactive development. The loaded image can then be used in further processing and analysis.\n"],null,["# ee.Image.loadGeoTIFF\n\nLoads a GeoTIFF as an Image.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------|---------|\n| `ee.Image.loadGeoTIFF(uri)` | Image |\n\n| Argument | Type | Details |\n|----------|--------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `uri` | String | The Cloud Storage URI of the GeoTIFF to load. The bucket metadata must be accessible (requires the \\`storage.buckets.get\\` permission which is provided by the role \"Storage Legacy Bucket Reader\" among others, see https://cloud.google.com/storage/docs/access-control/iam-roles) and the bucket must be located in the US multi-region, a dual-region including US-CENTRAL1, or the US-CENTRAL1 region. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nvar uri = 'gs://gcp-public-data-landsat/LC08/01/001/002/' +\n 'LC08_L1GT_001002_20160817_20170322_01_T2/' +\n 'LC08_L1GT_001002_20160817_20170322_01_T2_B5.TIF';\nvar cloudImage = ee.Image.loadGeoTIFF(uri);\n\nprint(cloudImage);\n\nMap.addLayer(cloudImage, {min: 0, max: 20000});\nMap.centerObject(cloudImage, 6);\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\nuri = (\n 'gs://gcp-public-data-landsat/'\n + 'LC08/01/001/002/'\n + 'LC08_L1GT_001002_20160817_20170322_01_T2/'\n + 'LC08_L1GT_001002_20160817_20170322_01_T2_B5.TIF'\n)\ncloud_image = ee.Image.loadGeoTIFF(uri)\n\ndisplay(cloud_image)\n\nm = geemap.Map()\nm.add_layer(cloud_image, {'min': 0, 'max': 20000})\nm.center_object(cloud_image, 6)\nm\n```"]]
