AI-generated Key Takeaways
-
The
ee.Image.loadGeoTIFFfunction loads a GeoTIFF from a Cloud Storage URI as an Earth Engine Image. -
The
uriargument, a string, specifies the Cloud Storage location of the GeoTIFF, requiring specific storage permissions and regional location. -
Example code is provided for both JavaScript (Code Editor) and Python (Colab) to demonstrate how to load and display a GeoTIFF.
| Usage | Returns |
|---|---|
ee.Image.loadGeoTIFF(uri)
|
Image |
| Argument | Type | Details |
|---|---|---|
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. |
Examples
Code Editor (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 );
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
