AI-generated Key Takeaways
-
Use
getDownloadURLto retrieve small chunks of image data in GeoTIFF or NumPy format, with maximum request size of 32 MB and grid dimensions up to 10000. -
getThumbURLis used for obtaining RGB visualization formats like PNG and JPG. -
The
getDownloadURLfunction returns a download URL string or an Object, and an optional callback function can be provided for asynchronous calls. -
Download options in the
paramsobject include specifying band names, CRS, scale, region, output format (ZIPPED_GEO_TIFF, GEO_TIFF, NPY), and whether to output a file per band. -
The examples demonstrate how to download image data as single-band or multi-band GeoTIFF files (zipped or unzipped) and as a NumPy array using both JavaScript (Code Editor) and Python (Colab).
Use getThumbURL for RGB visualization formats PNG and JPG.
Returns returns a download URL, or undefined if a callback was specified.
| Usage | Returns |
|---|---|
Image.
getDownloadURL
(params, callback
)
|
Object|String |
Argument
Type
Details
this:
image
Image
The Image instance.
params
Object
An object containing download options with the following possible values:
name:
a base name to use when constructing filenames. Only applicable when format is "ZIPPED_GEO_TIFF" (default) or filePerBand is true. Defaults to the image id (or "download" for computed images) when format is "ZIPPED_GEO_TIFF" or filePerBand is true, otherwise a random character string is generated. Band names are appended when filePerBand is true.bands:
a description of the bands to download. Must be an array of band names or an array of dictionaries, each with the following keys (optional parameters apply only when filePerBand is true): -
id:the name of the band, a string, required. -
crs:an optional CRS string defining the band projection. -
crs_transform:an optional array of 6 numbers specifying an affine transform from the specified CRS, in row-major order: [xScale, xShearing, xTranslation, yShearing, yScale, yTranslation] -
dimensions:an optional array of two integers defining the width and height to which the band is cropped. -
scale:an optional number, specifying the scale in meters of the band; ignored if crs and crs_transform are specified.
crs:
a default CRS string to use for any bands that do not explicitly specify one.crs_transform:
a default affine transform to use for any bands that do not specify one, of the same format as the crs_transform
of bands.dimensions:
default image cropping dimensions to use for any bands that do not specify them.scale:
a default scale to use for any bands that do not specify one; ignored if crs
and crs_transform
are specified.region:
a polygon specifying a region to download; ignored if crs
and crs_transform
is specified.filePerBand:
whether to produce a separate GeoTIFF per band (boolean). Defaults to true. If false, a single GeoTIFF is produced and all band-level transformations will be ignored.format:
the download format. One of: - "ZIPPED_GEO_TIFF" (GeoTIFF file(s) wrapped in a zip file, default)
- "GEO_TIFF" (GeoTIFF file)
- "NPY" (NumPy binary format)
callback
Function, optional
An optional callback. If not supplied, the call is made synchronously.
Examples
Code Editor (JavaScript)
// A Sentinel-2 surface reflectance image. var img = ee . Image ( 'COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG' ); // A small region within the image. var region = ee . Geometry . BBox ( - 122.0859 , 37.0436 , - 122.0626 , 37.0586 ); print ( 'Single-band GeoTIFF files wrapped in a zip file' , img . getDownloadURL ({ name : 'single_band' , bands : [ 'B3' , 'B8' , 'B11' ], region : region })); print ( 'Multi-band GeoTIFF file wrapped in a zip file' , img . getDownloadURL ({ name : 'multi_band' , bands : [ 'B3' , 'B8' , 'B11' ], region : region , scale : 20 , filePerBand : false })); print ( 'Band-specific transformations' , img . getDownloadURL ({ name : 'custom_single_band' , bands : [ { id : 'B3' , scale : 10 }, { id : 'B8' , scale : 10 }, { id : 'B11' , scale : 20 } ], region : region })); print ( 'Multi-band GeoTIFF file' , img . getDownloadURL ({ bands : [ 'B3' , 'B8' , 'B11' ], region : region , scale : 20 , format : 'GEO_TIFF' }));
import ee import geemap.core as geemap
Colab (Python)
"""Demonstrates the ee.Image.getDownloadURL method.""" import io import numpy import requests # A Sentinel-2 surface reflectance image. img = ee . Image ( 'COPERNICUS/S2_SR/20210109T185751_20210109T185931_T10SEG' ) # A small region within the image. region = ee . Geometry . BBox ( - 122.0859 , 37.0436 , - 122.0626 , 37.0586 ) # Image chunk as a NumPy structured array. url = img . getDownloadUrl ({ 'bands' : [ 'B3' , 'B8' , 'B11' ], 'region' : region , 'scale' : 20 , 'format' : 'NPY' }) response = requests . get ( url ) data = numpy . load ( io . BytesIO ( response . content )) display ( data ) display ( data . dtype ) # Single-band GeoTIFF files wrapped in a zip file. url = img . getDownloadUrl ({ 'name' : 'single_band' , 'bands' : [ 'B3' , 'B8' , 'B11' ], 'region' : region }) response = requests . get ( url ) with open ( 'single_band.zip' , 'wb' ) as fd : fd . write ( response . content ) # Multi-band GeoTIFF file wrapped in a zip file. url = img . getDownloadUrl ({ 'name' : 'multi_band' , 'bands' : [ 'B3' , 'B8' , 'B11' ], 'region' : region , 'scale' : 20 , 'filePerBand' : False }) response = requests . get ( url ) with open ( 'multi_band.zip' , 'wb' ) as fd : fd . write ( response . content ) # Band-specific transformations. url = img . getDownloadUrl ({ 'name' : 'custom_single_band' , 'bands' : [ { 'id' : 'B3' , 'scale' : 10 }, { 'id' : 'B8' , 'scale' : 10 }, { 'id' : 'B11' , 'scale' : 20 } ], 'region' : region }) response = requests . get ( url ) with open ( 'custom_single_band.zip' , 'wb' ) as fd : fd . write ( response . content ) # Multi-band GeoTIFF file. url = img . getDownloadUrl ({ 'bands' : [ 'B3' , 'B8' , 'B11' ], 'region' : region , 'scale' : 20 , 'format' : 'GEO_TIFF' }) response = requests . get ( url ) with open ( 'multi_band.tif' , 'wb' ) as fd : fd . write ( response . content )
