ee.Image.getDownloadURL

Get a download URL for small chunks of image data in GeoTIFF or NumPy format. Maximum request size is 32 MB, maximum grid dimension is 10000.

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). If "GEO_TIFF" or "NPY", filePerBand and all band-level transformations will be ignored. Loading a NumPy output results in a structured array.
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'
  }));

Colab (Python)

"""Demonstrates the ee.Image.getDownloadURL method."""

import io
import requests
import ee


ee.Authenticate()
ee.Initialize()

# 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.
import numpy
url = img.getDownloadUrl({
    'bands': ['B3', 'B8', 'B11'],
    'region': region,
    'scale': 20,
    'format': 'NPY'
})
response = requests.get(url)
data = numpy.load(io.BytesIO(response.content))
print(data)
print(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)