Search, composite, and download Google Earth Engine imagery, without size limits.
geedim provides a command line interface and API for searching, compositing and downloading satellite imagery from Google Earth Engine (EE). It optionally performs cloud/shadow masking, and cloud/shadow-free compositing on supported collections. Images and composites can be downloaded; or exported to Google Drive, Earth Engine asset or Google Cloud Storage. Images larger than the EE size limit are split and downloaded as separate tiles, then re-assembled into a single GeoTIFF.
See the documentation site for more detail: https://geedim.readthedocs.io/.
Any EE imagery can be searched, composited and downloaded by geedim. Cloud/shadow masking, and cloud/shadow-free compositing are supported on the following collections:
geedim is a python 3 package, and requires users to be registered with Google Earth Engine.
Under Windows, using conda is the easiest way to resolve binary dependencies. The Miniconda installation provides a minimal conda.
conda install -c conda-forge geedimpip install geedimFollowing installation, Earth Engine should be authenticated:
earthengine authenticategeedim command line functionality is accessed through the commands:
search: Search for images.composite: Create a composite image.download: Download image(s).export: Export image(s).config: Configure cloud/shadow masking.
Get help on geedim with:
geedim --helpand help on a geedim command with:
geedim <command> --helpSearch for Landsat-8 images, reporting cloudless portions.
geedim search -c l8-c2-l2 -s 2021-06-01 -e 2021-07-01 --bbox 24 -33 24.1 -33.1 --cloudless-portionDownload a Landsat-8 image with cloud/shadow mask applied.
geedim download -i LANDSAT/LC08/C02/T1_L2/LC08_172083_20210610 --bbox 24 -33 24.1 -33.1 --maskMultiple geedim commands can be chained together in a pipeline where image results from the previous command form inputs to the current command. For example, if the composite command is chained with download command, the created composite image will be downloaded, or if the search command is chained with the composite command, the search result images will be composited.
Common command options are also piped between chained commands. For example, if the config command is chained with other commands, the configuration specified with config will be applied to subsequent commands in the pipeline. Many command combinations are possible.
Composite two Landsat-7 images and download the result:
geedim composite -i LANDSAT/LE07/C02/T1_L2/LE07_173083_20100203 -i LANDSAT/LE07/C02/T1_L2/LE07_173083_20100219 download --bbox 22 -33.1 22.1 -33 --crs EPSG:3857 --scale 30Composite the results of a Landsat-8 search and download the result.
geedim search -c l8-c2-l2 -s 2019-02-01 -e 2019-03-01 --bbox 23 -33 23.2 -33.2 composite -cm q-mosaic download --scale 30 --crs EPSG:3857Composite the results of a Landsat-8 search, export to Earth Engine asset, and download the asset image.
geedim search -c l8-c2-l2 -s 2019-02-01 -e 2019-03-01 --bbox 23 -33 23.2 -33.2 composite -cm q-mosaic export --type asset --folder <your cloud project> --scale 30 --crs EPSG:3857 downloadSearch for Sentinel-2 SR images with a cloudless portion of at least 60%, using the qa mask-method to identify clouds:
geedim config --mask-method qa search -c s2-sr --cloudless-portion 60 -s 2022-01-01 -e 2022-01-14 --bbox 24 -34 24.5 -33.5import geedim as gd
gd.Initialize() # initialise earth engine
# geojson polygon to search / download
region = {
"type": "Polygon",
"coordinates": [[[24, -33.6], [24, -33.53], [23.93, -33.53], [23.93, -33.6], [24, -33.6]]]
}
# make collection and search, reporting cloudless portions
coll = gd.MaskedCollection.from_name('COPERNICUS/S2_SR')
coll = coll.search('2019-01-10', '2019-01-21', region, cloudless_portion=0)
print(coll.schema_table)
print(coll.properties_table)
# create and download an image
im = gd.MaskedImage.from_id('COPERNICUS/S2_SR/20190115T080251_20190115T082230_T35HKC')
im.download('s2_image.tif', region=region)
# composite search results and download
comp_im = coll.composite()
comp_im.download('s2_comp_image.tif', region=region, crs='EPSG:32735', scale=30)This project is licensed under the terms of the Apache-2.0 License.
See the documentation for details.
- Tiled downloading was inspired by the work in GEES2Downloader under terms of the MIT license.
- Medoid compositing was adapted from gee_tools under the terms of the MIT license.
- Sentinel-2 cloud/shadow masking was adapted from ee_extra under terms of the Apache-2.0 license