This folder contains Scripts and Jupyter notebooks that demonstrate the working of Google Earth Engine API.
python_api_syntax.ipynb: Getting started with Python APIexport_a_collection.ipynb: How to export all images in a collection usingee.Tasklarge_gridded_exports.ipynb: How to created tiled exports from large images.export_image_bands.ipynb: How to export all bands of an image as separate image usingee.Taskmanage_tasks.ipynb: How to list and cancel running tasksdelete_gee_assets.ipynb: How to delete multiple assets, including all assets within a folder/collectiondynamic_visualization_parameters.ipynb: How to compute image statistics and use them in visualization parametersstac_gee_catalog.ipynb: How to query a static STAC catalog as a JSON file on Google Cloud Storage.export_climate_timeseries.ipynb: Exporting monthly soil moisture from TerraClimate as Cloud-Optimized GeoTIFFs.
rename_collection.py: Renames a collection by copying the child assets to a new collection and deleting old collection recursively.update_acl.py: Changes permissions of all assets in a folder.download_data.py: How to automate downloading of data using Google Earth Engine API.asset_size.py: Recursively calculate size of all assets in a folder