Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
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Updated
May 9, 2024 - Jupyter Notebook
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Web-based exploration of Open Data Cube collections
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
ODC features that DEA is experimenting with or prototyping with the intention of being integrated into odc-core in the future
General purpose Docker Images related to the Open Data Cube project
National Intertidal Digital Elevation Model (NIDEM): a continental-scale elevation dataset for Australia's exposed intertidal zone
Tool to convert geopandas vector data into rasterized xarray data.
Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Pytest database fixtures for ODC Application Testing
Web Platform for time series analysis of spatial data using spatial data cube
Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.
Docker image to provide a Data Cube instance access to distributed computing
A tool created to facilitate indexing data in the Open Data Cube using the information provided by STAC catalogs.
odcr is an R package that serves as an interface to the Open Data Cube.
datacube-classification is a Python package developed to apply the time-first, space-later approach to indexed Earth Observation Data Cubes within the Open Data Cube ecosystem.
stac2odc is a tool created to facilitate indexing data in the Open Data Cube using the information provided by STAC catalogs.
Docker images to routinely generate derived EO products using the Open Data Cube and Dask
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