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.

The old publishing part of LinkedSpending: a fork of the OntoWiki. See https://github.com/KonradHoeffner/linkedspending.aksw.org for the new version and https://github.com/AKSW/openspending2rdf for the conversion part.

Fast Automated Spectral Extraction Software for IFU Datacubes

Python scripts to visualize multi-band gridded data.

ARD Tile Locator and Conversion Tool for AVID similar to https://landsat.usgs.gov/ard_tile

odcr is an R package that serves as an interface to the Open Data Cube.

Datalift module to visualize datacube datasets

🔠🔢 Data access layer solution that is fast, featured and reliable for the .NET platform

R Client for the Open Data Cube ecosystem.

Notebooks for the Digital Earth Africa Sandbox

Bokeh visualization for output DAP MUSE data cubes.

Visualisation tool for the EU Digital Scoreboard

PMD Validations for cubes etc...

Jupyter notebook for classifiying ITEMv2 polygons by Landsat observation offsets and spread

Simple language with easy syntax for describing the content of multidimensional array (ndarray) data files

This repo is for basic Python training in order to perform satellite data analysis in eo2cube (Open Data Cube)

Data access for EODAG

Jupyter notebook code to generate filmstrips of coastal change using DEA landsat data and geomedians

This github project contains jupyter notebooks for Dr. Vahid Akbari's training session titled "Big SAR data processing" at Wavelength 2021 conference organized by University of Stirling and RSPSoc.