Creating and analyzing Earth observation data cubes in R
Earth observation data cubes from GDAL image collections
Data-driven gap filling of satellite image time series using neural networks with spatiotemporal partial convolutions
Python 8
Materials for OpenGeoHub summer school 2021 tutorial on "Analyzing massive amounts of EO data in the cloud with R, gdalcubes, and STAC"
slides and material for a workshop on scalable change detection with BFAST at Wageningen university, March 2017
Forked from janverbesselt/bfast
bfast package is now further developed on Github (migrated from svn R-Forge on 2/12/2016)
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