@e-sensing

e-sensing

e-Sensing: Big Earth observation data analytics for land use and land cover change information

  • Satellite image time series in R

    R 36 15 GPL-3.0 Updated Oct 22, 2018
  • In situ data sets used in the e-sensing project

    R 1 3 GPL-2.0 Updated Oct 17, 2018
  • Python 1 LGPL-3.0 Updated Oct 15, 2018
  • Python Client API for Web Time Series Service

    Python 4 4 LGPL-3.0 Updated Oct 1, 2018
  • Spatiotemporal calculus for land use change trajectories

    R 3 GPL-3.0 Updated Sep 27, 2018
  • Software for Earth observation data cubes using R

    R 1 GPL-3.0 Updated Sep 26, 2018
  • Extension of the "kohonen" R package to cluster time series using the DTW distance

    R 1 GPL-3.0 Updated Aug 17, 2018
  • Coverage

    1 GPL-3.0 Updated Aug 15, 2018
  • Supervised and unsupervised self-organising maps

    R 5 Updated Aug 8, 2018
  • Jupyter Notebooks

    Jupyter Notebook 2 5 GPL-3.0 Updated Aug 2, 2018
  • Dockerfiles Repository for the e-Sensing Plataform

    Dockerfile 1 2 LGPL-3.0 Updated Jul 23, 2018
  • WGISS Tech Webinar - Python for Data Science in Earth Observation Analysis

    Jupyter Notebook 2 4 LGPL-3.0 Updated Jul 23, 2018
  • Multi-Resolution Goodness-of-Fit

    C++ 1 1 LGPL-3.0 Updated Mar 23, 2018
  • R Client API for Web Time Series Service

    R 2 2 Updated Dec 21, 2017
  • C++ Client API for Web Time Series Service

    C++ 2 2 LGPL-3.0 Updated Oct 19, 2017
  • C++ 3 2 LGPL-3.0 Updated Oct 19, 2017
  • A Jupyter notebook to demonstrate SITS

    Jupyter Notebook 1 Updated Sep 25, 2017
  • R 1 LGPL-3.0 Updated Sep 1, 2017
  • JavaScript Client API for Web Time Series Service

    JavaScript 1 2 LGPL-3.0 Updated Aug 21, 2017
  • Python LGPL-3.0 Updated Aug 17, 2017
  • Extract, Transform and Load for SciDB

    Python 2 3 LGPL-3.0 Updated Jul 1, 2016
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