• Fork the project and clone it in your own project folder:

  git clone https://github.com/PederBG/FRAM20.git

• Install Docker: https://docs.docker.com/install/

• Get docker image:

  docker pull pederbg/fram19

• Run docker image:

  cd FRAM19/docker
   sudo ./run_docker.sh

The docker file will automatically start django and geoserver in two tmux sessions.

• Navigate to http://localhost:8000/

To display sensor data in the application the overlays needs to be generated. This is done using scripts/main.py. Type ./scripts/main.py --help to see the options. However to see the overlays in the application a refrence have to be added in the database.

• Run this command to download overlays for a given day (default is June 22, 2018) and add refrence to the database:

  python3 manage.py getsensordata

• Fork the project and clone it in your own project folder:

  git clone https://github.com/PederBG/FRAM19.git

• Make sure you have both python2 and python3 installed.

• Install pip for both python versions if you do not have it already:

  apt-get install python-pip
  apt-get install python3-pip

• Ensure pip, setuptools, and wheel are up to date

  pip2 install --upgrade pip setuptools wheel
  pip3 install --upgrade pip setuptools wheel

• Get Java JDK:

  apt-get install default-jdk

• Download and install latest geoserver version:

  • Select Platform Independent Binary at http://geoserver.org/release/stable/
  • Unpack the archive where you want geoserver to be located (/usr/share/geoserver)
  • Setup geoserver on your system:

    echo "export GEOSERVER_HOME=/path/to/geoserver" >> ~/.profile
    . ~/.profile
    chown -R USER_NAME /path/to/geoserver/
    echo "geoserver='sh /path/to/geoserver/bin/startup.sh'" >> ~/.bashrc && source ~/.bashrc

  • Test geoserver by running geoserver and navigate to http://localhost:8080/geoserver

• Install all python packages needed:

  Python3:

  • Django: pip3 install django

  Python2:

  • NumPy: pip2 install numpy
  • SciPy: pip2 install scipy
  • sentinelsat: pip2 install sentinelsat
  • matplotlib: apt-get install python-matplotlib

• Install Geospatial Data Abstraction Library (GDAL):

  add-apt-repository -y ppa:ubuntugis/ppa
  apt update
  apt upgrade
  apt install gdal-bin python-gdal

• Install netCDF4 package:

  • First install dependencies:
    • C compiler: apt-get install build-essential
    • Cython C-Extensions for Python: pip2 install Cython
  • Install HDF5:

  apt-get install libhdf5-serial-dev netcdf-bin libnetcdf-dev
  pip2 install h5py

  • Install netCDF4: pip2 install netcdf4

• Run this, if no errors occur setup was successful:

  cd path/to/project
  scripts/getdata.py --test
  python3 manage.py runserver