Sentinel 2 Data Fetcher

Installation

• Create a Virtual Environment and activate it.

  python3 -m venv venv
  . venv/bin/activate

• Install the Package via pip.

  pip install sat-mapping-cyborg-ai

Usage

• Import the Library

  from sat_mapping import FolderData, folders_time_frame, Paths, download

• Set the Path to where you want to store the Satellite Data.

  paths = Paths("<ANY/VALID/PATH>")

• Start the Download. (Note: One year needs around 110 GB Disk Space.)

  The download uses gsutil so if there is no gsutil configuration (.boto) in your home directory, gsutil config will be called to generate one. Gsutil config asks the user for a token and a project id.

  download(paths, years=[2019], tiles=["32TMT"], months=[7])

• Load a folder.

  folder_name = paths.folders[0]
  upper_left = (100000.0, 0.0)       # Postion on tile in [m]
  lower_right = (109800.0, 10000.0)  # Postion on tile in [m]
  data = FolderData(join(paths.data_path, folder_name), upper_left, lower_right)

• Display the image. (if matplotlib is not installed use pip install matplotlib)

  import matplotlib.pyplot as plt
  
  picture = data.data[:, :, [3, 1, 2]]  # NIR, GREEN, BLUE
  fig: plt.Figure = plt.figure()
  plt.imshow(picture)
  plt.show()