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PlanetScopePy

Image preprocessing and raster analysis for PlanetScope imagery from Planet Lab.

Functions

  1. Download
  2. Merge
  3. Clip
  4. Bomas -> thumbnails of AOI where the percentage of cloud contaminated pixels is below the user-defined threshold.
  5. Band math -> NDVI with the information of the probability of being clear pixel/no cloud contaminations

conceptual diagram

Preparation

  1. Download Pycharm - community version
  2. Download Preparation_for_PlanetScope_tools.zip file
  3. Installation of python 3.7.X
    • double click python-3.7.6-amd64.exe in Preparation_for_PlanetScope_tools.zip
    • select customize installation
    • check [Install launcher for all users]
    • check [Add Python to PATH]
    • make a note of the installed location (e.g., C:\Program Files (x86)\Python37_6)
  4. Installation of required packages
    • search and open command prompt
    • type command line and press enter
      • cd [PATH OF INSTALLED PYTHON 3.7.X, WITHOUT SQUARE BRACKETS]
      • python -m pip install --user -r [PATH OF DOWNLOADED requirements.txt IN Preparation_for_PlanetScope_tools.zip, WITHOUT SQUARE BRACKETS]
      • python -m pip install --user [PATH OF DOWNLOADED .WHL FILE IN Preparation_for_PlanetScope_tools.zip, WITHOUT SQUARE BRACKETS]
    • find your installed packages here C:\Users[USER NAME]\AppData\Roaming\Python\Python37\site-packages
    • make a note of the path of osgeo package in this path... it is associate to the default_gdal_osgeo_dir variable

Preparation (Conda virtual environment)

Prerequisites

  1. install Anaconda or miniconda

Configure virtual environment

  1. Open a terminal in the root folder of this python project
cd <project directory>
  1. Install python and dependencies
conda env create -f environment.yml