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

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>

2. Install python and dependencies

conda env create -f environment.yml