Welcome to pymapee

A Simple Python package to pre-processing satellite-based data using Google Earth Engine.

pymapee is a simple Python package that aims to provide common functionalities to pre-process or calculate vegetation drought indices using Google Earth Engine. Currently, this package supports cloud masking (MODIS, Landsat, Sentinel-2), composite (monthly), and calculation of vegetation anomaly index (VAI) and vegetation condition index (VCI). It also supports to download an image collection (e.g., time-series NDVI or LST) or an image. This package is under active development, and changes are expected over time.

• GitHub repo: https://github.com/tuyenhavan/pymapee
• Free software: MIT license

Features

• Masking cloud-related pixels (e.g., MODIS, Landsat, and Sentinel-2)
• Making monthly composite
• Calculating monthly vegetation anomaly index (VAI) and vegetation condition index (VCI).
• Scaling data
• Downloading an image or image collection (e.g., time-series NDVI)

Examples are provided here, and it will be regularly updated.

Installation

Install pymapee using pip

pip install pymapee

or install from Github to get the latest update.

pip install git+https://github.com/tuyenhavan/pymapee.git

Credits

This package was created with Cookiecutter and the giswqs/pypackage project template.