A Simple Python package to pre-processing satellite data using Google Earth Engine.
Project description
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)
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.