pymapee 0.0.4

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

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

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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.

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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

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Credits

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