PyEarthData 1.1.0

Python Package for grabbing earth surface and atmosphere data

PyEarthData

Python Package for grabbing Earth surface and atmospheric data.

Source on GitHub at ayushanand18/PyEarthData

Introduction

PyEarthData is an easy-to-use python package that helps users fetch data remote sensing data about Earth's surface and atmospheric data. It allows users to fetch historic data about concentration of gases in atmosphere, relative humidity, surface temperature, etc from sensors aboard NASA's satellites.

Main Features

• Get historic and near real-time (NRT) data of Earth's surface and Atmosphere directly from AIRS equipment aboard NASA's aqua satellite and combine it with any GIS tools easily using python. Query for concentration of gases in atmosphere, relative humidity, outgoing radiation, etc.
• Get historic as well as near real-time (NRT) data of Earth Surface Temperature from NASA's POWER (Prediction of Worldwide Energy Resources).

Installation

Installation from PyPI

pip install PyEarthData

Install latest development version from GitHub

pip install git+git://github.com/ayushanand18/pyearthdata.git#egg=pyearthdata

Install editable dev version from github for local development. System prerequisites: python3, conda

# fetch code
git clone [e-mail]:ayushanand18/pyearthdata.git
cd PyEarthData
# install
python -m pip install -r requirements.txt
python -m pip install -r requirements-dev.txt
python -m pip install -e .

Documentation

The official documentation is hosted on GitHub Pages https://ayushanand18.github.io/PyEarthData.

Modules

airs

AIRS module: Get Data directly from AIRS aboard NASA’s Aqua Satellite

from pyearthdata import airs

power

POWER module: Fetching NASA/POWER CERES/MERRA2 Native Resolution Daily Data

from pyearthdata import power

Meta

• License: MIT, see LICENSE file
• Help make this project even more useful! Please read the contribute on GitHub.

Further Reading

• For issues with the package itself, feel free to open an issue on GitHub!

---

const package = {
    "name" = "PyEarthData",
    "author" = "Ayush Anand",
} 
Made with ❤️ in Python