Skip to main content

PyEarthData

pypi docs

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 git@github.com: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

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

Metadata

Release files for PyEarthData 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyEarthData 1.1.0
File Size Uploaded
PyEarthData-1.1.0.tar.gz 8.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyEarthData 1.1.0
File Interpreter ABI Platform
PyEarthData-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 8.0 MB

Release files / PyEarthData-1.1.0.tar.gz

Download URL PyEarthData-1.1.0.tar.gz
Size 8.0 MB
Tags Source
SHA-256 checksum
How to use checksums
d9ca2911313728e64e6eaee9d2b6138593316b4b37de8637b6f75ee35c216f71
BLAKE2b-256 checksum
How to use checksums
7a67ff999b73af220d07095255ad24723c74cf284ba590c9aba7b88f7a01a6af
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.15

Release files / PyEarthData-1.1.0-py3-none-any.whl

Download URL PyEarthData-1.1.0-py3-none-any.whl
Size 6.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3f503a708dbdf025529bd9863fa723e755a8b558f1ec44b12e6b460c42da3aeb
BLAKE2b-256 checksum
How to use checksums
198cbf7af73d49edd0016e570675d0f770bc32520073de2b8306414ccb2c2712
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.15

Release history Release notifications | RSS feed

This release

1.1.0 This release

2 release files

1.0.4

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page