Skip to main content

Convenience functions for working with HDF4-EOS datasets

Project description

Python Tools for HDF4-EOS Format

Unfortunately, many important NASA datasets are still distributed as HDF4-EOS granules. These can be difficult or impossible to work with using GIS software. Even when opened using a library like GDAL, key spatial metadata are not accessed, resulting in the failure to fix the dataset's true spatial coordinates.

This small library may help you to avoid needing to install GDAL just to read the file. It is capable of reading an an HDF4 file (and HDF4-EOS files, in particular) and writing out a spatial dataset using rasterio, based on some strict assumptions about the file-level attributes; assumptions that are usually satisfied by an HDF4-EOS file.

The problems solved by py4eos include:

  • Reading an HDF4-EOS file without needing GDAL installed
  • Figuring out the coordinate reference system (CRS) and affine transformation of an HDF4-EOS granule
  • Converting an HDF4-EOS file to a more convenient raster format
  • Applying the scale and offset to an HDF4-EOS dataset's values to obtain true, geophysical values

Example Use

import earthaccess
import py4eos

# Download a MOD16A3GF granule
result = earthaccess.search_data(
    short_name = 'MOD16A3GF',
    temporal = ('2014-01-01', '2014-12-31'),
    bounding_box = (-106, 42, -103, 43))
earthaccess.download(result, TEST_DIR)

# Write the file to a GeoTIFF
hdf = py4eos.read_hdf4eos(granule_mod16a3)
hdf.to_rasterio('ET_500m', 'output_file.tiff')

Installation

The easiest way to install py4eos is using mamba (see installation instructions) or conda. This is the recommended way to install py4eos on Windows or Mac OS X:

mamba install py4eos

If the HDF4, zlib, and libjpeg libraries are already installed, then you can use pip on any system to install py4eos:

pip install py4eos

Installing dependencies on GNU/Linux:

  • On Ubuntu GNU/Linux: sudo apt install python3-dev libhdf4-dev

Running the test suite, from the root directory of the repository:

python -m pytest

Because data has to be downloaded as part of running the tests, they may fail the first time. Try running once more.

Acknowledgements

Development of the py4eos library was supported by a grant from NASA (80NSSC23K0864).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py4eos-0.6.0.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

py4eos-0.6.0-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file py4eos-0.6.0.tar.gz.

File metadata

  • Download URL: py4eos-0.6.0.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for py4eos-0.6.0.tar.gz
Algorithm Hash digest
SHA256 2b17e232ca1db0117e3644e27ef375af3353541d6eaafd9ad15bdc467539adfb
MD5 76a5b867247d64ebd1a375cb2477f034
BLAKE2b-256 d3b2052f7aa3d19fc9da784c5a11420cd02de2245ebb325282d05f7d46e60a21

See more details on using hashes here.

File details

Details for the file py4eos-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: py4eos-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for py4eos-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1ba39d1dc2f7a99fd60eaf57fe2828830a5381e37c6e048e24e8e1529570b1ce
MD5 9297abb868f87a1c31c6d476b8e041db
BLAKE2b-256 acd7e5719c34f93b12e41faf1f2903ac323775cf4aff56d5910b4a2108d27f41

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page