https://github.com/pytroll/pyresample

Geospatial image resampling in Python
https://github.com/pytroll/pyresample

closember dask hacktoberfest kd-tree numpy python resampling xarray

Last synced: about 1 month ago
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Geospatial image resampling in Python

• Host: GitHub
• URL: https://github.com/pytroll/pyresample
• Owner: pytroll
• License: lgpl-3.0
• Created: 2014-09-16T20:44:43.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2024-03-01T06:38:36.000Z (4 months ago)
• Last Synced: 2024-03-25T22:59:17.678Z (3 months ago)
• Topics: closember, dask, hacktoberfest, kd-tree, numpy, python, resampling, xarray
• Language: Python
• Homepage: http://pyresample.readthedocs.org
• Size: 16.4 MB
• Stars: 324
• Watchers: 16
• Forks: 94
• Open Issues: 100
• Metadata Files:
  • Readme: README
  • Changelog: CHANGELOG.md
  • License: LICENSE.txt
  • Citation: CITATION

Lists

• awesome-earthobservation-code - pyresample - Geospatial image resampling in `Python` (`Python` processing of optical imagery (non deep learning) / Processing imagery - post processing)
• my-awesome-stars - pytroll/pyresample - Geospatial image resampling in Python (Python)

README

        
[![Build Status](https://github.com/pytroll/pyresample/workflows/CI/badge.svg?branch=main)](https://github.com/pytroll/pyresample/actions?query=workflow%3A%22CI%22)

[![Coverage Status](https://coveralls.io/repos/github/pytroll/pyresample/badge.svg?branch=main)](https://coveralls.io/github/pytroll/pyresample?branch=main)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3372769.svg)](https://doi.org/10.5281/zenodo.3372769)

Pyresample

----------

Pyresample is a python package for resampling geospatial image data. It is the

primary method for resampling in the [Satpy](https://github.com/pytroll/satpy)

library, but can also be used as a standalone library. Resampling or

reprojection is the process of mapping input geolocated data points to a

new target geographic projection and area.

Pyresample can operate on both fixed grids of data and geolocated swath data.

To describe these data Pyresample uses various "geometry" objects including

the `AreaDefinition` and `SwathDefinition` classes.

Pyresample offers multiple resampling algorithms including:

- Nearest Neighbor

- Elliptical Weighted Average (EWA)

- Bilinear

For nearest neighbor and bilinear interpolation pyresample uses a kd-tree

approach by using the fast KDTree implementation provided by the

[pykdtree](https://github.com/storpipfugl/pykdtree) library.

Pyresample works with numpy arrays and numpy masked arrays. Interfaces to

XArray objects (including dask array support) are provided in separate

Resampler class interfaces and are in active development.

Utility functions are available to easily plot data using Cartopy.

[Documentation](https://pyresample.readthedocs.org/en/latest/)

See [pytroll.github.io](http://pytroll.github.io/) for more information on the

PyTroll group and related packages.

Citation

----------

Hoese, D., Raspaud, M., Lahtinen, P., Roberts, W., Lavergne, et al. (2020). pytroll/pyresample: Version 1.16.0. Zenodo. [https://doi.org/10.5281/zenodo.3372769](https://doi.org/10.5281/zenodo.3372769)