Skip to main content

Cloud Optimized GeoTIFF (COGEO) creation plugin for rasterio

Project description

rio-cogeo

COG

Cloud Optimized GeoTIFF (COG) creation and validation plugin for Rasterio.

Test Coverage Package version Conda Forge Downloads Downloads


Documentation: https://cogeotiff.github.io/rio-cogeo/

Source Code: https://github.com/cogeotiff/rio-cogeo


Cloud Optimized GeoTIFF

This plugin aims to facilitate the creation and validation of Cloud Optimized GeoTIFF (COG or COGEO). While it respects the COG specifications, this plugin also enforces several features:

  • Internal overviews (User can remove overview with option --overview-level 0)
  • Internal tiles (default profiles have 512x512 internal tiles)

Important: in GDAL 3.1 a new COG driver has been added (doc, discussion), starting with rio-cogeo version 2.2, --use-cog-driver option was added to create COG using the COG driver.

Install

$ pip install -U pip
$ pip install rio-cogeo

Or install from source:

$ pip install -U pip
$ pip install git+https://github.com/cogeotiff/rio-cogeo.git

GDAL Version

It is recommended to use GDAL > 2.3.2. Previous versions might not be able to create proper COGs (ref: https://github.com/OSGeo/gdal/issues/754).

More info in https://github.com/cogeotiff/rio-cogeo/issues/55

More

Blog post on good and bad COG formats: https://medium.com/@_VincentS_/do-you-really-want-people-using-your-data-ec94cd94dc3f

Checkout rio-glui or rio-viz rasterio plugins to explore COG locally in your web browser.

Contribution & Development

See CONTRIBUTING.md

Changes

See CHANGES.md.

License

See LICENSE

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

rio_cogeo-5.1.0.tar.gz (19.6 kB view details)

Uploaded Source

Built Distribution

rio_cogeo-5.1.0-py3-none-any.whl (19.4 kB view details)

Uploaded Python 3

File details

Details for the file rio_cogeo-5.1.0.tar.gz.

File metadata

  • Download URL: rio_cogeo-5.1.0.tar.gz
  • Upload date:
  • Size: 19.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for rio_cogeo-5.1.0.tar.gz
Algorithm Hash digest
SHA256 56939965619ca1c99d65aa2f4a0978b9364c1ec79be6e7e5ca2c6d2be7cc754b
MD5 d44725cc148aa211e5a9ccf1b1a8c3fc
BLAKE2b-256 0cfde0bcdbebbf6c0519cdc4c361a0129c444a7402e473e3d905e09946698148

See more details on using hashes here.

Provenance

File details

Details for the file rio_cogeo-5.1.0-py3-none-any.whl.

File metadata

  • Download URL: rio_cogeo-5.1.0-py3-none-any.whl
  • Upload date:
  • Size: 19.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for rio_cogeo-5.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5858c5d39fb845646450e55fb831ce684c285ee73e41db3c299a1efb11086c92
MD5 9d555d8c490569fae1a27bb0625e9add
BLAKE2b-256 1d435f1e3783658762e460b068af8f741e402c2f529b4f3709d715ebb604b082

See more details on using hashes here.

Provenance

Supported by

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