Skip to main content

Spatiotemporal data processing for the STELAR project

Project description

n# STELAR Spatiotemporal Data Processing Package

This package is part of the EU STELAR project and provides tools for processing spatiotemporal data. The package includes functionality for field delineation (i.e., segmentation) of satellite images, extracting LAI timseries out of the images, and interpolating cloud covers, among others.

## Installation.

To install the package, simply run: ` pip install git+https://github.com/stelar-eu/STELAR_spatiotemporal.git@master `

## Usage.

To use the package, import it in your Python code:

`python import stelar_spatiotemporal ` Then, you can use the various functions provided by the package to process your spatiotemporal data.

## Contributing If you would like to contribute to the package, please see the CONTRIBUTING.md file for guidelines.

## License This package is licensed under the MIT License. See the LICENSE file for details.

## Contact If you have any questions, please contact [Jens D’hondt](mailto:j.e.d.hondt@tue.nl).

## Contributors - Jens d’Hondt (Eindhoven University of Technology) - Giorgos Chatzigeorgakidis (Athena Research Center) - Christoph Joerges (VISTA GmbH)

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

stelar_spatiotemporal-0.0.33.tar.gz (186.7 kB view details)

Uploaded Source

Built Distribution

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

stelar_spatiotemporal-0.0.33-py3-none-any.whl (240.7 kB view details)

Uploaded Python 3

File details

Details for the file stelar_spatiotemporal-0.0.33.tar.gz.

File metadata

  • Download URL: stelar_spatiotemporal-0.0.33.tar.gz
  • Upload date:
  • Size: 186.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for stelar_spatiotemporal-0.0.33.tar.gz
Algorithm Hash digest
SHA256 d135a2a01ddc04bdc16e87f285c7ad5128ad17a8d3f9965e5eb5f488117c78b2
MD5 8aeeeb5db256740e48c475b1f36fde1a
BLAKE2b-256 7b9726152d90fe81481df41ef029e91d47da92827e4fcadca943ce541aed1249

See more details on using hashes here.

File details

Details for the file stelar_spatiotemporal-0.0.33-py3-none-any.whl.

File metadata

File hashes

Hashes for stelar_spatiotemporal-0.0.33-py3-none-any.whl
Algorithm Hash digest
SHA256 19f69dd6a8e7f8cf5a0fd7daf78e9f48d0db9b51c18957bd80e078c350700f0a
MD5 755cb66530a641763c32fa73cbc5cde6
BLAKE2b-256 3fb1be96e1b56f6aa7ad2f32f018638b09471ffb8d67b0f399ec725885c879eb

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