Skip to main content

An advanced forest line feature analysis platform

Project description

BERA Tools

BERA Tools is successor of Forest Line Mapper. It is a toolset for enhanced delineation and attribution of linear disturbances in forests.

GitHub Workflow Status Codecov GitHub Pages Conda Version Python Version License: GPL-3.0

Quick Start

BERA Tools is built upon open-source Python libraries. Anaconda is used to manage runtime environments.

Ways to install BERA Tools:

  • Windows installer
  • Install with Anaconda.

Windows Installer

Windows installer is provided with releases. Check the latest release for the up-to-date installer.

Install with Anaconda

Install with Anaconda works on Windows, macOS, and Linux.

  • Install Miniconda. Download Miniconda from Miniconda and install on your machine.

  • Download the file environment.yml and save to local storage. Launch Anaconda Prompt or Miniconda Prompt.

  • Change directory to where environment.yml is saved in the command prompt.

  • Run the following command to create a new environment named bera. BERA Tools will be installed at the same time.

    $ conda env create -n bera -f environment.yml
    

    Wait until the installation is done.

  • Activate the bera environment and launch BERA Tools:

    $ conda activate bera
    $ beratools
    
  • Download latest example data to try with BERA Tools.

  • To update BERA Tools when new release is issued, run the following commands:

    $ conda activate bera
    $ conda update beratools
    

BERA Tools Guide

Check the online BERA Tools Guide for user, developer guides.

Credits

Logos

This tool is part of the Boreal Ecosystem Recovery & Assessment (BERA). It is actively developed by the Applied Geospatial Research Group.

© 2026 Applied Geospatial Research Group. All rights reserved.

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

beratools-0.3.4.tar.gz (4.5 MB view details)

Uploaded Source

Built Distribution

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

beratools-0.3.4-py3-none-any.whl (4.5 MB view details)

Uploaded Python 3

File details

Details for the file beratools-0.3.4.tar.gz.

File metadata

  • Download URL: beratools-0.3.4.tar.gz
  • Upload date:
  • Size: 4.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for beratools-0.3.4.tar.gz
Algorithm Hash digest
SHA256 93bb9819dc942910043544350307bfecc2d7044edd99aef060a5040d0ad5b194
MD5 071e92313a662b3dba8196cfcad1d2fd
BLAKE2b-256 4f507adde1a9609cf6791eb26da931d60309fb2a1f67a2b2f1ec40e66a594960

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.3.4.tar.gz:

Publisher: publish_to_pypi.yml on appliedgrg/beratools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file beratools-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: beratools-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for beratools-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 94c4f44058fdba8612e467cdae4e992e2fb013b56fdb8b4b2cfa5979782a5bac
MD5 9634c06733d986c728d7f56caa251602
BLAKE2b-256 470493c9d8d9de04f086582c51c90e4f73a6f4f118630230e1bf50ef225e5138

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.3.4-py3-none-any.whl:

Publisher: publish_to_pypi.yml on appliedgrg/beratools

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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