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 PyPI Python Version License: GPL-3.0

Quick Start

Here are the ways to install BERA Tools:

  • Windows installer
  • Install with Anaconda.

Windows Installer

Windows installer is provided with releases. Check the latest release.

Install with Anaconda

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

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

  • Download and save the file environment.yml.

  • Launch Anaconda Prompt and Change directory to where environment.yml is saved.

  • Run the command to install BERA Tools.

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

    After the installation is done, a new environment named bera is created and BERA Tools is installed within it.

  • Activate the bera environment and launch BERA Tools main GUI:

    $ conda activate bera
    $ beratools gui
    

BERA Tools Main GUI

For more information about installation, check the BERA Tools Installation.

BERA Tools Guide

Check the online BERA Tools Guide for user, developer and technical 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-0.3.7.tar.gz (8.4 MB view details)

Uploaded Source

Built Distribution

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

beratools-0.3.7-py3-none-any.whl (8.4 MB view details)

Uploaded Python 3

File details

Details for the file beratools-0.3.7.tar.gz.

File metadata

  • Download URL: beratools-0.3.7.tar.gz
  • Upload date:
  • Size: 8.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for beratools-0.3.7.tar.gz
Algorithm Hash digest
SHA256 da76f0ee66cacacb309c8eadd267fbe1db5e0bb6939e5c0106a9d784801da5d3
MD5 f7d4e15aabf3cc39af203d5060e34d65
BLAKE2b-256 8dee295338a9e68d991f9e017a5289ca9207731c2215e6b857e942856d72a994

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.3.7.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-0.3.7-py3-none-any.whl.

File metadata

  • Download URL: beratools-0.3.7-py3-none-any.whl
  • Upload date:
  • Size: 8.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for beratools-0.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 eb5584479a9063a649d978a438b8be45b5f7f30962506af5a40794c2c597d98b
MD5 8c89473555e62187d775a8276c8012e4
BLAKE2b-256 1dffc6a550d2b6b161c020908a7da91b3f264dd38a18e46152974f2157464067

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.3.7-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