Skip to main content

BERA Tools

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

Python Integration Tests 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. Official Windows installers are signed under the BERA Tools Code signing policy.

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.

Sponsors

SignPath logo Free code signing on Windows provided by SignPath.io, certificate by SignPath Foundation.

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.

Download files

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

Source Distribution

beratools-0.5.1.tar.gz (9.6 MB view details)

Uploaded Source

Built Distribution

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

beratools-0.5.1-py3-none-any.whl (9.6 MB view details)

Uploaded Python 3

File details

Details for the file beratools-0.5.1.tar.gz.

File metadata

  • Download URL: beratools-0.5.1.tar.gz
  • Upload date:
  • Size: 9.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for beratools-0.5.1.tar.gz
Algorithm Hash digest
SHA256 ca563f5bd3e5a53f9b933161a97a6598ff1e9746a82cfabfecb4140824160e94
MD5 ecadacb03970a2ff0a291aa5326c70c6
BLAKE2b-256 f2d08c3537395f0ee657ba7de513ce2b077c996377cdc52b96977ddd917c8a9c

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.5.1.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-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: beratools-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 9.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for beratools-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 71be70bfb3aeb0640894a818abb8f36da1ffe4f20f8a81dce52fc8ed6c069ab9
MD5 ef07833b951e29c80b701ecdeaea314c
BLAKE2b-256 0fd8db96b357c85dbef42d934e27a21a7fab64a30264099d2d9257785cf84fe4

See more details on using hashes here.

Provenance

The following attestation bundles were made for beratools-0.5.1-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 Sentry Error logging StatusPage Status page