BERA Tools
BERA Tools is successor of Forest Line Mapper. It is a toolset for enhanced delineation and attribution of linear disturbances in forests.
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.
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Install Miniconda. Download Miniconda from Miniconda and install on your machine.
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Download and save the file environment.yml.
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Launch Anaconda Prompt and Change directory to where environment.yml is saved.
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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.
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Activate the bera environment and launch BERA Tools main GUI:
$ conda activate bera $ beratools gui
- Download latest example data to try with BERA Tools.
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
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Free code signing on Windows provided by SignPath.io, certificate by SignPath Foundation. |
Credits
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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. |
Metadata
Release files for BERATools 0.5.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| beratools-0.5.4.tar.gz | 9.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| beratools-0.5.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.3 MB
Release files / beratools-0.5.4.tar.gz
| Download URL | beratools-0.5.4.tar.gz |
|---|---|
| Size | 9.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7e05a1ff5155cbf42bacb38615c6e163fa36f79f935a5382f595b51badc2a0a0
|
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BLAKE2b-256 checksum How to use checksums |
b9d6e68fc7f134708f6f01ca148c3343166c103b7f20f057acfd5a688d40f71c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.
Transparency logRelease files / beratools-0.5.4-py3-none-any.whl
| Download URL | beratools-0.5.4-py3-none-any.whl |
|---|---|
| Size | 9.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
059c1c30820331282879d5f3dc863220f2799ff2f445a997cac45b9f768ec689
|
|
BLAKE2b-256 checksum How to use checksums |
45e5e32c70847ce2701bf8faa3ff8267031e15e6e3dbdada01a7b855dcb9c9a5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.
Transparency log