🌏Overview
Bulldozer is a pipeline designed to extract a Digital Terrain Model (DTM) from a Digital Surface Model (DSM). It supports both noisy satellite DSMs and high-quality LiDAR DSMs.
✨ Features
- Digital Terrain Model (DTM) extraction from a single Digital Surface Model (DSM)
- Requires only a DSM as mandatory input
- Optional ground / non-ground mask support
- Designed for both noisy satellite DSMs and high-quality LiDAR DSMs
- Command-line interface (CLI)
- Python API
- Configuration-file based execution
- Docker container support
- Fully open-source (Apache 2.0)
🚀 Quick Start
🛠️ Installation
You can install Bulldozer by running the following command:
pip install bulldozer-dtm
For alternative installation methods, please refer to the documentation.
Requirements
- Python ≥ 3.10
⚙️ Run Bulldozer
As described in the documentation, there are many different ways to launch Bulldozer. Here are the three most popular:
- Using the CLI (Command Line Interface) - Run the following command line after updating the parameters
input_dsm.tifandoutput_dir:
bulldozer -dsm input_dsm.tif -out output_dir
You can also add optional parameters such as -ndsm, please refer to the helper (bulldozer -h) command to see all the options.
✅ Done! Your DTM is available in the output_dir.
- Using the Python API - You can directly provide the input parameters to the
dsm_to_dtmfunction:
from bulldozer import dsm_to_dtm
dsm_to_dtm(dsm_path="input_dsm.tif", output_dir="output_dir")
✅ Done! Your DTM is available in the output_dir.
- Using a configuration file (CLI) - Based on provided configuration file templates, you can run the following command line:
bulldozer conf/configuration_template.yaml
✅ Done! Your DTM is available in the directory defined in the configuration file.
🐋 Bulldozer docker image
Bulldozer is available on Docker Hub and can be downloaded using:
docker pull cnes/bulldozer
And you can run Bulldozer with the following command:
Linux / macOS
docker run --user $(id -u):$(id -g) -v <absolute/path>:/data cnes/bulldozer:latest /data/<conf>.yaml
Windows (PowerShell)
docker run --rm -v C:<absolute/path>:/data cnes/bulldozer:latest /data/<conf>.yaml
⚠️ You have to change the <absolute/path> to provide a valid absolute path to a directory where the input data are stored and where Bulldozer will write the output DTM. You also have to provide a configuration file (and rename <conf>.yaml in the command line) in this directory with an output_dir value using the data folder given to docker, e.g.: output_dir : "/data/outputdir".
✒️ Credits
If you use Bulldozer in your research, please cite the following paper:
@article{bulldozer2023,
title={Bulldozer, a free open source scalable software for DTM extraction},
author={Dimitri, Lallement and Pierre, Lassalle and Yannick, Ott},
journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
volume = {XLVIII-4/W7-2023},
year = {2023},
pages = {89--94},
url = {https://isprs-archives.copernicus.org/articles/XLVIII-4-W7-2023/89/2023/},
doi = {10.5194/isprs-archives-XLVIII-4-W7-2023-89-2023}
}
📜 License
Bulldozer is licensed under permissive Apache License 2.0. Please refer to the LICENSE file for more details.
🆘 Support
For issues, questions, or feature requests, please open an issue on our GitHub Issues page or check the documentation for additional resources.
🤝Contributing
We welcome contributions! Please read our Contributing Guidelines for details on how to get involved, including coding standards and submission processes.
Metadata
Release files for bulldozer-dtm 1.3.1
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Source distribution (sdist)
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|---|---|---|---|
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Built distributions (wheels)
Total release size: 45.9 MB
Release files / bulldozer_dtm-1.3.1.tar.gz
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