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| Main Authors: | , , , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.16791143 |
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Table of Contents:
- <p>This dataset provides LiDAR-derived canopy height data for the Northern Rivers region of New South Wales, Australia, as part of the research paper “<strong>Landscape-wide modelling of canopy tree crowns and heights using LiDAR: a case study in the Northern Rivers of NSW, Australia</strong>” (2025). Australian Journal of Botany. DOI: https://doi.org/10.1071/BT25031</p> <p><strong>Dataset Contents:</strong></p> <p>The dataset consists of canopy height files (geotiff format store in EPSG:28356) for each Local Government Area (LGA) within the study area. Each file contains the following data for each crown:</p> <ul> <li><strong>Height:</strong> Canopy height model outputs in metres (integer) at a 1 metre spatial resolution.</li> </ul> <p><strong>Related Resources:</strong></p> <ul> <li><strong>GitHub Repository:</strong> <a href="https://github.com/patrick-m-norman/ALS_regional_forest_modelling" rel="nofollow noopener">https://github.com/patrick-m-norman/ALS_regional_forest_modelling </a> <ul> <li>This repository contains the scripts and workflows used to process LiDAR data, derive tree height and crowns, and perform boosted regression tree (BRT) modelling. The documentation within the repository details the processing steps and underlying methodology.</li> </ul> </li> </ul>