AKSOY (2025) Prediction of LAI in Scots pine forests of Türkiye using UAV and Sentinel 2 Images

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-11-11
• Authors: AKSOY, Hasan
• DOI: 10.17632/7gthb4hhct.1

Research Groups

• Sinop Universitesi
• Luonnonvarakeskus Joensuu

Short Summary

This dataset provides ground-measured Leaf Area Index (LAI) values alongside features derived from Unmanned Aerial Vehicle (UAV) and Sentinel-2 imagery, intended for the prediction of LAI in Scots pine forests of Türkiye.

Objective

• To provide a comprehensive dataset for the prediction of Leaf Area Index (LAI) in Scots pine forests of Türkiye, integrating ground measurements with spectral and structural features derived from UAV and Sentinel-2 imagery.

Study Configuration

• Spatial Scale: Scots pine forests of Türkiye.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: Not specified, the dataset is provided for use with predictive models.
• Data sources:
  • Ground measurements (Leaf Area Index)
  • Unmanned Aerial Vehicle (UAV) images (spectral features, structural metrics from point clouds)
  • Sentinel-2 satellite images (spectral features)

Main Results

• The primary output is a comprehensive dataset (DS1-DS5) comprising ground-measured LAI values, spectral and structural features from UAV imagery, and spectral features from Sentinel-2 imagery, structured for machine learning applications.

Contributions

• Provision of a unique, multi-source dataset combining ground-truth LAI with UAV-derived spectral and structural features, and Sentinel-2 imagery for Scots pine forests in Türkiye, facilitating advanced LAI prediction research.

Funding

• Not specified in the provided text.

Citation

@article{AKSOY2025Prediction,
  author = {AKSOY, Hasan},
  title = {Prediction of LAI in Scots pine forests of Türkiye using UAV and Sentinel 2 Images},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/7gthb4hhct.1},
  url = {https://doi.org/10.17632/7gthb4hhct.1}
}