Code for Annual Canopy Height Mapping in Italy Using Landsat and LiDAR

Yang Su and colleagues provide the code and data used for the study "Annual canopy height mapping in Italy from Landsat and multi-source LiDAR for disturbance and recovery monitoring". The dataset is hosted on figshare and was last updated on April 23, 2026. It is funded by the Agence Nationale de la Recherche under the AI4Forests project.

Use Cases

• Training machine learning models for canopy height estimation based on Landsat and LiDAR data fusion.
• Monitoring forest disturbance and recovery over time based on annual canopy height maps.
• Validating satellite-derived forest structure metrics for Italy.

Strengths

• Dataset is associated with a specific, peer-reviewed scientific study.
• Data and code are provided under a permissive CC-BY-4.0 license.
• Includes contributions from multiple international research institutions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 14.6 MB size suggests the primary content is code, not a large geospatial dataset.

Provenance

Source

Code and data from the paper by Yang Su et al.

Collection Method

Likely involves processing Landsat satellite imagery and multi-source LiDAR data.

Freshness

Last updated 2026-04-23 23:26:57; freshness should be verified.

Geography

Italy