California Sub-Meter Canopy Tree Height Maps for 2020

CTrees.org provides canopy tree height maps for California in 2020. The data was created using a deep learning model applied to very-high-resolution airborne imagery from the USDA's National Agriculture Imagery Program (NAIP). The dataset is hosted on the AWS Open Data platform and is licensed under CC-BY-4.0.

Use Cases

• Estimate forest carbon stocks based on canopy height.
• Monitor forest health and growth over time based on tree height data.
• Model wildfire risk and fuel loads based on canopy structure.
• Plan conservation and land management strategies based on forest biomass maps.

Strengths

• Derived from very-high-resolution airborne imagery (NAIP) by the USDA.
• Generated using a deep learning model, suggesting a modern methodological approach.
• Has a clear spatial coverage (California) and temporal reference (2020).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

CTrees.org

Collection Method

Created using a deep learning model on NAIP airborne imagery.

Time Range

2020

Freshness

Data is for the year 2020; update frequency is unknown.

Geography

California, USA