PT  - JOURNAL ARTICLE
AU  - Allred, Brady W
AU  - McCord, Sarah E.
AU  - Morford, Scott L.
TI  - Canopy height model and NAIP imagery pairs across CONUS
AID  - 10.1101/2024.12.24.630202
DP  - 2025 Jan 01
TA  - bioRxiv
PG  - 2024.12.24.630202
4099  - http://biorxiv.org/content/early/2025/02/03/2024.12.24.630202.short
4100  - http://biorxiv.org/content/early/2025/02/03/2024.12.24.630202.full
AB  - Canopy height models (CHM) provide detailed environmental vertical structure information and are an important indicator and input for ecological and geospatial applications. These models are often spatiotemporally inconsistent, necessitating additional modeling to scale them in space and time. Yet, such scaling is hindered by a lack of spatially diverse data. To address this, we use United States Geological Survey 3D Elevation Program lidar data to produce 22,796,764 one meter resolution CHM chips, stratified across the dominant land covers of the conterminous United States. For each CHM, we pair a matching time-aligned aerial image from the United States Department of Agriculture National Agriculture Imagery Program. This dataset can be used to train models for large scale CHM production.Competing Interest StatementThe authors have declared no competing interest.