VibrantVS: A high-resolution multi-task transformer for forest canopy height estimation
This paper explores the application of a novel multi-task vision transformer (ViT) model for the estimation of canopy height models (CHMs) using 4-band National Agriculture Imagery Program (NAIP) imagery across the western United States. We compare the effectiveness of this model in terms of accurac...
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Zusammenfassung: | This paper explores the application of a novel multi-task vision transformer
(ViT) model for the estimation of canopy height models (CHMs) using 4-band
National Agriculture Imagery Program (NAIP) imagery across the western United
States. We compare the effectiveness of this model in terms of accuracy and
precision aggregated across ecoregions and class heights versus three other
benchmark peer-reviewed models. Key findings suggest that, while other
benchmark models can provide high precision in localized areas, the VibrantVS
model has substantial advantages across a broad reach of ecoregions in the
western United States with higher accuracy, higher precision, the ability to
generate updated inference at a cadence of three years or less, and high
spatial resolution. The VibrantVS model provides significant value for
ecological monitoring and land management decisions for wildfire mitigation. |
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DOI: | 10.48550/arxiv.2412.10351 |