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Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study
Predicting canopy height from medium-resolution satellite imagery is a common and scalable approach for assessing the condition of the world's forests, which play a crucial role in climate change mitigation. While Transformer-based architectures have shown strong performance in many domains, their s
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