358 citations · 408 across the 5 of their papers we have counts for
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cs.CV2023★ 358 cited
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
Jamie Tolan, Hung-I Yang, Ben Nosarzewski +13
Vegetation structure mapping is critical for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. Repeated measurement…
cs.CV2020★ 38 cited
A global method to identify trees outside of closed-canopy forests with medium-resolution satellite imagery
John Brandt, Fred Stolle
Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change ada…