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institution

World Resources Institute

United States

4 papers here448 citations across 4
fields
  • cs.CV2
  • cs.IR1
  • eess.SP1
ROR 047ktk903OpenAlex

affiliations via OpenAlex

output
20192023
most citedVery high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar

358 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • J. Brandt3 · h 6
  • Ben Nosarzewski1 · h 2
  • Brian C. Murray1 · h 4
  • Brian White1 · h 4
  • C. Couprie1 · h 23
  • Daniel Haziza1 · h 11
  • D. Harrison-Atlas1 · h 11
  • F. Stolle1 · h 26
  • Guillaume Couairon1 · h 16
  • Hung-I Yang1 · h 5
  • Huy V. Vo1 · h 14
  • James M. Tolan1 · h 8
collaborating institutions
  • Desert Research InstituteUS1 paper
  • Duke Energy (United States)US1 paper
  • Duke UniversityUS1 paper
  • National Laboratory of the RockiesUS1 paper
  • University of MontanaUS1 paper
Showing 2020Show all

1 paper · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.