@misc{indiciae1551ece339c7,
  title = {Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery},
  author = {Abolt, Charles Joseph [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:000000016052199X) and Estrada Santos, Javier Andres [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000224043975) and Atchley, Adam Lee [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000322031994) and Wells, Lucas [Silvx Labs, Missoula, MT (United States)] (ORCID:0000000192108112) and Martin, Daithi [Silvx Labs, Missoula, MT (United States)] and Parsons, Russell A. [USDA Forest Service, Missoula, MT (United States). Fire Sciences Laboratory] (ORCID:0000000150918993) and Linn, Rodman Ray [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000257464880)},
  year = {2025},
  doi = {10.1088/2632-2153/ada47e},
  url = {https://www.osti.gov/biblio/2530370},
  note = {Source identifier: 2530370}
}