"TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR ..."

Daniel Roten et al. (2023)

> Home

Details and statistics

DOI: 10.1109/E-SCIENCE58273.2023.10254923

access: closed

type: Conference or Workshop Paper

metadata version: 2025-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/eScience/RotenWCPMLHA23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eScience/RotenWCPMLHA23
Daniel Roten, Lucas A. Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas:
TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. e-Science 2023: 1-10

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.