treetop: A Shiny‐based application and R package for extracting forest information from LiDAR data for ecologists and conservationists
Abstract
Individual tree detection (ITD) and crown delineation are two of the most relevant methods for extracting detailed and reliable forest information from LiDAR (Light Detection and Ranging) datasets. However, advanced computational skills and specialized knowledge have been normally required to extract forest information from LiDAR.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 16, 2022
- Source ID
- 10.1111/2041-210x.13830
Entities
People
- Adrian Cardil
- Ajay Sharma
- Andrew T. Hudak
- Angelica M. Almeyda Zambrano
- Ben Wilkinson
- Caio Hamamura
- Carine Klauberg
- Carlos Silva
- Daniel J. Johnson
- Danilo Roberti Alves de Almeida
- Eben N. Broadbent
- Gabriel Atticciati Prata
- Jason B. Drake
- Jason G. Vogel
- Jeff Atkins
- Lee A. Vierling
- Midhun Mohan
- Paul B. Medley
- Ruben Valbuena
Organizations
- Strategic Environmental Research and Development Program
- Swedish University of Agricultural Sciences
- United States Department of Agriculture
- United States Forest Service
- University of Florida
- University of Idaho
- University of Lleida
- University of São Paulo