Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

Carlos Alberto Silva; Carine Klauberg; Andrew Thomas Hudak; Lee A Vierling; Veraldo Liesenberg; Luiz G Bernett; Clewerson F Scheraiber; Emerson R Schoeninger

doi:10.1590/0001-3765201820160071

Back

Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

Journal article

Peer reviewed

Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

Carlos Alberto Silva, Carine Klauberg, Andrew Thomas Hudak, Lee A Vierling, Veraldo Liesenberg, Luiz G Bernett, Clewerson F Scheraiber and Emerson R Schoeninger

Anais Da Academia Brasileira De Ciencias, Vol.90(1), pp.295-309

2018

DOI: https://doi.org/10.1590/0001-3765201820160071

Files and links (1)

url

https://doi.org/10.1590/0001-3765201820160071View

Metrics

1 Record Views

14 Times Cited - Web of Science

See more details

Details

Title: Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation
Creators: Carlos Alberto Silva - University of Idaho
Carine Klauberg - Rocky Mountain Research
Andrew Thomas Hudak - Rocky Mountain Research
Lee A Vierling - University of Idaho
Veraldo Liesenberg - Universidade do Estado de Santa Catarina
Luiz G Bernett
Clewerson F Scheraiber
Emerson R Schoeninger
Publication Details: Anais Da Academia Brasileira De Ciencias, Vol.90(1), pp.295-309
Identifiers: 996630522801851
Academic Unit: Center for Research on Invasive Species; Idaho Experimental Partnership to Stimulate Competitive Research; Natural Resources and Society; Rangeland Center
Language: English
Resource Type: Journal article