Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data

Ruben Valbuena; Matti Maltamo; Lauri Mehtatalo; Petteri Packalen

doi:10.1016/j.rse.2016.10.024

Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data

Ruben Valbuena
, Matti Maltamo
, Lauri Mehtatalo
, Petteri Packalen

University of Eastern Finland

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	437-446
Journal	Remote Sensing of Environment
Volume	194
DOIs	https://doi.org/10.1016/j.rse.2016.10.024
Publication status	Published - 1 Jun 2017
Externally published	Yes

Keywords

Airborne laser scanning
L-moments
Gini coefficient
L-coefficient of variation
Forest structure
Tree size inequality
Shade-tolerance

Access to Document

10.1016/j.rse.2016.10.024

Cite this

@article{b8f52499c0424221845942ca05d5e28a,

title = "Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data",

keywords = "Airborne laser scanning, L-moments, Gini coefficient, L-coefficient of variation, Forest structure, Tree size inequality, Shade-tolerance",

author = "Ruben Valbuena and Matti Maltamo and Lauri Mehtatalo and Petteri Packalen",

year = "2017",

month = jun,

day = "1",

doi = "10.1016/j.rse.2016.10.024",

language = "English",

volume = "194",

pages = "437--446",

journal = "Remote Sensing of Environment",

issn = "0034-4257",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar data

AU - Valbuena, Ruben

AU - Maltamo, Matti

AU - Mehtatalo, Lauri

AU - Packalen, Petteri

PY - 2017/6/1

Y1 - 2017/6/1

KW - Airborne laser scanning

KW - L-moments

KW - Gini coefficient

KW - L-coefficient of variation

KW - Forest structure

KW - Tree size inequality

KW - Shade-tolerance

U2 - 10.1016/j.rse.2016.10.024

DO - 10.1016/j.rse.2016.10.024

M3 - Article

SN - 0034-4257

VL - 194

SP - 437

EP - 446

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

ER -