Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016)

Research output: Contribution to journal › Journal article › Research › peer-review

47 Citations (Scopus)

Original language	English
Journal	Remote Sensing of Environment
Volume	211
Pages (from-to)	146-153
Number of pages	7
ISSN	0034-4257
DOIs	https://doi.org/10.1016/j.rse.2018.04.015
Publication status	Published - 2018

Keywords

@article{4bce5789dc4348b9a407ca3d8077260b,

title = "Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016)",

keywords = "Mean ratio, Model assisted estimation, Model-calibration, Multiple imputations, Interpenetrating panel design, Standard error",

author = "Steen Magnussen and Thomas Nord-Larsen and Torben Riis-Nielsen",

year = "2018",

doi = "10.1016/j.rse.2018.04.015",

language = "English",

volume = "211",

pages = "146--153",

journal = "Remote Sensing of Environment",

issn = "0034-4257",

publisher = "Elsevier",

}

TY - JOUR

T1 - Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016)

AU - Magnussen, Steen

AU - Nord-Larsen, Thomas

AU - Riis-Nielsen, Torben

PY - 2018

Y1 - 2018

KW - Mean ratio

KW - Model assisted estimation

KW - Model-calibration

KW - Multiple imputations

KW - Interpenetrating panel design

KW - Standard error

U2 - 10.1016/j.rse.2018.04.015

DO - 10.1016/j.rse.2018.04.015

M3 - Journal article

VL - 211

SP - 146

EP - 153

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -