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

Standard

Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016). / Magnussen, Steen; Nord-Larsen, Thomas; Riis-Nielsen, Torben.

In: Remote Sensing of Environment, Vol. 211, 2018, p. 146-153.

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

Harvard

Magnussen, S, Nord-Larsen, T & Riis-Nielsen, T 2018, 'Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016)', Remote Sensing of Environment, vol. 211, pp. 146-153. https://doi.org/10.1016/j.rse.2018.04.015

APA

Magnussen, S., Nord-Larsen, T., & Riis-Nielsen, T. (2018). Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016). Remote Sensing of Environment, 211, 146-153. https://doi.org/10.1016/j.rse.2018.04.015

Vancouver

Magnussen S, Nord-Larsen T, Riis-Nielsen T. Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016). Remote Sensing of Environment. 2018;211:146-153. https://doi.org/10.1016/j.rse.2018.04.015

Author

Magnussen, Steen ; Nord-Larsen, Thomas ; Riis-Nielsen, Torben. / Lidar supported estimators of wood volume and aboveground biomass from the Danish national forest inventory (2012-2016). In: Remote Sensing of Environment. 2018 ; Vol. 211. pp. 146-153.

Bibtex

@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",

}

RIS

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 -

ID: 214457877