Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

Svetlana Saarela; Anton Grafström; Göran Ståhl; Annika Kangas; Markus Holopainen; Sakari Tuominen; Karin Nordkvist; Juha Hyyppä

doi:10.1016/j.rse.2014.11.020

Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

Svetlana Saarela, Anton Grafström, Göran Ståhl, Annika Kangas, Markus Holopainen, Sakari Tuominen, Karin Nordkvist, Juha Hyyppä

Department of Built Environment

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

Original language	English
Journal	Remote Sensing of Environment
Issue number	1
DOIs	https://doi.org/10.1016/j.rse.2014.11.020
Publication status	Published - 2014
MoE publication type	A1 Journal article-refereed

Keywords

airborne LiDAR
Landsat
model-assisted estimator
probability sampling
REDD monitoring

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10.1016/j.rse.2014.11.020

3D-studio (i3)
Kurkela, M. (Manager)
Department of Built Environment
Facility/equipment: Facility
i3 – Industry Innovation Infrastructure
Sainio, P. (Manager)
School of Engineering
Facility/equipment: Facility

Cite this

@article{86ec90b26eb449d4940d0be7bc6ac6ae,

title = "Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information",

keywords = "airborne LiDAR, Landsat, model-assisted estimator, probability sampling, REDD monitoring, airborne LiDAR, Landsat, model-assisted estimator, probability sampling, REDD monitoring, airborne LiDAR, Landsat, model-assisted estimator, probability sampling, REDD monitoring",

author = "Svetlana Saarela and Anton Grafstr{\"o}m and G{\"o}ran St{\aa}hl and Annika Kangas and Markus Holopainen and Sakari Tuominen and Karin Nordkvist and Juha Hyypp{\"a}",

note = "VK: T20508",

year = "2014",

doi = "10.1016/j.rse.2014.11.020",

language = "English",

journal = "Remote Sensing of Environment",

issn = "0034-4257",

publisher = "Elsevier",

number = "1",

}

TY - JOUR

T1 - Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

AU - Saarela, Svetlana

AU - Grafström, Anton

AU - Ståhl, Göran

AU - Kangas, Annika

AU - Holopainen, Markus

AU - Tuominen, Sakari

AU - Nordkvist, Karin

AU - Hyyppä, Juha

N1 - VK: T20508

PY - 2014

Y1 - 2014

KW - airborne LiDAR

KW - Landsat

KW - model-assisted estimator

KW - probability sampling

KW - REDD monitoring

KW - airborne LiDAR

KW - Landsat

KW - model-assisted estimator

KW - probability sampling

KW - REDD monitoring

KW - airborne LiDAR

KW - Landsat

KW - model-assisted estimator

KW - probability sampling

KW - REDD monitoring

U2 - 10.1016/j.rse.2014.11.020

DO - 10.1016/j.rse.2014.11.020

M3 - Article

SN - 0034-4257

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

IS - 1

ER -

Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

Keywords

Access to Document

Equipment

3D-studio (i3)

i3 – Industry Innovation Infrastructure

Cite this