Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm

Daniel McInerney; Frank Barrett; Ronald E. McRoberts; Erkki Tomppo

doi:10.1139/cjfr-2018-0011

Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm

Daniel McInerney, Frank Barrett, Ronald E. McRoberts, Erkki Tomppo

Department of Forest Sciences

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

Original language	English
Journal	Canadian Journal of Forest Research
Volume	48
Issue number	12
Pages (from-to)	1482-1494
Number of pages	13
ISSN	0045-5067
DOIs	https://doi.org/10.1139/cjfr-2018-0011
Publication status	Published - Dec 2018
MoE publication type	A1 Journal article-refereed

Fields of Science

forest inventory
remote sensing
k-NN
nearest neighbors
genetic algorithm
REMOTELY-SENSED DATA
FOREST VARIABLES
VOLUME
BIOMASS
STOCK
FIELD
KNN
4112 Forestry

Access to Document

10.1139/cjfr-2018-0011

cjfr-2018-0011Accepted author manuscript, 2.22 MB

Cite this

@article{bb56e556ae1648febe5f589ff62c3037,

title = "Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm",

keywords = "forest inventory, remote sensing, k-NN, nearest neighbors, genetic algorithm, REMOTELY-SENSED DATA, FOREST VARIABLES, VOLUME, BIOMASS, STOCK, FIELD, KNN, 4112 Forestry",

author = "Daniel McInerney and Frank Barrett and McRoberts, \{Ronald E.\} and Erkki Tomppo",

year = "2018",

month = dec,

doi = "10.1139/cjfr-2018-0011",

language = "English",

volume = "48",

pages = "1482--1494",

journal = "Canadian Journal of Forest Research",

issn = "0045-5067",

publisher = "National Research Council of Canada",

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AU - McInerney, Daniel

AU - Barrett, Frank

AU - McRoberts, Ronald E.

AU - Tomppo, Erkki

PY - 2018/12

Y1 - 2018/12

KW - forest inventory

KW - remote sensing

KW - k-NN

KW - nearest neighbors

KW - genetic algorithm

KW - REMOTELY-SENSED DATA

KW - FOREST VARIABLES

KW - VOLUME

KW - BIOMASS

KW - STOCK

KW - FIELD

KW - KNN

KW - 4112 Forestry

U2 - 10.1139/cjfr-2018-0011

DO - 10.1139/cjfr-2018-0011

M3 - Article

SN - 0045-5067

VL - 48

SP - 1482

EP - 1494

JO - Canadian Journal of Forest Research

JF - Canadian Journal of Forest Research

IS - 12

ER -