Utilizing multispectral lidar in the detection of declined trees

Research output: Thesis › Doctoral Thesis › Collection of Articles

Original language	English
Awarding Institution	University of Helsinki
Supervisors/Advisors	Holopainen, Markus, Supervisor Vastaranta, Mikko, Supervisor
Award date	7 Jun 2019
Place of Publication	Helsinki
Publisher	Finnish Society of Forest Sciences, University of Helsinki - Department of Forest Sciences
Print ISBNs	978-951-651-645-8
Electronic ISBNs	978-951-651-644-1
DOIs	https://doi.org/10.14214/df.277
Publication status	Published - 31 May 2019
MoE publication type	G5 Doctoral dissertation (article)

Fields of Science

@phdthesis{3abb9eaa4ded453d979143251a677202,

title = "Utilizing multispectral lidar in the detection of declined trees",

keywords = "4112 Forestry",

author = "Samuli Junttila",

year = "2019",

month = may,

day = "31",

doi = "10.14214/df.277",

language = "English",

isbn = "978-951-651-645-8",

series = "Dissertation Forestales",

publisher = "Finnish Society of Forest Sciences, University of Helsinki - Department of Forest Sciences",

number = "277",

address = "Finland",

school = "University of Helsinki",

}

TY - THES

T1 - Utilizing multispectral lidar in the detection of declined trees

AU - Junttila, Samuli

PY - 2019/5/31

Y1 - 2019/5/31

KW - 4112 Forestry

UR - https://dissertationesforestales.fi/pdf/article10201.pdf

U2 - 10.14214/df.277

DO - 10.14214/df.277

M3 - Doctoral Thesis

SN - 978-951-651-645-8

T3 - Dissertation Forestales

PB - Finnish Society of Forest Sciences, University of Helsinki - Department of Forest Sciences

CY - Helsinki

ER -