Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

Tuomas Yrttimaa; Ninni Saarinen; Ville Kankare; Niko Viljanen; Jari Hynynen; Saija Huuskonen; Markus Holopainen; Juha Hyyppa; Eija Honkavaara; Mikko Vastaranta

doi:10.3390/ijgi9050309

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, Niko Viljanen, Jari Hynynen, Saija Huuskonen, Markus Holopainen, Juha Hyyppa, Eija Honkavaara, Mikko Vastaranta

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Artikelnummer	309
Tidskrift	ISPRS International Journal of Geo-Information
Volym	9
Utgåva	5
Antal sidor	14
ISSN	2220-9964
DOI	https://doi.org/10.3390/ijgi9050309
Status	Publicerad - maj 2020
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

4112 Skogsvetenskap

Åtkomst av dokument

10.3390/ijgi9050309

ijgi-09-00309-v2Slutlig publicerad version, 3,09 MBLicens: CC BY

Citera det här

Yrttimaa, T., Saarinen, N., Kankare, V., Viljanen, N., Hynynen, J., Huuskonen, S., Holopainen, M., Hyyppa, J., Honkavaara, E., & Vastaranta, M. (2020). Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. ISPRS International Journal of Geo-Information, 9(5), [309]. https://doi.org/10.3390/ijgi9050309

Yrttimaa, Tuomas ; Saarinen, Ninni ; Kankare, Ville ; Viljanen, Niko ; Hynynen, Jari ; Huuskonen, Saija ; Holopainen, Markus ; Hyyppa, Juha ; Honkavaara, Eija ; Vastaranta, Mikko. / Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. I: ISPRS International Journal of Geo-Information. 2020 ; Vol. 9, Nr. 5.

@article{654e7829dcd441b3bfda5f73d5d9d6e3,

title = "Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands",

keywords = "terrestrial laser scanning, unmanned aerial vehicle, image matching, remote sensing, forest inventory, INDIVIDUAL TREE DETECTION, POINT CLOUDS, FOREST INVENTORY, LASER, BIOMASS, PHOTOGRAMMETRY, DENSITY, LIDAR, UAV, IDENTIFICATION, 4112 Forestry",

author = "Tuomas Yrttimaa and Ninni Saarinen and Ville Kankare and Niko Viljanen and Jari Hynynen and Saija Huuskonen and Markus Holopainen and Juha Hyyppa and Eija Honkavaara and Mikko Vastaranta",

year = "2020",

month = may,

doi = "10.3390/ijgi9050309",

language = "English",

volume = "9",

journal = "ISPRS International Journal of Geo-Information",

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Yrttimaa, T , Saarinen, N , Kankare, V, Viljanen, N, Hynynen, J, Huuskonen, S, Holopainen, M, Hyyppa, J, Honkavaara, E & Vastaranta, M 2020, 'Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands', ISPRS International Journal of Geo-Information, vol. 9, nr. 5, 309. https://doi.org/10.3390/ijgi9050309

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. / Yrttimaa, Tuomas ; Saarinen, Ninni ; Kankare, Ville; Viljanen, Niko; Hynynen, Jari; Huuskonen, Saija; Holopainen, Markus; Hyyppa, Juha; Honkavaara, Eija; Vastaranta, Mikko.

I: ISPRS International Journal of Geo-Information, Vol. 9, Nr. 5, 309, 05.2020.

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

TY - JOUR

T1 - Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

AU - Yrttimaa, Tuomas

AU - Saarinen, Ninni

AU - Kankare, Ville

AU - Viljanen, Niko

AU - Hynynen, Jari

AU - Huuskonen, Saija

AU - Holopainen, Markus

AU - Hyyppa, Juha

AU - Honkavaara, Eija

AU - Vastaranta, Mikko

PY - 2020/5

Y1 - 2020/5

KW - terrestrial laser scanning

KW - unmanned aerial vehicle

KW - image matching

KW - remote sensing

KW - forest inventory

KW - INDIVIDUAL TREE DETECTION

KW - POINT CLOUDS

KW - FOREST INVENTORY

KW - LASER

KW - BIOMASS

KW - PHOTOGRAMMETRY

KW - DENSITY

KW - LIDAR

KW - UAV

KW - IDENTIFICATION

KW - 4112 Forestry

U2 - 10.3390/ijgi9050309

DO - 10.3390/ijgi9050309

M3 - Article

VL - 9

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

SN - 2220-9964

IS - 5

M1 - 309

ER -