Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet

Omid Abdi; Jori Uusitalo; Julius Pietarinen; Antti Lajunen

doi:10.3390/rs14122856

Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet

Omid Abdi, Jori Uusitalo, Julius Pietarinen, Antti Lajunen

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

Original language	English
Article number	2856
Journal	Remote Sensing
Volume	14
Issue number	12
Number of pages	18
ISSN	2072-4292
DOIs	https://doi.org/10.3390/rs14122856
Publication status	Published - Jun 2022
MoE publication type	A1 Journal article-refereed

Fields of Science

mobile RTK
low-cost GNSS receiver
positioning accuracy
LiDAR data
tree characteristics
terrain conditions
precision forestry
TreeNet
geographic object-based approach
commercial forests
CANOPY
PERFORMANCE
FIELD
4112 Forestry

Access to Document

10.3390/rs14122856Licence: CC BY

http://hdl.handle.net/10138/345478 Licence: CC BY

Viikki Research Farm; including Muddusjärvi and Suitia resources (LS-RIA/ Research Stations)
Jokiniemi, T. (Manager)
Faculty of Agriculture and Forestry
Facility/equipment: Core Facility

Cite this

@article{95cfdd04acbc4a289b6b5cbd829932e5,

title = "Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet",

keywords = "mobile RTK, low-cost GNSS receiver, positioning accuracy, LiDAR data, tree characteristics, terrain conditions, precision forestry, TreeNet, geographic object-based approach, commercial forests, CANOPY, PERFORMANCE, FIELD, 4112 Forestry",

author = "Omid Abdi and Jori Uusitalo and Julius Pietarinen and Antti Lajunen",

year = "2022",

month = jun,

doi = "10.3390/rs14122856",

language = "English",

volume = "14",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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T1 - Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet

AU - Abdi, Omid

AU - Uusitalo, Jori

AU - Pietarinen, Julius

AU - Lajunen, Antti

PY - 2022/6

Y1 - 2022/6

KW - mobile RTK

KW - low-cost GNSS receiver

KW - positioning accuracy

KW - LiDAR data

KW - tree characteristics

KW - terrain conditions

KW - precision forestry

KW - TreeNet

KW - geographic object-based approach

KW - commercial forests

KW - CANOPY

KW - PERFORMANCE

KW - FIELD

KW - 4112 Forestry

U2 - 10.3390/rs14122856

DO - 10.3390/rs14122856

M3 - Article

SN - 2072-4292

VL - 14

JO - Remote Sensing

JF - Remote Sensing

IS - 12

M1 - 2856

ER -

Evaluation of Forest Features Determining GNSS Positioning Accuracy of a Novel Low-Cost, Mobile RTK System Using LiDAR and TreeNet

Fields of Science

Access to Document

Equipment

Viikki Research Farm; including Muddusjärvi and Suitia resources (LS-RIA/ Research Stations)

Cite this