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Assessment of the GNSS-RTK for Application in Precision Forest Operations
by
Lee, Jung-Soo
, Park, Jin-Woo
, Cho, Hyun-Min
, Han, Sang-Kyun
in
Accuracy
/ Analysis
/ Artificial intelligence
/ Artificial satellites
/ Artificial satellites in remote sensing
/ canopy
/ forest stands
/ Forestry
/ Forests
/ Global navigation satellite system
/ Global Positioning System
/ global positioning systems
/ GNSS-RTK
/ Kinematics
/ Larix kaempferi
/ Methods
/ Pinus koraiensis
/ positioning accuracy
/ precision forestry
/ Radio communications
/ Radio equipment
/ radio signal strength index
/ Radio signals
/ Real time
/ Receivers & amplifiers
/ Root-mean-square errors
/ Signal strength
/ Thinning
/ Trees
2024
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Assessment of the GNSS-RTK for Application in Precision Forest Operations
by
Lee, Jung-Soo
, Park, Jin-Woo
, Cho, Hyun-Min
, Han, Sang-Kyun
in
Accuracy
/ Analysis
/ Artificial intelligence
/ Artificial satellites
/ Artificial satellites in remote sensing
/ canopy
/ forest stands
/ Forestry
/ Forests
/ Global navigation satellite system
/ Global Positioning System
/ global positioning systems
/ GNSS-RTK
/ Kinematics
/ Larix kaempferi
/ Methods
/ Pinus koraiensis
/ positioning accuracy
/ precision forestry
/ Radio communications
/ Radio equipment
/ radio signal strength index
/ Radio signals
/ Real time
/ Receivers & amplifiers
/ Root-mean-square errors
/ Signal strength
/ Thinning
/ Trees
2024
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Assessment of the GNSS-RTK for Application in Precision Forest Operations
by
Lee, Jung-Soo
, Park, Jin-Woo
, Cho, Hyun-Min
, Han, Sang-Kyun
in
Accuracy
/ Analysis
/ Artificial intelligence
/ Artificial satellites
/ Artificial satellites in remote sensing
/ canopy
/ forest stands
/ Forestry
/ Forests
/ Global navigation satellite system
/ Global Positioning System
/ global positioning systems
/ GNSS-RTK
/ Kinematics
/ Larix kaempferi
/ Methods
/ Pinus koraiensis
/ positioning accuracy
/ precision forestry
/ Radio communications
/ Radio equipment
/ radio signal strength index
/ Radio signals
/ Real time
/ Receivers & amplifiers
/ Root-mean-square errors
/ Signal strength
/ Thinning
/ Trees
2024
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Assessment of the GNSS-RTK for Application in Precision Forest Operations
Journal Article
Assessment of the GNSS-RTK for Application in Precision Forest Operations
2024
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Overview
A smart thinning operation refers to an advanced method of selecting and cutting trees to be thinned based on digitally captured forest information. In smart thinning operations, workers use the coordinates of individual trees to navigate to the target trees for thinning. However, it is difficult to accurately locate individual trees in a forest stand covered with a canopy, necessitating a precise real-time positioning system that can be used in the forest. Therefore, this study aimed to evaluate the applicability of the global navigation satellite system real-time kinematic (GNSS-RTK) device in a forest stand through analysis of its positioning accuracy within the forest environment and evaluation of the operational range of the single-baseline RTK based on analysis of the positioning precision and radio signal strength index (RSSI) change with increasing distance from the base station. The results showed that the root mean square error (RMSE) of the horizontal positioning error was highly accurate, with an average of 0.26 m in Larix kaempferi stands and 0.48 m in Pinus koraiensis stands. The RSSI decreased to a minimum of −103.3 dBm within 1 km of distance from the base station; however, this had no significant impact on the horizontal positioning precision. The conclusion is that the GNSS-RTK is suitable for use in smart thinning operations.
Publisher
MDPI AG
Subject
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