Comparison of stand structure and growth characteristics between Korean white pine plantation and oak-dominated natural deciduous forest by thinning treatment

Lee, Daesung; Choi, Jungkee

doi:10.5141/jee.22.013

Cited by 1 publication

(1 citation statement)

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“…For smart thinning operations, a certain level of accuracy is required from the GNSS-RTK positioning equipment. Assuming a minimum distance of about 2.0 m between individual trees in a non-thinned stand, if the positioning error at a tree occurs within a range less than 1.5 times the DBH of the tree, it is deemed sufficiently usable in actual field operations [31]. The RMSE of the positioning error derived in this study was 0.48 m on average for the P. koraiensis stand, which is believed to be sufficiently accurate for thinning operations in domestic coniferous stands.…”

Section: Rmse Of Real-time Positioning Accuracymentioning

confidence: 99%

Assessment of the GNSS-RTK for Application in Precision Forest Operations

Cho,

Park,

Lee

et al. 2023

Remote Sensing

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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.

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Section: Rmse Of Real-time Positioning Accuracymentioning

confidence: 99%