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Forests
Other literature type . Article . 2023 . Peer-reviewed
License: CC BY
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UAV Photogrammetry for Soil Surface Deformation Detection in a Timber Harvesting Area, South Korea

Authors: Jeongjae Kim; Ikhyun Kim; Eugene Ha; Byoungkoo Choi;

UAV Photogrammetry for Soil Surface Deformation Detection in a Timber Harvesting Area, South Korea

Abstract

During forest operations, canopy removal results in the soil surface being vulnerable to deformation, negatively impacting soil fertility and water quality. This study utilized unmanned aerial vehicle (UAV) photogrammetry to accurately detect soil surface deformation (SSD). Two-dimensional images were safely collected on a steep slope without real-time kinematics by conducting vertically parallel flights (VPFs). A high-resolution digital surface model (DSM) with a <3 cm resolution was acquired for precise SSD detection. Using DSM of difference (DoD), SSDs were calculated from DSMs acquired in June, July, September, and October 2022. By checking spatial distances at ground control points, errors of DSM alignments were confirmed as only 3 cm, 11.1 cm, and 4 cm from July to June, September to June, and October to June, respectively. From the first month of monitoring, erosion and deposition of approximately 7 cm and 9 cm, respectively, were detected at validation points (VPs). However, from total monitoring, cumulative SSD was assessed as having deposition tendencies at all VPs, even compared to ground truths. Although UAV photogrammetry can detect SSDs, spatial distortion may occur during UAV surveys. For vegetation growth issues, UAV photogrammetry may be unable to capture data on the soil surface itself.

Related Organizations
Keywords

unmanned aerial vehicle (UAV) photogrammetry; remote sensing; timber harvesting area; soil deformation; ground control point (GCP); steep slope monitoring, Forestry

73 references, page 1 of 8

1. Worrell, R.; Hampson, A. The influence of some forest operations on the sustainable management of forest soils-A review. Forestry 1997, 70, 61-85. [CrossRef] [OpenAIRE]

2. Grace, J.M. Soil erosion following forest operations in the southern piedmont of central Alabama. J. Soil Water Conserv. 2004, 59, 160-166.

3. Kim, I.; Han, S.K.; Acuna, M.; Woo, H.; Oh, J.H.; Choi, B. Effect of heavy machine traffic on soil CO2 concentration and efflux in a Pinus Koraiensis thinning stand. Forests 2021, 12, 1497. [CrossRef]

4. Aust, W.M.; Blinn, C.R. Forestry best management practices for timber harvesting and site preparation in the eastern united states: An overview of water quality and productivity research during the past 20 years (1982-2002). Water Air Soil Pollut. Focus 2004, 4, 5-36. [CrossRef]

5. Grace, J.M., III. Forest operations and water quality in the south. Trans. ASAE 2005, 48, 871-880. [CrossRef]

6. Choi, B.; Hatten, J.A.; Dewey, J.C.; Otsuki, K.; Cha, D. Effect of timber harvesting on stormflow characteristics in headwater streams of managed, forested watersheds in the upper gulf coastal plain of Mississippi. J. Fac. Agric. Kyushu Univ. 2013, 58, 395-402. [CrossRef] [OpenAIRE]

7. Fielding, J.A.H.; Hawks, B.S.; Aust, W.M.; Bolding, M.C.; Barrett, S.M. Estimated erosion from clearcut timber harvests in the southeastern United States. Forest Sci. 2022, 68, 334-342. [CrossRef] [OpenAIRE]

8. Massey, H.F.; Jackson, M.L. Selective erosion of soil fertility constituents. Soil Sci. Soc. Am. J. 1952, 16, 353-356. [CrossRef] [OpenAIRE]

9. Fox, G.A.; Sheshukov, A.; Cruse, R.; Kolar, R.L.; Guertault, L.; Gesch, K.R.; Dutnell, R.C. Reservoir sedimentation and upstream sediment sources: Perspectives and future research needs on streambank and gully erosion. Environ. Manag. 2016, 57, 945-955. [CrossRef]

10. Bashir, S.; Javed, A.; Bibi, I.; Ahmad, N. Soil and Water Conservation; University of Agriculture: Pakistan, Faisalabad, 2017; pp. 263-286.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold
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