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  • Testing the utility of structure from motion photogrammetry

    Rights statement: This is the peer reviewed version of the following article: Glendell, M., McShane, G., Farrow, L., James, M. R., Quinton, J., Anderson, K., Evans, M., Benaud, P., Rawlins, B., Morgan, D., Jones, L., Kirkham, M., DeBell, L., Quine, T. A., Lark, M., Rickson, J., and Brazier, R. E. (2017) Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surf. Process. Landforms, 42: 1860–1871. doi: 10.1002/esp.4142 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/esp.4142/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. / Glendell, Miriam; McShane, Gareth; Farrow, Luke et al.
In: Earth Surface Processes and Landforms, Vol. 42, No. 12, 30.09.2017, p. 1860-1871.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Glendell, M, McShane, G, Farrow, L, James, M, Quinton, J, Anderson, K, Evans, M, Benaud, P, Rawlins, B, Morgan, D, Jones, L, Kirkham, M, DeBell, L, Quine, TA, Lark, M, Rickson, J & Brazier, RE 2017, 'Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion', Earth Surface Processes and Landforms, vol. 42, no. 12, pp. 1860-1871. https://doi.org/10.1002/esp.4142

APA

Glendell, M., McShane, G., Farrow, L., James, M., Quinton, J., Anderson, K., Evans, M., Benaud, P., Rawlins, B., Morgan, D., Jones, L., Kirkham, M., DeBell, L., Quine, T. A., Lark, M., Rickson, J., & Brazier, R. E. (2017). Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surface Processes and Landforms, 42(12), 1860-1871. https://doi.org/10.1002/esp.4142

Vancouver

Glendell M, McShane G, Farrow L, James M, Quinton J, Anderson K et al. Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surface Processes and Landforms. 2017 Sept 30;42(12):1860-1871. Epub 2017 Apr 10. doi: 10.1002/esp.4142

Author

Bibtex

@article{3c2d473851c749bc8837830d331a0724,
title = "Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion",
abstract = "Quantifying the extent of soil erosion at a fine spatial resolution can be time consuming and costly; however, proximal remote sensing approaches to collect topographic data present an emerging alternative for quantifying soil volumes lost via erosion. Herein we compare terrestrial laser scanning (TLS), and both unmanned aerial vehicle (UAV) and ground photography (GP) structure-from-motion (SfM) derived topography. We compare the cost-effectiveness and accuracy of both SfM techniques to TLS for erosion gully surveying in upland landscapes, treating TLS as a benchmark. Further, we quantify volumetric soil loss estimates from upland gullies using digital surface models derived by each technique and subtracted from an interpolated pre-erosion surface. Soil loss estimates from UAV and GP SfM reconstructions were comparable to those from TLS, whereby the slopes of the relationship between all three techniques were not significantly different from 1:1 line. Only for the TLS to GP comparison was the intercept significantly different from zero, showing that GP is more capable of measuring the volumes of very small erosion features. In terms of cost-effectiveness in data collection and processing time, both UAV and GP were comparable with the TLS on a per-site basis (13.4 and 8.2 person-hours versus 13.4 for TLS); however, GP was less suitable for surveying larger areas (127 person-hours per ha(-1) versus 4.5 for UAV and 3.9 for TLS). Annual repeat surveys using GP were capable of detecting mean vertical erosion change on peaty soils. These first published estimates of whole gully erosion rates (0.077 m a(-1)) suggest that combined erosion rates on gully floors and walls are around three times the value of previous estimates, which largely characterize wind and rainsplash erosion of gully walls. Copyright (c) 2017 John Wiley & Sons, Ltd.",
keywords = "soil erosion monitoring, SfM photogrammetry, upland gully erosion, lightweight drones, terrestrial laser scanning, HIGH-RESOLUTION TOPOGRAPHY, GULLY EROSION, LANDSCAPE-SCALE, LOW-COST, LIDAR, UAV, QUANTIFICATION, PEATLANDS, ACCURACY, ENGLAND",
author = "Miriam Glendell and Gareth McShane and Luke Farrow and Michael James and John Quinton and Karen Anderson and Martin Evans and Pia Benaud and Barry Rawlins and David Morgan and Lee Jones and Matthew Kirkham and Leon DeBell and Quine, {Timothy A.} and Murray Lark and Jane Rickson and Brazier, {Richard E.}",
note = "This is the peer reviewed version of the following article: Glendell, M., McShane, G., Farrow, L., James, M. R., Quinton, J., Anderson, K., Evans, M., Benaud, P., Rawlins, B., Morgan, D., Jones, L., Kirkham, M., DeBell, L., Quine, T. A., Lark, M., Rickson, J., and Brazier, R. E. (2017) Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surf. Process. Landforms, 42: 1860–1871. doi: 10.1002/esp.4142 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/esp.4142/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.",
year = "2017",
month = sep,
day = "30",
doi = "10.1002/esp.4142",
language = "English",
volume = "42",
pages = "1860--1871",
journal = "Earth Surface Processes and Landforms",
issn = "0197-9337",
publisher = "Wiley",
number = "12",

}

RIS

TY - JOUR

T1 - Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion

AU - Glendell, Miriam

AU - McShane, Gareth

AU - Farrow, Luke

AU - James, Michael

AU - Quinton, John

AU - Anderson, Karen

AU - Evans, Martin

AU - Benaud, Pia

AU - Rawlins, Barry

AU - Morgan, David

AU - Jones, Lee

AU - Kirkham, Matthew

AU - DeBell, Leon

AU - Quine, Timothy A.

AU - Lark, Murray

AU - Rickson, Jane

AU - Brazier, Richard E.

N1 - This is the peer reviewed version of the following article: Glendell, M., McShane, G., Farrow, L., James, M. R., Quinton, J., Anderson, K., Evans, M., Benaud, P., Rawlins, B., Morgan, D., Jones, L., Kirkham, M., DeBell, L., Quine, T. A., Lark, M., Rickson, J., and Brazier, R. E. (2017) Testing the utility of structure-from-motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion. Earth Surf. Process. Landforms, 42: 1860–1871. doi: 10.1002/esp.4142 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/esp.4142/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2017/9/30

Y1 - 2017/9/30

N2 - Quantifying the extent of soil erosion at a fine spatial resolution can be time consuming and costly; however, proximal remote sensing approaches to collect topographic data present an emerging alternative for quantifying soil volumes lost via erosion. Herein we compare terrestrial laser scanning (TLS), and both unmanned aerial vehicle (UAV) and ground photography (GP) structure-from-motion (SfM) derived topography. We compare the cost-effectiveness and accuracy of both SfM techniques to TLS for erosion gully surveying in upland landscapes, treating TLS as a benchmark. Further, we quantify volumetric soil loss estimates from upland gullies using digital surface models derived by each technique and subtracted from an interpolated pre-erosion surface. Soil loss estimates from UAV and GP SfM reconstructions were comparable to those from TLS, whereby the slopes of the relationship between all three techniques were not significantly different from 1:1 line. Only for the TLS to GP comparison was the intercept significantly different from zero, showing that GP is more capable of measuring the volumes of very small erosion features. In terms of cost-effectiveness in data collection and processing time, both UAV and GP were comparable with the TLS on a per-site basis (13.4 and 8.2 person-hours versus 13.4 for TLS); however, GP was less suitable for surveying larger areas (127 person-hours per ha(-1) versus 4.5 for UAV and 3.9 for TLS). Annual repeat surveys using GP were capable of detecting mean vertical erosion change on peaty soils. These first published estimates of whole gully erosion rates (0.077 m a(-1)) suggest that combined erosion rates on gully floors and walls are around three times the value of previous estimates, which largely characterize wind and rainsplash erosion of gully walls. Copyright (c) 2017 John Wiley & Sons, Ltd.

AB - Quantifying the extent of soil erosion at a fine spatial resolution can be time consuming and costly; however, proximal remote sensing approaches to collect topographic data present an emerging alternative for quantifying soil volumes lost via erosion. Herein we compare terrestrial laser scanning (TLS), and both unmanned aerial vehicle (UAV) and ground photography (GP) structure-from-motion (SfM) derived topography. We compare the cost-effectiveness and accuracy of both SfM techniques to TLS for erosion gully surveying in upland landscapes, treating TLS as a benchmark. Further, we quantify volumetric soil loss estimates from upland gullies using digital surface models derived by each technique and subtracted from an interpolated pre-erosion surface. Soil loss estimates from UAV and GP SfM reconstructions were comparable to those from TLS, whereby the slopes of the relationship between all three techniques were not significantly different from 1:1 line. Only for the TLS to GP comparison was the intercept significantly different from zero, showing that GP is more capable of measuring the volumes of very small erosion features. In terms of cost-effectiveness in data collection and processing time, both UAV and GP were comparable with the TLS on a per-site basis (13.4 and 8.2 person-hours versus 13.4 for TLS); however, GP was less suitable for surveying larger areas (127 person-hours per ha(-1) versus 4.5 for UAV and 3.9 for TLS). Annual repeat surveys using GP were capable of detecting mean vertical erosion change on peaty soils. These first published estimates of whole gully erosion rates (0.077 m a(-1)) suggest that combined erosion rates on gully floors and walls are around three times the value of previous estimates, which largely characterize wind and rainsplash erosion of gully walls. Copyright (c) 2017 John Wiley & Sons, Ltd.

KW - soil erosion monitoring

KW - SfM photogrammetry

KW - upland gully erosion

KW - lightweight drones

KW - terrestrial laser scanning

KW - HIGH-RESOLUTION TOPOGRAPHY

KW - GULLY EROSION

KW - LANDSCAPE-SCALE

KW - LOW-COST

KW - LIDAR

KW - UAV

KW - QUANTIFICATION

KW - PEATLANDS

KW - ACCURACY

KW - ENGLAND

U2 - 10.1002/esp.4142

DO - 10.1002/esp.4142

M3 - Journal article

VL - 42

SP - 1860

EP - 1871

JO - Earth Surface Processes and Landforms

JF - Earth Surface Processes and Landforms

SN - 0197-9337

IS - 12

ER -