Using 3D photo-reconstruction methods to estimate gully headcut erosion

Gutiérrez, Álvaro Gómez; Schnabel, Susanne; Berenguer-Sempere, Fernando; Contador, Joaquín Francisco Lavado; Rubio-Delgado, Judit

doi:10.1016/j.catena.2014.04.004

Cited by 136 publications

(124 citation statements)

References 32 publications

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“…When compared with previous studies on gully erosion assessment through SfM photo-reconstruction (Castillo et al, 2012a(Castillo et al, , 2014Gómez-Gutiérrez et al, 2014;Kaiser et al, 2014) in terms of unitary efficiency (field effort per meter of gully), this work showed larger errors (roughly 2 times the average errors in those studies) but at a lower survey intensity (images per meter of gully) and at 1 order of magnitude lower time requirements (Table 3).…”

Section: -D Model Accuracymentioning

confidence: 52%

“…3-D PR has been used for gully erosion assessment at the gully reach or headcut scale (Castillo et al, 2012a;Kaiser et al, 2014;Gómez-Gutiérrez et al, 2014) and ephemeral gullies (Castillo et al, 2014a), usually not more than a few metres extent. However, the full characterization of gully erosion requires the assessment of entire gully networks to understand their geometry and dynamics and this brings several challenges for terrestrial PR:…”

Section: Introductionmentioning

confidence: 99%

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SF3M software: 3-D photo-reconstruction for non-expert users and its application to a gully network

Castillo

James

Redel-Macías

et al. 2015

SOIL

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Abstract. Three-dimensional photo-reconstruction (PR) techniques have been successfully used to produce high-resolution surface models for different applications and over different spatial scales. However, innovative approaches are required to overcome some limitations that this technique may present for field image acquisition in challenging scene geometries. Here, we evaluate SF3M, a new graphical user interface for implementing a complete PR workflow based on freely available software (including external calls to VisualSFM and CloudCompare), in combination with a low-cost survey design for the reconstruction of a several-hundred-metres-long gully network. SF3M provided a semi-automated workflow for 3-D reconstruction requiring ∼ 49 h (of which only 17 % required operator assistance) for obtaining a final gully network model of > 17 million points over a gully plan area of 4230 m 2 . We show that a walking itinerary along the gully perimeter using two lightweight automatic cameras (1 s time-lapse mode) and a 6 m long pole is an efficient method for 3-D monitoring of gullies, at a low cost (∼ EUR 1000 budget for the field equipment) and the time requirements (∼ 90 min for image collection). A mean error of 6.9 cm at the ground control points was found, mainly due to model deformations derived from the linear geometry of the gully and residual errors in camera calibration. The straightforward image collection and processing approach can be of great benefit for non-expert users working on gully erosion assessment.

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Section: -D Model Accuracymentioning

confidence: 52%

Section: Introductionmentioning

confidence: 99%

SF3M software: 3-D photo-reconstruction for non-expert users and its application to a gully network

Castillo

James

Redel-Macías

et al. 2015

SOIL

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show abstract

“…Image-based modelling creates a digital terrain model using a set of photographs taken from the same surface (Frankl et al, 2015). The procedure involves a solution with camera model parameters and scene geometry simultaneously using redundant information coming from oblique images and without using control points during the composition of the model (Gómez-Gutiérrez et al, 2014).…”

Section: Rill and Gully Erosion Measurement By Ground Monitoring Techmentioning

confidence: 99%

Predicting plot soil loss by empirical and process-oriented approaches. A review

Bagarello

Ferro²,

Flanagan

2018

J Agricult Engineer

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Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriented technology for soil erosion prediction at different spatial scales, is presented. The available criteria to discriminate between acceptable and unacceptable soil loss estimates are subsequently introduced. Finally, some research needs, concerning tests of both empirical and process-oriented models, estimates of the soil loss of given return periods, reliability of soil loss measurements, measurements of rill and gully erosion, and physical models are delineated.

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“…SfM-based techniques have been recently employed for a number of geosciences applications, including coastal erosion (James and Robson, 2012), fluvial environments (Fonstad et al, 2013;Woodget et al, in press), gully headcut retreat (Gomez-Gutierrez et al, 2014), etc. The aim of this paper is not to repeat a demonstration of the potential of the SfM approach for geoscience applications (see James et al, 2013;Westoby et al, 2012;Chandler and Fryer, 2013;Fonstad et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Investigating the geomorphological potential of freely available and accessible structure‐from‐motion photogrammetry using a smartphone

Micheletti

Chandler

Lane

2014

Earth Surf Processes Landf

284

225

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We test the acquisition of high‐resolution topographic and terrain data using hand‐held smartphone technology, where the acquired images can be processed using technology freely available to the research community. This is achieved by evaluating the quality of digital terrain models (DTM) of a river bank and an Alpine alluvial fan generated with a fully automated, free‐to‐use, structure‐from‐motion package and a smartphone integrated camera (5 megapixels) with terrestrial laser scanning (TLS) data used to provide a benchmark. To evaluate this approach a 16.2‐megapixel digital camera and an established, commercial, close‐range and semi‐automated software are also employed, and the product of the four combinations of the two types of cameras and software are compared. Results for the river bank survey demonstrate that centimetre‐precision DTMs can be achieved at close range (10 m or less), using a smartphone camera and a fully automated package. Results improve to sub‐centimetre precision with either higher‐resolution images or by applying specific post‐processing techniques to the smartphone DTMs. Application to an entire Alpine alluvial fan system shows the degradation of precision scales linearly with image scale, but that (i) the expected level of precision remains and (ii) difficulties in separating vegetation and sediment cover within the results are similar to those typically found when using other photo‐based techniques and laser scanning systems. Copyright © 2014 John Wiley & Sons, Ltd.

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Using 3D photo-reconstruction methods to estimate gully headcut erosion

Cited by 136 publications

References 32 publications

SF3M software: 3-D photo-reconstruction for non-expert users and its application to a gully network

SF3M software: 3-D photo-reconstruction for non-expert users and its application to a gully network

Predicting plot soil loss by empirical and process-oriented approaches. A review

Investigating the geomorphological potential of freely available and accessible structure‐from‐motion photogrammetry using a smartphone

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