Can DEM time series produced by UAV be used to quantify diffuse erosion in an agricultural watershed?

Pineux, Nathalie; Lisein, Jonathan; Swerts, Gilles; Bielders, Charles; Lejeune, Philippe; Colinet, Gilles; Degré, A.

doi:10.1016/j.geomorph.2016.12.003

Cited by 96 publications

(72 citation statements)

References 92 publications

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“…The root mean square error (RMSE) of the DSM with 15 GCPs was 2.37 cm in the east-west direction, 2.14 cm in the north-south direction, 1.58 cm vertically, and 3.56 cm overall (Table 1). The reprojection error was 0.46 pixel, which is no larger than that of a similar SfM analysis with images taken by UAV (Pineux et al, 2016).…”

Section: Uav-sfm Datamentioning

confidence: 62%

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Izumida

Uchiyama

Sugai

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Geomorphic impacts of a disastrous crevasse splay that formed in September 2015 and its post-formation modifications were quantitatively documented by using repeated, high-definition digital surface models (DSMs) of an inhabited and cultivated floodplain of the Kinu River, central Japan. The DSMs were based on pre-flood (resolution: 2 m) and post-flood (resolution: 1 m) aerial light detection and ranging (lidar) data from January 2007 and September 2015, respectively, and on structure-from-motion (SfM) photogrammetry data (resolution: 3.84 cm) derived from aerial photos taken by an unmanned aerial vehicle (UAV) in December 2015. After elimination of systematic errors among the DSMs and down-sampling of the SfM-derived DSM, elevation changes on the order of 10 −1 m -including not only topography but also growth of vegetation, vanishing of flood waters, and restoration and repair works -were detected. Comparison of the DSMs showed that the volume eroded by the flood was more than twice the deposited volume in the area within 300-500 m of the breached artificial levee, where the topography was significantly affected. The results suggest that DSMs based on a combination of UAV-SfM and lidar data can be used to quantify, rapidly and in rich detail, topographic changes on floodplains caused by floods.

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Section: Uav-sfm Datamentioning

confidence: 62%

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Izumida

Uchiyama

Sugai

2017

Nat. Hazards Earth Syst. Sci.

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“…Soils are derived from quaternary loess with good drainage. The dominant soil types are Cambisols and Luvisols (Pineux et al, 2017). The land use is mostly agricultural (≈ 95% of surface).…”

Section: Study Areamentioning

confidence: 99%

“…The remaining 5% of the area consists of grass strips, roads, paths and woods ( Figure 1). The combination of sensitive soils and intensive agriculture fosters erosion (Pineux et al, 2017). The Belgian loess belt is known for the high rates of soil erosion by water and frequent muddy floods (Verstraeten and Poesen, 1999;Bielders et al, 2003;Verstraeten et al, 2006;Boardman, 2010;Boardman and Vandaele, 2010;Evrard et al, 2007Evrard et al, , 2010.…”

Section: Study Areamentioning

confidence: 99%

How pixel size affects a sediment connectivity index in central Belgium

Cantreul

Bielders

Calsamiglia

et al. 2017

Earth Surf Processes Landf

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Connectivity has become an increasingly used concept in hydrological and sediment research. In order to quantify it, various indices have been proposed since the start of the 21st century including the index of connectivity. This index is based on a limited number of factors, the most important one being topography. Sediment connectivity indices values probably depend on the digital elevation model (DEM) resolution. The aim of this study was, first, to compare the effect of DEM pixel size (between 0.25 and 10 m, using an UAV) in the Belgian loess belt, a lowland area. We show that the index values were lower when the pixel size decreased (a difference of about 20% in value between 0.25 and 10 m). In addition, the impact of linear features in the watershed (e.g. grass strip, bank and road) was lower with the largest pixel sizes, and the connectivity pattern was affected with a pixel size of 5 m or more. At lower pixel sizes (1 m or below), some more disconnected regions appeared. These corresponded with zones where there had been water stagnation during and after rainfalls, and was corroborated by field observations. This confirmed the need for a proper resolution according to the objectives of the study. The second aim of this study was to deduce a minimum pixel size for connectivity study, helping local erosion or sedimentation location and consequent land management decisions. In our context, 1 m stands as the optimum DEM resolution. This pixel size permitted location of all ‘key areas’ in terms of erosion. Very high resolutions (<0.5 m) did not generate much more information, and their calculation time was far greater. Copyright © 2017 John Wiley & Sons, Ltd.

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“…, ; Pineux et al. , ). The statistical distributions of slopes in a variety of landscapes have been linked to the landscape orogenetic properties and to the main erosional and depositional mechanisms driving their evolution (see, e.g., Speight, ; Montgomery, ; Wolinsky and Pratson, ; Vico and Porporato, ; Bonetti and Porporato, ).…”

Section: Introductionmentioning

confidence: 99%

The effect of accelerated soil erosion on hillslope morphology

Bonetti

Richter

Porporato

2019

Earth Surf Processes Landf

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Intensive agricultural land use can have detrimental effects on landscape properties, greatly accelerating soil erosion, with consequent fertility loss and reduced agricultural potential. To quantify the effects of such erosional processes on hillslope morphology and gain insight into the underlying dynamics, we use a twofold approach. First, a statistical analysis of topographical features is conducted, with a focus on slope and gradient distributions. The accelerated soil erosion is shown to be fingerprinted in the distribution tails, which provide a clear statistical signature of this human‐induced land modification. Theoretical solutions are then derived for the hillslope morphology and the associated creep and runoff erosion fluxes, allowing us to distinguish between the main erosional mechanisms operating in disturbed and undisturbed areas. We focus our application on the landscape at the Calhoun Critical Zone Observatory in the US Southern Piedmont, where severe soil erosion followed intensive cotton cultivation, resulting in highly eroded and gullied hillslopes. The observed differences in hillslope morphologies in disturbed and undisturbed areas are shown to be related to the disruption of the natural balance between soil creep and runoff erosion. The relaxation time required for the disturbed hillslopes to reach a quasi‐equilibrium condition is also investigated. © 2019 John Wiley & Sons, Ltd.

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Can DEM time series produced by UAV be used to quantify diffuse erosion in an agricultural watershed?

Cited by 96 publications

References 92 publications

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

Application of UAV-SfM photogrammetry and aerial lidar to a disastrous flood: repeated topographic measurement of a newly formed crevasse splay of the Kinu River, central Japan

How pixel size affects a sediment connectivity index in central Belgium

The effect of accelerated soil erosion on hillslope morphology

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