The effect of grid size on the quantification of erosion, deposition, and rill network

Lu, Xi‐Yun; Li, Yingkui; Washington-Allen, R. A.; Li, Yanan; Li, Haidong; Hu, Qingwu

doi:10.1016/j.iswcr.2017.06.002

Cited by 33 publications

(22 citation statements)

References 52 publications

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“…In other words, higher DEM resolutions yielded higher values of total length measurement. This result is consistent with that obtained by Lu et al (), which investigated the influence of DEM resolution (ranging from 1 to 30 cm) obtained by a TLS survey on a rill network. The authors also found that the average length of each rill slightly increased as DEM resolution decreased.…”

Section: Discussionmentioning

confidence: 95%

“…Various methods have been used in different studies to extract channel network from a DEM such as the landform curvature method (Pirotti & Tarolli, ; Tarolli, Sofia, & Dalla Fontana, ), the slope analysis (Vinci, Brigante, Todisco, Mannocchi, & Radicioni, ), the Broscoe's method (Broscoe, ; Carollo et al, ; Lu et al, ; Vinci et al, ), and the Canny operator (Canny, ). The landform curvature method, the slope analysis, and the Canny operator allow to extract the outline of the channel, whereas the Broscoe's method allows to determine the critical contributing area for the initiation of the channels.…”

Section: Methodsmentioning

confidence: 99%

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An automatic approach for rill network extraction to measure rill erosion by terrestrial and low‐cost unmanned aerial vehicle photogrammetry

Stefano

Palmeri

Pampalone

2019

Hydrological Processes

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For an erosion event (October 2016) occurred at the Sparacia experimental area (Southern Italy), both terrestrial and low‐altitude aerial surveys were carried out by consumer grade camera and quadcopter (low‐cost unmanned aerial vehicle [UAV]) to measure rill erosion on two plots with steepness of 22% and 26%. Applying the structure from motion (SfM) technique, the three‐dimensional digital terrain models (3D‐DTMs) and the quasi three‐dimensional models (2.5D‐digital elevation model [DEM]) were obtained by the two surveys. Furthermore, 3D‐DTM and DEM were built using the available aerial photographs (166) and adding 40 terrestrial photographs. For the first time, the convergence index was applied to high‐resolution rill data for extracting the rill network, and a subsequent separation into contributing and non‐contributing rills was carried out. The comparison among the three surveys (terrestrial, UAV, and UAV + terrestrial) was developed using two morphometric parameters of the rill network (drainage density and drainage frequency). Moreover, using as reference the weight of sediment stored on the tanks located downstream of the plots, the reliability of soil loss measurement by 3D models was tested. For both contributing and non‐contributing rills, the morphometric parameters were higher for the terrestrial than for UAV and UAV + terrestrial surveys. For both plots, SfM always provided reliable soil loss measurements, which were affected by errors ranging from −8% to 13%. Although the applied technique used a low‐cost UAV and a consumer grade camera, the obtained results demonstrated that a reliable estimate of rill erosion can be obtained in an area of interest.

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Section: Discussionmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

An automatic approach for rill network extraction to measure rill erosion by terrestrial and low‐cost unmanned aerial vehicle photogrammetry

Stefano

Palmeri

Pampalone

2019

Hydrological Processes

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“…Rills, defined here as micro‐relief (<0.5 m) and very narrow (<2 m) erosional features, occur mostly on valley heads and inner gorges, and gullies, wider and deeper than rills but narrower (<15 m) and shallower (<5 m) than channels, occur mostly along the zones of topographic convergence (i.e. hillslope hollows or topographic depressions) (Gao, ; Knighton, ; Lu et al ., ). The dimensions of rills and gullies typify the study area.…”

Section: Study Areamentioning

confidence: 97%

Hillslope response under variable microclimate

Regmi

McDonald

Rasmussen

2019

Earth Surf Processes Landf

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Solar radiation‐controlled microclimatic variation has been considered a major force on hillslope evolution via feedback among geomorphology, vegetation, soil and hydrology. In this study, we investigate the influence of solar radiation on hillslope dynamics on Santa Catalina Island, CA by comparing hillslope morphology and frequency–magnitude relationships of shallow landslides, rills and gullies on slopes receiving low annual solar radiation (LSR) and high annual solar radiation (HSR), which were found equivalent to north‐ and south‐facing slopes, respectively. LSR slopes on Santa Catalina Island were found more vegetated compared to HSR slopes. LiDAR elevation‐derived hillslope morphology showed LSR slopes steeper, rougher and more concave than HSR slopes. Similarly, frequency–magnitude plots showed larger relative frequency of high‐magnitude shallow landslides, rills and gullies on LSR slopes, and low‐magnitude shallow landslides, rills and gullies on HSR slopes. We argue that the morphology, mass movement and erosion characteristics of LSR and HSR slopes reflect the process–response of microclimate‐controlled variation in type and density of vegetation cover, soil physical properties – including moisture, texture, structure, infiltration and erodibility – and surface and subsurface hydrology. © 2019 John Wiley & Sons, Ltd. © 2019 John Wiley & Sons, Ltd.

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“…However, ground truthing is necessary to fully utilize their potential for applications such as classification of land use, crop cover, and phenophases [122,123]. Similar to digital elevation models, remote sensing products (and derivate such as in this study) have a defined resolution that can lead to misrepresentation of processes occurring on sub-grid scale [17,124,125], which in turn can limit management at sub-grid scales. For example, most sediment management measures applicable in sediment source areas, such as check dams, buffer strips, soil cover management (crop, land use change, and geotextiles), terracing, and others [17,126] would ideally be planned at fine scales as leverage areas, to be distinguished from global datasets.…”

Section: Common Challenges For Research and Management Of Leverage Armentioning

confidence: 99%

Mesoscale Mapping of Sediment Source Hotspots for Dam Sediment Management in Data-Sparse Semi-Arid Catchments

Smetanová

Müller

Zargar

et al. 2020

Water

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Land degradation and water availability in semi-arid regions are interdependent challenges for management that are influenced by climatic and anthropogenic changes. Erosion and high sediment loads in rivers cause reservoir siltation and decrease storage capacity, which pose risk on water security for citizens, agriculture, and industry. In regions where resources for management are limited, identifying spatial-temporal variability of sediment sources is crucial to decrease siltation. Despite widespread availability of rigorous methods, approaches simplifying spatial and temporal variability of erosion are often inappropriately applied to very data sparse semi-arid regions. In this work, we review existing approaches for mapping erosional hotspots, and provide an example of spatial-temporal mapping approach in two case study regions. The barriers limiting data availability and their effects on erosion mapping methods, their validation, and resulting prioritization of leverage management areas are discussed.

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The effect of grid size on the quantification of erosion, deposition, and rill network

Cited by 33 publications

References 52 publications

An automatic approach for rill network extraction to measure rill erosion by terrestrial and low‐cost unmanned aerial vehicle photogrammetry

An automatic approach for rill network extraction to measure rill erosion by terrestrial and low‐cost unmanned aerial vehicle photogrammetry

Hillslope response under variable microclimate

Mesoscale Mapping of Sediment Source Hotspots for Dam Sediment Management in Data-Sparse Semi-Arid Catchments

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