Accuracy of methods for field assessment of rill and ephemeral gully erosion

Casalí, Javier; Loizu, Javier; Campo, Miguel Angel; Santisteban, L.M. De; Álvarez‐Mozos, Jesús

doi:10.1016/j.catena.2006.03.005

Cited by 148 publications

(101 citation statements)

References 12 publications

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“…Accurate ground measurements of ephemeral gully erosion are frequently carried out using a microtopographic profiler, a tape or a ruler, to assess some channel cross-sections (Di Stefano and Ferro, 2011;Di Stefano et al, 2013). These ground measurements, which are simple and lowReview N o n -c o m m e r c i a l u s e o n l y cost, allow measurement of the cross-sectional areas and the reach length and calculation of the ephemeral gully volume, even if, according to Casalì et al (2006), the limit of these simple methods is due to the lack of information on the errors associated with ground measurements of the cross-sections.…”

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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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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“…Various techniques have been applied for measuring, mapping and monitoring gully erosion accordingly. Compared with conventional techniques (e.g., ruler, tape, microtopographic profilers [13], poles, total stations [14], pins [15] and differential GPS [16,17]), which are time-consuming for achieving high accuracy in field surveys at a small scale, the development of remote sensing techniques has provided an efficient method to obtain spatially continuous gully information over large scales for different time periods. Classical aerial photography has been effectively employed for large-scale areas and long-term investigations, but with low spatial and temporal resolution [18,19].…”

Section: Introductionmentioning

confidence: 99%

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Wang

Zhang

et al. 2016

IJGI

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This research is focused on gully erosion mapping and monitoring at multiple spatial scales using multi-source remote sensing data of the Sancha River catchment in Northeast China, where gullies extend over a vast area. A high resolution satellite image (Pleiades 1A, 0.7 m) was used to obtain the spatial distribution of the gullies of the overall basin. Image visual interpretation with field verification was employed to map the geometric gully features and evaluate gully erosion as well as the topographic differentiation characteristics. Unmanned Aerial Vehicle (UAV) remote sensing data and the 3D photo-reconstruction method were employed for detailed gully mapping at a site scale. The results showed that: (1) the sub-meter image showed a strong ability in the recognition of various gully types and obtained satisfactory results, and the topographic factors of elevation, slope and slope aspects exerted significant influence on the gully spatial distribution at the catchment scale; and (2) at a more detailed site scale, UAV imagery combined with 3D photo-reconstruction provided a Digital Surface Model (DSM) and ortho-image at the centimeter level as well as a detailed 3D model. The resulting products revealed the area of agricultural utilization and its shaping by human agricultural activities and water erosion in detail, and also provided the gully volume. The present study indicates that using multi-source remote sensing data, including satellite and UAV imagery simultaneously, results in an effective assessment of gully erosion over multiple spatial scales. The combined approach should be continued to regularly monitor gully erosion to understand the erosion process and its relationship with the environment from a comprehensive perspective.

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“…Gully erosion causes more significant soil loss and soil degradation compared with hillslope erosion [42]. There are numerous techniques for monitoring and quantification of gully erosion, such as ruler, tape, microtopographic profilers [43], poles, total stations [44], pins [45], differential GPS [11,46], terrestrial laser scanners [47], stereoscopic photogrammetry on ground [48], aerial photographs [49,50], visual analysis of satellite images [51,52], object-oriented analysis [53], 3D photo-reconstruction [44,54], and unmanned aerial vehicles [55]. Analysis of satellite images combined with field validation has proven to be an excellent and practical approach for mapping of gully features and assessing gully erosion over large areas [10,56].…”

Section: Introductionmentioning

confidence: 99%

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

et al. 2016

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Abstract:The black soil region of Northeast China has suffered from severe soil erosion by water. Hillslope and gully erosion are the main erosion types. The objective of this research was to integrate the assessment of hillslope and gully erosion and explore spatial coupling relations between them in the Mushi River sub-catchment using geographical conditions monitoring (GCM) including remote sensing (RS) and geographic information system (GIS) techniques. The revised universal soil loss equation (RUSLE) model and visual satellite image interpretation were used to evaluate hillslope and gully erosion, respectively. The results showed that (1) the study area as a whole had slight erosion due to rill and sheet erosion, but suffered more serious gully erosion, which mainly occurs in cultivated land; (2) GCM contributed to the overall improvement of soil erosion assessment, but the RUSLE model likely overestimates the erosion rate in dry land; (3) the hillslope and gully erosion were stronger on sunny slopes than on shady slopes, and mainly occurred at middle elevations. When the slope was greater than 15 degrees, the slope was not the main factor restricting the erosion, while at steeper slopes, the dominant forest land significantly reduced the soil loss; (4) trends of gully erosion intensity and density were not consistent with the change in soil erosion intensity. To our knowledge, this study was one of the first that attempted to integrate gully erosion and hillslope erosion on a watershed scale. The findings of this study promote a better understanding of the spatial coupling relationships between hillslope and gully erosion and similarly indicate that GCM, RS, and GIS can be used efficiently in the hilly black soil region of Northeast China to assess hillslope and gully erosion.

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Accuracy of methods for field assessment of rill and ephemeral gully erosion

Cited by 148 publications

References 12 publications

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

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

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China

Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China

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