Slope and rainfall effects on the volume of sediment yield by gully erosion in the Souar lithologic formation (Tunisia)

Bouchnak, Hajer; Felfoul, Mennoubi Sfar; Boussema, Mohamed Rached; Snane, Mohamed Habib

doi:10.1016/j.catena.2009.04.003

Cited by 71 publications

(31 citation statements)

References 23 publications

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“…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]. Airborne LiDAR [20][21][22] and terrestrial laser scanner (TLS) [23][24][25] derive high resolution and precision data products for precise modeling of land surface.…”

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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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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“…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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“…NAIP, and its similar forebearer, 1:40,000 (84 cm GSD 1 ) National Aerial Photography Program (NAPP) imagery represents the only public-domain statewide image source for Wyoming available for the last 30 years. Higher resolution aerial photography, on the order of 1:24,000 scale (50 cm GSD 1 ), is available for most of Wyoming in the 1970s and early 1980s and could potentially show sufficient detail for headcut modeling, according to successful monitoring efforts using similar-scale aerial photography by Rieke-Zapp and Nichols (2011;1:30,000 [63 cm GSD 1 ]), Vandekerckhove et al (2003;1:18,000-1:32,000 [38-67 cm GSD 1 ]), (Bouchnak et al 2009;1:25000 [30 cm GSD]), and Campo-Bescos et al (2013;1:13,500-1:20,000 [28-42 cm GSD 1 ]). However, these studies appear to have monitored large headcuts ([5 m) and such imagery would likely be less valuable for monitoring the much smaller headcuts in the Sweetwater subbasin, a finding underscored by the lack of observed headcut monitoring utility from 30-cm GSD imagery in this study (ESRI 2014).…”

Section: Headcut Monitoringmentioning

confidence: 99%

Headcut Erosion in Wyoming’s Sweetwater Subbasin

Cox

Booth

Likins

2015

Environmental Management

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Increasing human population and intensive land use combined with a warming climate and chronically diminished snowpacks are putting more strain on water resources in the western United States. Properly functioning riparian systems slow runoff and store water, thus regulating extreme flows; however, riparian areas across the west are in a degraded condition with a majority of riparian systems not in proper functioning condition, and with widespread catastrophic erosion of water-storing peat and organic soils. Headcuts are the leading edge of catastrophic channel erosion. We used aerial imagery (1.4-3.3-cm pixel) to locate 163 headcuts in riparian areas in the Sweetwater subbasin of central Wyoming. We found 1-m-the generally available standard resolution for land management-and 30-cm pixel imagery to be inadequate for headcut identification. We also used Structure-from-Motion models built from ground-acquired imagery to model 18 headcuts from which we measured soil loss of 425-720 m3. Normalized by channel length, this represents a loss of 1.1-1.8 m3 m(-1) channel. Monitoring headcuts, either from ground or aerial imagery, provides an objective indicator of sustainable riparian land management and identifies priority disturbance-mitigation areas. Image-based headcut monitoring must use data on the order of 3.3 cm ground sample distance, or greater resolution, to effectively capture the information needed for accurate assessments of riparian conditions.

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Slope and rainfall effects on the volume of sediment yield by gully erosion in the Souar lithologic formation (Tunisia)

Cited by 71 publications

References 23 publications

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

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

Headcut Erosion in Wyoming’s Sweetwater Subbasin

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