Monitoring of gully erosion on the Loess Plateau of China using a global positioning system

Wu, Yue; Cheng, Hong

doi:10.1016/j.catena.2005.06.002

Cited by 154 publications

(88 citation statements)

References 23 publications

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“…Soil loss caused by water erosion including hillslope erosion and gully erosion in this region is mainly derived from farmlands in sloping areas [8]. Previous studies on soil erosion in the black soil region were carried out from different perspectives [9][10][11][12][13][14][15]. The conclusions confirmed that hillslope and gully erosion closely interact with each other both in space and time.…”

Section: Introductionmentioning

confidence: 81%

“…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%

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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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Section: Introductionmentioning

confidence: 81%

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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“…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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“…Many previous studies about the Loess Plateau have been carried out to solve scientific problems regarding its formation process [3,4], landform shape [5][6][7], gully development [8][9][10], soil erosion [11,12], environmental evolution [13,14] etc., and many outstanding research results have been achieved. In recent years, the development of Digital Elevation Model (DEM) applications and Geographic Information System (GIS) spatial analysis techniques has greatly promoted the study of the land surface analysis of the Loess Plateau.…”

Section: Introductionmentioning

confidence: 99%

Topographic Spatial Variation Analysis of Loess Shoulder Lines in the Loess Plateau of China Based on MF-DFA

Cao

et al. 2017

IJGI

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Abstract:The Loess Plateau in China is internationally known for its unique geographical features and has therefore been studied by many researchers. This research exploits the regional differences in the spatial morphological characteristics of Loess shoulder lines in different landform types as an important basis for geomorphological regionalization. In this study, we used ensemble empirical mode decomposition (EEMD), multi-fractal detrended fluctuation analysis (MF-DFA), and detrended cross-correlation analysis (DCCA) to analyze topographic data series extracted from shoulder lines. Loess shoulder-line land variations series data from the Suide, Ganquan, and Chunhua areas on the Loess Plateau were selected and a combination of the two above-mentioned methods was used to study land variations at these three sample sites. The results revealed differences in the topographic variations of the multi-fractal characteristics and the topographic spatial variation in the Loess shoulder line of the three sample sites. Furthermore, the extent to which the results were affected by noise and the analysis scale differed among the three areas.

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Monitoring of gully erosion on the Loess Plateau of China using a global positioning system

Cited by 154 publications

References 23 publications

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

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

Topographic Spatial Variation Analysis of Loess Shoulder Lines in the Loess Plateau of China Based on MF-DFA

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