Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau

Liu, Kai; Ding, Hu; Tang, Guoan; Na, Jiaming; Huang, Xiaoli; Xue, Zhengguang; Yang, Xin; Li, Fayuan

doi:10.3390/ijgi5120238

Cited by 52 publications

(39 citation statements)

References 85 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance of pixel‐based methods is significantly affected by the quality of imagery, which contain many disturbed objects, such as vegetation and shadows. Object‐based image analysis (OBIA) improves accuracy in gully identification and gully‐affected area extraction (d'Oleire‐Oltmanns et al, ; Knight Spencer, Brooks, & Phinn, ; Liu et al, ; Shruthi, Kerle, & Jetten, , ; Shruthi, Kerle, Jetten, Abdellah, & Machmach, ; Pretorius et al, ; Taruvinga, ). A large amount of preprocessing, however, is necessary in the OBIA method.…”

Section: Introductionmentioning

confidence: 99%

Gully boundary extraction based on multidirectional hill‐shading from high‐resolution DEMs

Yang

Li²,

et al. 2017

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

The gully boundary, which distinguishes gully from non-gully areas, is a significant geomorphologic feature for research on gully development and gully erosion. This study presents a new method based on multidirectional hill-shading maps, which identify the gully (i.e., shadow area) from inter-gully (i.e., non-shadow area). These shadows obtained from various illumination azimuths are merged; consequently, the border of the shadows, which is the gully boundary line, can be achieved. In this process, two key parameters, namely, altitude and azimuth of light, affect the accuracy of gully boundary extraction. The experiments in Yaojiawan area of China show that the method of average median slope of all sampling profiles across the gully boundary is effective and practical for light altitude selection. Moreover, the six azimuths are sufficient for gully boundary extraction in a loess hilly area. The application in the Madigou area indicates the replicability and rationality of this method. A comparison with the positive-negative terrain and slope variation method confirms a higher accuracy of gully boundary extraction by the proposed method in terms of visual interpretation, length, and contour-matching difference with reference to manually digitalized results. Accuracy assessment indicates that the proposed method is applicable for gully boundary extraction based on highresolution DEMs. K E Y W O R D S gully boundary, high-resolution DEMs, loess hilly area, multidirectional hill-shading

show abstract

Section: Introductionmentioning

confidence: 99%

Gully boundary extraction based on multidirectional hill‐shading from high‐resolution DEMs

Yang

Li²,

et al. 2017

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Digital land surface analysis has been used to extract the basic terrain derivatives (e.g., slope and aspect) [15,16] and to study complicated applications (e.g., paleo-topographic reconstruction and landform classification) [17][18][19][20][21] of the Loess Plateau. The terrain points [22][23][24], lines [25][26][27], and surfaces [28][29][30] studies mainly focused on research with the view of developing and evaluating technologies and methods, and there is a lack of research and discussion on the role of terrain data in the study of the topography and geomorphology of the Loess Plateau. Tang et al [1] established the theory of the slope topo-sequence, which they successfully applied to study the Loess landform.…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…After an analytical aerotriangulation process, the DEMs were generated with vertical accuracies of 2 m and horizontal accuracies of 1 cm. Through the above process, the 1 m resolution DEM data was finally obtained (Liu, Ding, et al, ). Considering the data integrity, we chose the sub‐basins of each catchment as the test areas.…”

Section: Methodsmentioning

confidence: 99%

Application of the Hilbert–Huang transform for recognition of active gully erosion sites in the Loess Plateau of China

Xue

et al. 2019

Transactions in GIS

Self Cite

View full text Add to dashboard Cite

The loess shoulder-lines are known to be the most critical topographic structural lines in the loess landform area of the Loess Plateau, China. Previous studies have shown that gully erosion activity can be reflected in the dynamic changes of the shoulder-lines. In this study, active gully erosion sites along the shoulder-lines are investigated. Three typical test areas with different loess landforms are selected, and the loess shoulder-lines are derived from 1 m resolution digital elevation models. First, height profiles of the loess shoulder-lines are extracted. Then, from the perspective of frequency domains, active gully erosion sites are identified using the Hilbert-Huang transform (HHT). The experimental results show that the HHT method can effectively mine the intrinsic characteristics of the shoulder-lines. The detailed information components (non-components) and trend components of the height profiles can be obtained via ensemble empirical mode decomposition and a significance test. In addition, the HHT method was employed to identify the instantaneous frequency curve catastrophe points of the loess shoulder-line height profiles, and the physical meaning is clear: a higher frequency denotes greater energy and more severe erosive processes, and the catastrophe point locations represent the

show abstract

Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau

Cited by 52 publications

References 85 publications

Gully boundary extraction based on multidirectional hill‐shading from high‐resolution DEMs

Gully boundary extraction based on multidirectional hill‐shading from high‐resolution DEMs

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

Application of the Hilbert–Huang transform for recognition of active gully erosion sites in the Loess Plateau of China

Contact Info

Product

Resources

About