Erosion characteristics of loess tunnels on the Loess Plateau: A field investigation and experimental study

2020 ◽  
Vol 45 (9) ◽  
pp. 1945-1958 ◽  
Author(s):  
Xi‐An Li ◽  
Li Wang ◽  
Bo Hong ◽  
Lin‐Cui Li ◽  
Jia Liu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Loess Plateau ◽  
Field Investigation ◽  
The Loess Plateau

scholarly journals OBIA-Based Extraction of Artificial Terrace Damages in the Loess Plateau of China from UAV Photogrammetry

2021 ◽  
Vol 10 (12) ◽  
pp. 805
Author(s):  
Xuan Fang ◽  
Jincheng Li ◽  
Ying Zhu ◽  
Jianjun Cao ◽  
Jiaming Na ◽  
...  
Keyword(s):  
High Resolution ◽  
Loess Plateau ◽  
Water Conservation ◽  
Ground Truth ◽  
Field Investigation ◽  
The Loess Plateau ◽  
Flow Process ◽  
Local Flow ◽  
Object Based ◽  
Damage Mapping

Terraces, which are typical artificial landforms found around world, are of great importance for agricultural production and soil and water conservation. However, due to the lack of maintenance, terrace damages often occur and affect the local flow process, which will influence soil erosion. Automatic high-accuracy mapping of terrace damages is the basis of monitoring and related studies. Researchers have achieved artificial terrace damage mapping mainly via manual field investigation, but an automatic method is still lacking. In this study, given the success of high-resolution unmanned aerial vehicle (UAV) photogrammetry and object-based image analysis (OBIA) for image processing tasks, an integrated framework based on OBIA and UAV photogrammetry is proposed for terrace damage mapping. The Pujiawa terrace in the Loess Plateau of China was selected as the study area. Firstly, the segmentation process was optimised by considering the spectral features and the terrains and corresponding textures obtained from high-resolution images and digital surface models. The feature selection was implemented via correlation analysis, and the optimised segmentation parameter was achieved using the estimation of scale parameter algorithm. Then, a supervised k-nearest neighbourhood classifier was used to identify the terrace damages in the segmented objects, and additional geometric features at the object level were considered for classification. The comparison with the ground truth, as delineated by the image and field survey, showed that proposed classification can be adequately performed. The F-measures of extraction on three terrace damages were 92.07% (terrace sinkhole), 81.95% (ridge sinkhole), and 85.17% (collapse), and the Kappa coefficient was 85.34%. Finally, the potential application and spatial distribution of the terrace damages in this study were determined. We believe that this work can provide a credible framework for mapping terrace damages in the Loess Plateau of China.

Experimental study of the imbalance of water budget over the Loess Plateau of China

2011 ◽  
Vol 25 (6) ◽  
pp. 765-773 ◽  
Author(s):  
Qiang Zhang ◽  
Sheng Wang ◽  
Xiaomei Wen ◽  
Hongyu Li
Keyword(s):  
Experimental Study ◽  
Loess Plateau ◽  
Water Budget ◽  
The Loess Plateau

Experimental study on the disintegration of loess in the Loess Plateau of China

2018 ◽  
Vol 78 (7) ◽  
pp. 4907-4918 ◽  
Author(s):  
Xi-An Li ◽  
Li Wang ◽  
Yong-li Yan ◽  
Bo Hong ◽  
Lin-Cui Li
Keyword(s):  
Experimental Study ◽  
Loess Plateau ◽  
The Loess Plateau

Experimental study of the shear strength of soil from the Heifangtai Platform of the Loess Plateau of China

2019 ◽  
Vol 19 (10) ◽  
pp. 3463-3475 ◽  
Author(s):  
Tianfeng Gu ◽  
Jiading Wang ◽  
Chenxing Wang ◽  
Yinqiang Bi ◽  
Qianyi Guo ◽  
...  
Keyword(s):  
Experimental Study ◽  
Shear Strength ◽  
Loess Plateau ◽  
The Loess Plateau
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