Assessment of bank gully development and vegetation coverage on the Chinese Loess Plateau

Li, Zhen; Zhang, Yan; Zhu, Qing; Yang, He; Yao, Wenjun

doi:10.1016/j.geomorph.2014.10.005

Cited by 95 publications

(63 citation statements)

References 40 publications

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“…scale [53][54][55], the use of UAV is currently limited. The present study aims to: (1) apply the UAV on the Chinese Loess Plateau to generate the high-resolution DEMs and ortho-mosaics; and (2) investigate the object-based method for detection of gully-affected areas by using UAV-acquired dataset.…”

Section: Introductionmentioning

confidence: 99%

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

Liu

Ding

Tang

et al. 2016

IJGI

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Abstract:The Chinese Loess Plateau suffers from serious gully erosion induced by natural and human causes. Gully-affected areas detection is the basic work in this region for gully erosion assessment and monitoring. For the first time, an unmanned aerial vehicle (UAV) was applied to extract gully features in this region. Two typical catchments in Changwu and Ansai were selected to represent loess tableland and loess hilly regions, respectively. A high-powered quadrocopter (md4-1000) equipped with a non-metric camera was used for image acquisition. InPho and MapMatrix were applied for semi-automatic workflow including aerial triangulation and model generation. Based on the stereo-imaging and the ground control points, the highly detailed digital elevation models (DEMs) and ortho-mosaics were generated. Subsequently, an object-based approach combined with the random forest classifier was designed to detect gully-affected areas. Two experiments were conducted to investigate the influences of segmentation strategy and feature selection. Results showed that vertical and horizontal root-mean-square errors were below 0.5 and 0.2 m, respectively, which were ideal for the Loess Plateau region. The overall extraction accuracy in Changwu and Ansai achieved was 84.62% and 86.46%, respectively, which indicated the potential of the proposed workflow for extracting gully features. This study demonstrated that UAV can bridge the gap between field measurement and satellite-based remote sensing, obtaining a balance in resolution and efficiency for catchment-scale gully erosion research.

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Section: Introductionmentioning

confidence: 99%

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

Liu

Ding

Tang

et al. 2016

IJGI

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“…Gully erosion is a key factor of loess landform development that strongly modifies the original loess surface [3]. During the process of gully development, gully erosion exhibits three modes: headward erosion of the gully head, lateral erosion of the gully slope, and vertical downcutting erosion [4]. These three modes exist simultaneously and act in four dimensions (x, y, z, and time) [5].…”

Section: Introductionmentioning

confidence: 99%

Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA

et al. 2020

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Gullies of different scales and types have developed in the Loess Plateau, China. Differences in the amount of gully erosion influence the development, evolution, morphology, and spatial distribution of these gullies. The strengths of headward erosion on the gully shoulder line are used to dictate soil and water conservation measures. In this study, six typical loess landforms in the Loess Plateau were selected as sampling sites: Shenmu, Suide, Ganquan, Yanchuan, Yijun, and Chunhua, which respectively represent loess-aeolian and dune transition zones, loess hills, loess ridge hills, loess ridges, loess long-ridge fragmented tablelands, and loess tablelands. Using 5 m resolution digital elevation model data from the National Basic Geographic Information Database, a small representative watershed was selected from each sampling site to obtain elevation data on the terrain profiles of gully shoulder lines. Multifractal detrended fluctuation analysis (MF-DFA) was used to conduct statistical and comparative analysis of the elevation fluctuation characteristics of these profiles. The results show that MF-DFA is capable of detecting active gully erosion sites. Sites of active gully erosion are concentrated in Shenmu and Suide but more widely distributed in the other five sites. The results provide a scientific basis for small watershed management planning and the design of soil and water conservation measures.

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“…Vegetation coverage variation is a significant factor in evaluation of regional ecosystem [1]. Vegetation coverage refers to the percentage of vegetation vertical projection area on the ground, which is a comprehensive quantitative index of vegetation coverage [2].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Monitoring of Vegetation Coverage by Remote Sensing in Longnan City of Gansu Province based on VBSI

Zhang¹,

Wang²,

Ji³

2017

Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)

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Abstract. Vegetation coverage is an important index to measure ecological environment. In this paper, the composite vegetation index (VBSI), which can weaken the interference of mountain shadow, soil background, rocks and buildings, was constructed. Combined with mixed pixel decomposition model, the dynamic monitoring of vegetation coverage in Longnan city in 1995 and 2015 was carried out. The results showed that the interference of shading information using VBSI for vegetation coverage estimation can be reduced to 45.77% of NDVI. Dynamic monitoring showed that the vegetation coverage in Longnan city had an increasing trend. The areas of low vegetation coverage decreased slightly whereas the areas of medium and high vegetation coverage increased significantly. High vegetation coverage areas were mainly distributed in Huixian county, Chengxian county, Liangdang county, Wudu district and the vicinity of Bailongjiang river where the project of conversion of degraded farmland into forest has implemented efficiently in Longnan city.

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Assessment of bank gully development and vegetation coverage on the Chinese Loess Plateau

Cited by 95 publications

References 40 publications

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

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

Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA

Dynamic Monitoring of Vegetation Coverage by Remote Sensing in Longnan City of Gansu Province based on VBSI

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