Population Characteristics of Loess Gully System in the Loess Plateau of China

Na, Jiaming; Yang, Xin; Tang, Guoan; Dang, Weiqin; Strobl, Josef

doi:10.3390/rs12162639

Cited by 19 publications

(12 citation statements)

References 40 publications

(54 reference statements)

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“…The gully system in this study consists of hillslope ephemeral, bank and valley gully (Figure 3), which are the most dynamic, widely distributed and changeable loess gullies in the Loess Plateau. In morphology, hillslope ephemeral gullies are generally 20-50 cm deep and 30-50 cm wide and are smaller than the bank gully, which are mainly distributed in the area above the shoulder line [40]. Ephemeral gully is too small to be extracted by DEM with 5 m resolution, but it exhibits clear linear features in high-resolution images [45].…”

Section: Gully System Extraction and Classificationmentioning

confidence: 99%

“…Thus, high-resolution remote sensing images are applied to recognize and extract ephemeral gully by the combination of our previous method and visual interpretation and manual digitizing [45]. Bank and valley gullies are mainly extracted by our proposed method [41] In morphology, hillslope ephemeral gullies are generally 20-50 cm deep and 30-50 cm wide and are smaller than the bank gully, which are mainly distributed in the area above the shoulder line [40]. Ephemeral gully is too small to be extracted by DEM with 5 m resolution, but it exhibits clear linear features in high-resolution images [45].…”

Section: Gully System Extraction and Classificationmentioning

confidence: 99%

“…Different types of gullies, including rill, ephemeral, bank and valley gully, constitute an organized gully system. By referring to the concept of biological population in ecology and regarding each gully as an object, we believe that the loess gully system with different types of gullies could be regarded as the loess gully population and have proposed the population characteristics of the gully system [40]. This provides a new research idea and the foundation for studying the population characteristics of the loess gully.…”

Section: Introductionmentioning

confidence: 99%

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An Exploration of Loess Landform Development Based on Population Ecology Method

Yang

2022

IJGI

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The study of gully characteristics is one of the most effective ways to explore the loess landform development in the Loess Plateau of China. However, current studies mostly focus on gullies’ overall characteristics and ignore the different composition of the whole gully system. Therefore, a new perspective is provided in this paper for exploring loess landform development from the population characteristics of the gully system. Firstly, different types of gullies were extracted based on DEM and high-resolution images in three sample watersheds, including hillslope ephemeral gully, bank gully and different-level valley gully. Secondly, population characteristics from the amount, length, age structure and convergent relationship were calculated and analyzed by referring to the biological population in ecology. Finally, the development stages of loess landform in three watersheds were explored based on their population characteristics. The results showed that: (1) The population characteristics, including number density, length density, age structure and convergence, were obviously different in three sample watersheds. (2) The development differences of three watersheds were obtained by synthesizing all population characteristics: Linjiajian was the most developed and oldest watershed, followed by Yangjiaju and then Wangjiagou. (3) The comparison based on the existing soil erosion intensity map and predisposing factors proved that the findings of this paper were more reasonable than that of the traditional hypsometric integral. This research provides a new quantitative-based approach to explore the development degree of loess landform from the gully population, and is a beneficial attempt to combine geomorphology and ecology, further supplementing and improving the study of loess landform development.

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Section: Gully System Extraction and Classificationmentioning

confidence: 99%

Section: Gully System Extraction and Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Exploration of Loess Landform Development Based on Population Ecology Method

Yang

2022

IJGI

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“…Gully erosion events significantly influence the formation of landforms (Wu & Cheng, 2005) and lead to severe land degradation (Na, Yang, Tang, Dang, & Strobl, 2020). Soil loss caused by intense gully erosion not only damages local ecology and crop productivity (Dale & Carter, 1956) but also feeds a mass of sediment to surrounding rivers and poses a threat to downstream areas (Chen et al, 2007).…”

Section: Gully Erosion and Check Damsmentioning

confidence: 99%

Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

Xiong

et al. 2021

Land Degrad Dev

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Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. The similar basic signatures of check dam areas and their surroundings can blur the boundaries of these structures in images and negatively affect boundary identification, thereby limiting the effectiveness of traditional check dam area extraction techniques based on the pixel level or visual inspection. To facilitate the extraction of check dams, we propose a method that integrates deep learning and object‐based image analysis. We select the Loess Plateau, on which several effective check dam systems have been constructed in recent years to address intense soil loss, as the study area on which to perform high‐resolution imagery experiments to determine the influences of different sample combinations. The parameters influencing the segmentation algorithm are also examined to determine the best parameter combination for the extraction of check dams. Four test areas comprising 12 check dams across different environments were selected with which to test the accuracy of the proposed method. In addition, we compared the check dam extraction capabilities of our proposed method with those of the random forest and deep learning approaches. The results show that the proposed method can achieve a classification accuracy and kappa coefficient that signify good performance in detecting the boundaries and areas of check dams. The proposed method generally outperforms the random forest and deep learning techniques. The extraction results can support the efficient soil management and guide future studies on gully erosion.

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“…Yushen Coalfield is located in the transition zone between the Loess Plateau and the Mu Us Sandy Land with rugged topography, and a gullied surface [9], under gullies topography, mining-induced surface cracks is a severe threat to the local fragile ecological environment [10][11][12][13]. Researchers have studied the influence of valley topography on mining-induced surface cracks using numerical simulation [14][15][16][17],…”

Section: Introductionmentioning

confidence: 99%

The Development Law of Mining-Induced Surface Cracks in Shallow Coal Seam Through Double Gullies Terrain: A Case Study in a Mine

Sun

Hou

et al. 2021

Preprint

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Mining-induced surface cracks in gullies in shallow seams seriously threaten the development of ecological stability and the safety of mine production. The development law of surface cracks in shallow coal seam mining through double gullies terrain was studied, by taking the Cao Jiatan coal mine in the Yushen Mining Area as a project example. The function T and its discriminant were first put forward to describe the relative position both the surface cracks and working face advanced in shallow coal seam mining through double gullies terrain. The relationship between valley parameters of double gullies terrain and the relative position of surface cracks development was discussed through numerical simulation experiment, similar material simulation experiment and theoretical analysis. The results showed that when the working face passed through the G1 gully, the development of surface cracks led the working face. There were four surface cracks with a maximum width of 23 cm, and the maximum vertical displacement was 11 cm; while passing through the G2 gully, the development of surface cracks lagged the working face. There were seven surface cracks with a maximum width of 79 cm, and the maximum vertical displacement was 45 cm. It can be concluded that the relative position of crack development is greatly affected by geological conditions, gully depth, slope angle, span and other factors of the gully, among of which the gully slope angle is the main influencing factor. T and |T| value has a certain correlation with the lagging distance, crack width, vertical displacement and the total number of cracks in a single gully.

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Population Characteristics of Loess Gully System in the Loess Plateau of China

Cited by 19 publications

References 40 publications

An Exploration of Loess Landform Development Based on Population Ecology Method

An Exploration of Loess Landform Development Based on Population Ecology Method

Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

The Development Law of Mining-Induced Surface Cracks in Shallow Coal Seam Through Double Gullies Terrain: A Case Study in a Mine

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