The Comparison of Slope Angle Algorithms for Soil Erosion Based on Grid Digital Elevation Model

2012 ◽  
pp. 61-66
Author(s):  
Zhang Zhaolu
Keyword(s):  
Soil Erosion ◽  
Digital Elevation Model ◽  
Slope Angle ◽  
Digital Elevation ◽  
Elevation Model

Using GIS and a digital elevation model to assess the effectiveness of variable grade flow diversion terraces in reducing soil erosion in northwestern New Brunswick, Canada

2009 ◽  
Vol 23 (23) ◽  
pp. 3271-3280 ◽  
Author(s):  
Qi Yang ◽  
Zhengyong Zhao ◽  
Thien Lien Chow ◽  
Herb W. Rees ◽  
Charles P.-A. Bourque ◽  
...  
Keyword(s):  
Soil Erosion ◽  
New Brunswick ◽  
Digital Elevation Model ◽  
Flow Diversion ◽  
Digital Elevation ◽  
Elevation Model

Spatial and Temporal Variation of Soil Erosion in Guangxi in Recent 20 Years

2013 ◽  
Vol 421 ◽  
pp. 787-791
Author(s):  
Yan Li Chen ◽  
Shi Quan Zhong ◽  
Jian Fei Mo ◽  
Yong Ming Luo
Keyword(s):  
Spatial Distribution ◽  
Soil Erosion ◽  
Temporal Variation ◽  
Digital Elevation Model ◽  
Spatial And Temporal Variation ◽  
Upward Trend ◽  
The Past ◽  
Digital Elevation ◽  
Elevation Model ◽  
Light Medium

TM/ETM data as the base information combined with a digital elevation model are used to analyze the spatial distribution and temporal variation of soil erosion in Guangxi. The results shows that light, medium and strong are the main three levels of soil erosion in Guangxi. The proportions of light and medium soil erosion are higher which are 6.18% and 4.76% respectively. The total area of soil erosion and its degrees exhibit an upward trend since the 1980s. The area of soil erosion in Guangxi increases 4% in the past 20 years. The five levels of soil erosion performance an upward trend mostly. Medium soil erosion is of the biggest change with an increase of 1.29% while acute soil erosion exhibits a smallest change with an increase of 0.49%.

scholarly journals A New Approach for Identification of Potential Rockfall Source Areas Controlled by Rock Mass Strength at a Regional Scale

2021 ◽  
Vol 13 (5) ◽  
pp. 938
Author(s):  
Xueliang Wang ◽  
Haiyang Liu ◽  
Juanjuan Sun
Keyword(s):  
Rock Mass ◽  
Digital Elevation Model ◽  
Regional Scale ◽  
Slope Angle ◽  
New Approach ◽  
Rock Mass Strength ◽  
Source Areas ◽  
Space Partition ◽  
Digital Elevation ◽  
Elevation Model

The identification of rockfall source areas is a fundamental work for rockfall disaster prevention and mitigation. Based on the Culmann model, a pair of important indicators to estimate the state of slope stability is the relief and slope angles. Considering the limit of field survey and the increasing requirements for identification over a large area, a new approach using the relief–slope angle relationship to identify rockfall source areas controlled by rock mass strength at a regional scale is proposed in this paper. Using data from helicopter-based remote sensing imagery, a digital elevation model of 10 m resolution, and field work, historical rockfalls in the Wolong study area of Tibet where frequent rockfalls occur are identified. A clear inverse relationship between the relief and slope angles of historical rockfalls enables us to calculate the rock mass strength of the landscape scale by the Culmann model and the relief–slope angle relationship curve. Other parameters used in our proposed approach are calculated by ArcGIS and statistic tools. By applying our approach, the potential rockfall source areas in the study are identified and further zoned into three susceptibility classes that could be used as a reference for a regional rockfall susceptibility study. Using the space partition of historical rockfall inventory, our prediction result is validated. Most of the rockfall source areas (i.e., 71.92%) identified in the validation area are occupied by historical rockfalls, which proves the good prediction of our approach. The dominant uncertainty in this paper is derived from the process of calculating rock mass strength, defining the specific area for searching potential rockfall source areas, and the resolution of the digital elevation model.

STUDY OF THE LANDSLIDE MORPHOLOGY BASED ON GNSS DATA AND AIRBORNE SOUNDING (ON THE EXAMPLE OF A SECTION OF THE PROTVA RIVER VALLEY)

2018 ◽  
Vol 12 (5-6) ◽  
pp. 50-57 ◽  
Author(s):  
I. S. Voskresensky ◽  
A. A. Suchilin ◽  
L. A. Ushakova ◽  
V. M. Shaforostov ◽  
A. L. Entin ◽  
...  
Keyword(s):  
Digital Elevation Model ◽  
Geodetic Network ◽  
Aerial Survey ◽  
River Valley ◽  
Ease Of Use ◽  
Digital Elevation ◽  
Loose Deposits ◽  
Positioning Method ◽  
Landslide Body ◽  
Elevation Model

To use unmanned aerial vehicles (UAVs) for obtaining digital elevation models (DEM) and digital terrain models (DTM) is currently actively practiced in scientific and practical purposes. This technology has many advantages: efficiency, ease of use, and the possibility of application on relatively small area. This allows us to perform qualitative and quantitative studies of the progress of dangerous relief-forming processes and to assess their consequences quickly. In this paper, we describe the process of obtaining a digital elevation model (DEM) of the relief of the slope located on the bank of the Protva River (Satino training site of the Faculty of Geography, Lomonosov Moscow State University). To obtain the digital elevation model, we created a temporary geodetic network. The coordinates of the points were measured by the satellite positioning method using a highprecision mobile complex. The aerial survey was carried out using an unmanned aerial vehicle from a low altitude (about 40–45 m). The processing of survey materials was performed via automatic photogrammetry (Structure-from-Motion method), and the digital elevation model of the landslide surface on the Protva River valley section was created. Remote sensing was supplemented by studying archival materials of aerial photography, as well as field survey conducted immediately after the landslide. The total amount of research results made it possible to establish the causes and character of the landslide process on the study site. According to the geomorphological conditions of formation, the landslide refers to a variety of landslideslides, which are formed when water is saturated with loose deposits. The landslide body was formed with the "collapse" of the blocks of turf and deluvial loams and their "destruction" as they shifted and accumulated at the foot of the slope.

Ranked algorithm to fill sinks in digital elevation model based on quicksort

2009 ◽  
Vol 29 (11) ◽  
pp. 3161-3164
Author(s):  
Bang YANG ◽  
Li-liang REN ◽  
Ying-qing HE
Keyword(s):  
Digital Elevation Model ◽  
Model Based ◽  
Digital Elevation ◽  
Elevation Model
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