Volume estimation and evaluation of rotational landslides using multi-temporal aerial photographs in Çağlayan dam reservoir area, Turkey

Koca, Tümay Kadakci; Koca, Mehmet Yalçın

doi:10.1007/s12517-019-4290-7

Cited by 7 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first is the automatic drawing method of landslide evolution map based on deep learning. Some scholars build a remote sensing system for landslide image processing evolution analysis by using various remote sensing data types related to ground deformation monitoring, optical data, landslide assessment, forest fire post-burn area assessment, critical infrastructure monitoring [14,15], space-borne interferometric synthetic aperture radar inversion technology [16,17], etc. The remote sensing system for image processing and evolution analysis of landslides can provide accurate and high-resolution terrain information of the landslide area, including measuring the surface deformation of the landslide area with millimeter-level precision and information about the temporal and spatial distribution of landslides.…”

Section: Landslide Visualizationmentioning

confidence: 99%

Reconstruction and Visualization of Landslide Events Based on Pre- and Post-Disaster Remote Sensing Data

Luo

Yang

Huang

et al. 2023

Water

View full text Add to dashboard Cite

This paper proposes a method to reconstruct and visualize landslide events based on pre- and post-disaster remote sensing data. The proposed method establishes the dynamic equations of the landslide evolution process and calibrates the model parameters based on pre- and post-disaster remote sensing data. Based on the calibrated dynamic equations, we reconstruct and simulate the historical landslide process and visualize the landslide evolution. The experimental results show that our method could dynamically and realistically reconstruct and visualize the landslide evolution process. Moreover, the landslide process simulation can also detect the maximum depth, maximum sliding speed, maximum momentum, and other indicators during the evolution process, and the visualization results can be used for subsequent hazard assessment, engineering implementation, and other applications.

show abstract

Section: Landslide Visualizationmentioning

confidence: 99%

Reconstruction and Visualization of Landslide Events Based on Pre- and Post-Disaster Remote Sensing Data

Luo

Yang

Huang

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

“…[5], [6], [7], [8], [9], [10], [11] The objectives of the study were to carry out geoelectric investigations around the location of the well drilling and construction plan for the Darut Taqwa NGO. Geoelectrical surveys and subsurface cross-sectional images were obtained based on the electrical resistivity properties of soil and rocks.…”

Section: Introductionmentioning

confidence: 99%

Groundwater potential identification using electrical resistivity tomography method in Sendangrejo Village, Minggir District, Sleman Regency, Special Region of Yogyakarta

Agung Cahyadi,

Agung Riyadi,

Jiwo Saputro

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Groundwater is vital element for living. One of methods to identify groundwater potential is Electricity Resistivity Tomography (ERT). This study aims to identify the groundwater potential occurrence in Sleman, Yogyakarta through non-destructive geoelectrical surveys. Based on the ERT models and geological information, supported by hydrogeological data in the research area, drilling a well at the planned location was deemed necessary to reach a depth of at least 100 to 250 meters in order to tap into the maximum groundwater potential. Groundwater is predicted to flow and accumulate in the pores and fractures of rocks. Well drilling in the northern part of section line 1 was more favourable and recommended due to the lower elevation compared to the area of section line 2, where the drill location was originally planned at a higher elevation uphill. Layers of hard rock, presumably lava and breccia, have already been found at a depth of 5 to 15 meters based on historical open well excavations around the area. Identifying the characteristics of subsurface volcanic rocks during drilling is suggested to evaluate drilling and well planning. Well logging should be conducted to collect lithostratigraphy and rock mass information. Further tests of hydraulic conductivity for each potential layer.

show abstract

“…The Groapa Vântului landslide, located in the Buzău Carpathians, on the right-hand slope of the Siriu Reservoir, occurred in April 2006, which blocked the Reservoir for several weeks and caused a major change in the sedimentation regime downstream (Micu and Bălteanu, 2013). According to the statistical data, since 1980s, the overall losses reach to 1046 billion dollars worldwide for hydrological events, especially the reservoir landslides (Bovenga et al, 2017;Koca and Koca, 2019;Thiery et al, 2020;Alonso et al, 2021;Niacsu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Reservoir landslide monitoring and mechanism analysis based on UAV photogrammetry and sub-pixel offset tracking: a case study of Wulipo landslide

Li,

Jiang,

Shi

et al. 2024

Front. Earth Sci.

View full text Add to dashboard Cite

Introduction: Reservoir landslides undergo large deformations during the early stages of impoundment and maintain long-term persistent deformations during the operational period of the reservoir. The management of reservoir landslides mostly focuses on the early identification, risk assessment during the large deformations, and long-sequence monitoring during long-term persistent deformations, which requires sufficient continuity and integrity of the landslide monitoring data.Methods: Taking the Wulipo (WLP) landslide in Baihetan Reservoir as example, this paper proposes a reservoir landslide monitoring method that integrates field survey, unmanned aerial vehicle (UAV) photogrammetry and global navigation satellite system (GNSS) monitoring, which can effectively eliminate the practical monitoring gaps between multiple monitoring methods and improve the continuity and completeness of monitoring data.Results and discussion: First, this study determined the initiation time of the landslide through the field investigation and collected five period of UAV data to analyze the overall displacement vector of the WLP landslide using sub-pixel offset tracking (SPOT). On the basis of the above data, we compensated for the missing data in GNSS system due to the practical monitoring vacancies by combining the field survey and the landslide-water level relationship. Based on these monitoring data, this paper points out that the WLP landslide is a buoyancy-driven landslide, and whether or not accelerated deformation will occur is related to the maximum reservoir water level. Finally, this study analyzed and discussed the applicability of UAV photogrammetry for reservoir landslide monitoring in the absence of ground control points (GCPs), and concluded that this method can be quickly and flexibly applied to the stage of large deformation of reservoir landslides.

show abstract

Volume estimation and evaluation of rotational landslides using multi-temporal aerial photographs in Çağlayan dam reservoir area, Turkey

Cited by 7 publications

References 35 publications

Reconstruction and Visualization of Landslide Events Based on Pre- and Post-Disaster Remote Sensing Data

Reconstruction and Visualization of Landslide Events Based on Pre- and Post-Disaster Remote Sensing Data

Groundwater potential identification using electrical resistivity tomography method in Sendangrejo Village, Minggir District, Sleman Regency, Special Region of Yogyakarta

Reservoir landslide monitoring and mechanism analysis based on UAV photogrammetry and sub-pixel offset tracking: a case study of Wulipo landslide

Contact Info

Product

Resources

About