Landslides can cause great damage to buildings, roads, and other infrastructure, as well as disrupt wildlife habitats. The analysis of the susceptibility modeling results shows the high significance of slope, drainage density, geological and land cover parameters. Remote sensing and GIS (geographic information systems) techniques were used to map the landslide susceptibility in Yalova Province and to assess the landslide risk in its counties. The northwestern Fars province of Iran is prone to landslides. The weights-of-evidence model (a Bayesian probability model) was applied to the task of evaluating landslide susceptibility using GIS. The weathered mudstone of low strength and potential high-intensity earthquakes are considered as the crucial factors causing slope instability in the ski-jump complex area. All the generated thematic layers were reclassified in Arc software by assiging the GIS weightage to the each class of the thematic layer from 0 to 9 on the scale in which 9 denotes highest contributor towards the landslide and 0 denotes the least Full PDF Package Download Full PDF Package. A. Xing Zhu, Rongxun Wang, Jianping Qiao, Cheng Zhi Qin, Yongbo Chen, Jing Liu, Fei Du, Yang Lin, Tongxin Zhu. The landslide susceptibility map was reclassified into five classes of varying landslide susceptibility. IRS satellite data, topographic maps, field data, and other informative maps were used as inputs to the study. Important terrain factors, contributing to . The main goal of this study is to produce landslide susceptibility map using GIS-based support vector machine (SVM) at Kalaleh Township area of the Golestan province, Iran. This study aims to conduct a seismic slope instability map of the . Keeping in view the severity of natural hazards, the present study was designed to generate landslide susceptibility map based on twelve causative factors viz., slope, aspect, elevation, drainage network, Stream . The landslide inventory map (LIM) shows the characteristics of the landslides, such as location and area, date of occurrence, type of landslide, and other properties that have occurred in the past (Yalcin et al. In this study, the implications of DEM spatial resolution of the advanced spaceborne thermal emission and reflection (ASTER) data source on landslide susceptibility . It gives a description about . Abstract Landslide susceptibility maps describe the relative likelihood of future landsliding based solely on the intrinsic properties of a locale or site. Catena 2018, 166, 317-327. Landslide susceptibility mapping has been undertaken based on quantitative, semi-quantitative and qualitative methods (which can be further categorised as deterministic, statistic-probabilistic, heuristic, inventory-based, geostatistical and knowledge-based) 22 - 32. Free vector and raster data are being used during the . 1. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and discovering geographic information, using maps and geographic information. Int. A landslide susceptibility map (LSM) was generated using VGF and classified with low, moderate and high landslide susceptibility zones. using the statistical approach of landslide hazard zonation. These criteria are geology, hydrology, terrain slope . Data from six landslide-controlling parameters namely lithology, slope … Expand. Landslide events cause due to complex tectonic and geological setting. According to the relation . Geospatial susceptibility mapping of earthquake-induced landslides in Nuweiba area, Gulf of Aqaba, Egypt. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs,AIRSAR data,WorldView-1 images, and field surveys.. Introduction A landslide is defined as the downslope movement of whole or partial rock and soil caused by gravity ( Malamud et al., 2004 ). PDF | Forestry activities should be carried out within the purview of sustainable forestry while reaping the benefits of forestry. The results of the landslide susceptibility analysis were verified using landslide location data. This video course is structured in a way to get easily familiar with Modelling Landslide Susceptibility. The magnitude (M) 7.0 Haiti earthquake of January 12, 2010, triggered landslides throughout much of Haiti on the island of Hispaniola in the Caribbean Sea. The weight of evidence method is ideal for landslide susceptibility mapping, as it calculates the weights of the causative thematic maps using known landslides points.This method was applied inan area Statistical Index method shows that LSI value less than -3.038251 was classified as low susceptibility zone, values between -3.038251 and. The Logistic Regression (hereafter LR) method was chosen to produce a susceptibility map over an area of 130000ha [Google Scholar] Ayalew, L.; Yamagishi, H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kaku-da-Yahiko Mountains, Central Japan. One of the most widely used approaches to reduce these damages is preparing a landslide susceptibility map (LSM) using suitable methods and selecting the proper conditioning factors. Landslide susceptibility mapping models Landslide susceptibility analysis was implemented using the analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria. In this study, the implications of DEM spatial resolution of the advanced spaceborne thermal emission and reflection (ASTER) data source on landslide susceptibility . However, these maps are accepted as end products that can be used for land use planning. 2- Relationship between predictors of the study area Landslide Susceptibility Mapping Using a Spatial Multi Criteria Evaluation Model at Haraz Watershed, Iran. The current study is aimed at comparing four bivariate models, namely the . Remote Sens., 26 (7) (2005) . Crossref Study area Globally, the destruction by landslides is critical. J. In mathematical form, landslide susceptibility is the probability of the spatial manifestation of a certain slope prone to landslides, under a certain set of engineering geological conditions (Guzzetti et al., 2005). Therefore, landslide susceptibility mapping was carried out in this study to support highway authorities in maintaining smooth and hazard-free travelling. Therefore, the present study aimed toward the landslide susceptibility zonation (LSZ) mapping in and around the Kalimpong region by applying Analytic Hierarchy Process (AHP) method integrated with fifteen causative factors including slope, lineament, drainage density, land use land cover, relative relief, soil texture, lithology, elevation . This will help to reduce and mitigate any hazard associated with future landslide occurrence. the reduction of samples. Geological and geomorphological data were collected and processed using a geographic information system (GIS) environment. 4.2. Catena 2018, 166, 317-327. Landslide Geographic information system 1. There are 16 major landslide areas and 53 villages that are at high risk to hazards. The set of maps typically consisted of a geologic map, a landslide inventory map - showing the location and distribution of existing landslides - and one or two landslide relative susceptibility maps. For landslide susceptibility mapping, the main aim of LR is to find the best-fit model describing the relationship of the presence or absence of landslides using a set of independent parameters (Solaimani et al., 2013). So we chose to use only one model for the susceptibility assessment. A set of three to four maps was prepared for each map study area, usually encompassing a USGS 7.5-minute topographic quadrangle map. The main objective of this study is the use of GIS and Re-mote Sensing t o produce a landslide susceptibility map of the Ljig municipality. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region. Then add the DEM to your ArcGIS Pro project. Accuracy of the landslide susceptibility maps is important for reducing the losses of life and property. Landslide locations . | Find, read and cite all the research you . One of the most essential data sets used in landslide susceptibility mapping is the digital elevation model (DEM). One of the most essential data sets used in landslide susceptibility mapping is the digital elevation model (DEM). "Peat stability" also had to be considered. Ahmad*1, and S. Khezri2 1Department of Remote sensing, Faculty of Geo Information and Real Estate, universiti Teknologi Malaysia, UTM, 81310 Johor Bahru, Johor, Malaysia Using landslide location and a spatial database containing information such as topography, soil, forest, geology, land cover and lineament, the weights-of-evidence model was applied to calculate each relevant factor's rating for the Boun area in Korea, which . Six parameters were analyzed, namely: lithological units, elevation, slope angle, slope aspect, distance from faults and distance from river network. Landslides are the most frequent phenomenon in the northern part of Iran, which cause considerable financial and life damages every year. In this study, two bivariate statistical models: the evidential belief functions (EBF) and the weight of evidence (WoE), were used to produce landslide susceptibility maps for the study area. Large scale landslide susceptibility mapping using GIS-based weighted linear combination and multicriteria decision analysis - a case study in Northern Messinia (SW Peloponnese, Greece). Since susceptibility mapping involves the handling and interpreting of a large amount of data, the use of GIS is very important. international journal of engineering research & technology (ijert) issn: 2278-0181 vol. The relative landslide density for the high and very high landslide susceptibility class was estimated to be 69.45% . Therefore, the landslide susceptibility mapping is essential to frame zones with high landslide susceptibility, to avoid loss of lives and properties. The preparation of a landslide susceptibility map is considered to be the first step for landslide hazard mitigation and risk assessment. Susceptibility is the tendency and predisposition of geological space to generate landslides. In order to help the planners in the selection of suitable locations to implement development projects, a landslide susceptibility map has been produced for the Kakan catchment area using the gamma aggregation operation of the fuzzy approach. INTRODUCTION Landslide is the movement of earth, mass of rock or debris along the slope Gharwal Himalaya is a part of extra peninsula Structural disturbances like folding, faulting, and shearing are very common in this region This area exhibits variety of landslides because of various . National Land Service (Lithuania). Kalantar (2018) explains that independent variables in the LR although a large number of models and methods have been proposed to produce landslide susceptibility maps (lsm) using geographic information systems (gis) [ 13 - 17 ], a consensus has not been established regarding which methods are the most suitable, because qualitative techniques can be limited by unconsidered phenomena or incomplete knowledge … From the insert tab on the menu bar, click on "New Map" to select a new base map. Landslide susceptibility map is one of the crucial information in spatial planning for landslide prone areas. Landslide Susceptibility Mapping using MATLAB & ARCGIS - Landslide Susceptibility Mapping - ArcGISwww.phdresearchlabs.com _ WhatsApp/Call : +91 86107 86880ww. The methodology Applied - The Unique Condition Unit (UCU). Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi . C. Gokceoglu. At the end of the validation and assessment processes, landslide susceptibility maps can be generated to: (1) assess the quality of the generated maps; and (2) check the input dataset for its . Environmental Earth Sciences 2016;75:63. the Darjeeling District. As a result, it is critical to figure out how DEM spatial resolution affects the landslide susceptibility model. Landslide susceptibility mapping is based on the assumption that future landslides will occur under similar circumstances as historic landslides. Susceptibility map provides a document that describes the likelihood or possibility of new landslides occurring in an area, and therefore helping to reduce future potential damages in future. Geological and geomorphological data were collected and processed using a geographic information system (GIS) environment. . Topographic sheets, field data and other informative maps were used as inputs to the study. Geography, Urban, Environment & Sustainability Studies; This study focuses on landslide susceptibility mapping in the Daunia area (Apulian Apennines, Italy) and achieves this by using a multivariate statistical method and data processing in a Geographical Information System (GIS). 2011; Guzzetti et al. It not only affects human production and life, but sometimes even has great influence on human society. There is often a greater risk of landslides following a wildfire due to the sudden loss of vegetation. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and discovering geographic information, using maps and geographic information. Download Download PDF. 1 issue 6, august - 2012 landslide susceptibility mapping using image satellite and gis technology h. shahabi1, b.b. A spatial database of 791 landslides is analyzed using GIS to map landslide susceptibility in Tsugawa area of Agano River. The increasing popularity of GIS has led to many studies, predominantly using indirect susceptibility mapping approaches. This paper applied an adaptive neuro-fuzzy inference system (ANFIS) based on a geographic information system (GIS) environment using landslide-related factors and location for landslide susceptibility mapping. Fig. . The set of criteria investigated using GIS were determined as a result of a landslide literature survey. 2. The susceptibility assessment was based on a summation of assigned susceptibility scores (points) for each 30×30 m unit in a database of a Vector Grid File (VGF) composed of 'vector pixels'. 1. Landslide-related factors such as slope, soil texture, wood type, lithology and density of lineament were extracted from topographic, soil, forest and lineament maps. Quantitative landslide susceptibility maps are obtained for Savsat. | Find, read and cite all the research you . Susceptibility Map The overall estimation of the landslide susceptibility for an area results from the combination of the susceptibility levels of the individual factors. The landslide susceptibility maps were built for the Guoshin region and validated using predicting samples and data from a subsequent storm event, the 2008 Sinlaku typhoon. Some organizations use the term "landslide potential map" for maps of this kind. uses of Geographical Information Systems (GIS) in carrying out landslide susceptibility analyses are numerous in scientific literature (Carrara et al., 1991; Van Westen, 1993b, Van Westen et al., 2003; Sarkar and Kanungo, 2004). Main objective for the successful landslide susceptibility is the identification and detailed analysis of landslide phenomena. This paper presents a landslide susceptibility analysis in Jeju Island, South Korea using AHP (Analytic Hierarchy Process) and ANN (Artificial Neural Network) methods. The current study aims to carryout landslide susceptibility mapping by applying FR and WoE models in order to highlight critically high and very high hazard zones. Alert. Specify "input raster" as results of "Euclidean distance roads." Click "Classify" and set the number of classes to 9. A landslide is a geologic process in which gravity causes rock, soil, debris, or a combination of these to move down a slope. of predictors using Arc GIS (ver.10.0). The epicenter of the quake was located at 18.44°N., 72.57°W. The landslide susceptibility mapping methodology developed for Ireland needed to be: Repeatable - applied to areas other than chosen pilot study areas (National scale) Robust - (e.g. PDF | Forestry activities should be carried out within the purview of sustainable forestry while reaping the benefits of forestry. The landslide susceptibility map can be used to reduce damage associated with landslides and to land cover planning. For landslide susceptibility mapping, this study applied and verified a Bayesian probability model, a likelihood ratio and statistical model, and logistic regression to Janghung, Korea, using a Geographic Information System (GIS). In this regard, satellite images play an important role (Yalcin and Bulut 2007 ). A part of the Darjeeling Himalaya was selected for the model execution. Accordingly, the. Database consists of (i) landslide location dataset for preparing landslide inventory map (ii) datasets of geographic condition (geology, geomorphology, slope, land use/ land cover, etc.) Depending on the landform, several factors can cause or accelerate the Landslide. 8 th Greek Geographical Congress, 4-7 October 2007, Athens. Studies on generating regional landslide susceptibility maps based on the GIS platform are numerous and many of them have proposed suitable models for susceptibility assessment. LANDSLIDE SUSCEPTIBILITY ASSESSMENT Type and search "Reclassify (Spatial Analyst)" from the geoprocessing search bar. A GIS was used to efficiently analyse the vast amount of data, and an artificial neural network to be an effective . used for preparing thematic map. However, it . Assessing landslide potential using GIS, soil wetness modeling and topographic attributes, Payette River . Accordingly, a methodology for landslide prone region using an integrated approach is presented. Keywords: GIS, Landslides, Susceptibility, Slope, Kothagiri - Remote Sensing . Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models by Ebrahim Nohani 1, Meisam Moharrami 2, Samira Sharafi 2, Khabat Khosravi 3, Biswajeet Pradhan 4,5, Binh Thai Pham 6,*, Saro Lee 7,8,* and Assefa M. Melesse 9 1 Young Researchers and Elite Club, Dezful Branch, Islamic Azad University, Dezful 64616-45169, Iran 2 Landslide Susceptibility Mapping using MATLAB & ARCGIS - Landslide Susceptibility Mapping - ArcGISwww.phdresearchlabs.com _ WhatsApp/Call : +91 86107 86880ww. To assess the landslide susceptibility, seven factors which affect the landslide occurrence were selected as: slope, aspect, soil type, geological type, rainfall intensity, forest and land cover. 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