landslide susceptibility analysis
Efficacy of using radar-derived factors in landslide susceptibility analysis: case study of Koslanda, Sri Lanka
... aerial photographs, satellite images, and some temporal im- ages from Google Earth (Fig. 2). Verifications are carried out through field investigations. In this research, the predispos- ing factors were selected from ...
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APPLICATION OF GEOINFORMATICS FOR LANDSLIDE SUSCEPTIBILITY ANALYSIS IN KONKAN REGION, MAHARASHTRA
... and landslide event approximately 7 Kms from Kankavali Railway Station near Bordave ...village. Susceptibility map divides the entire study area in only three zones as completely safe zone, susceptible zone ...
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Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes
... For this, we created a landslide inventory based on multi-temporal images from different sources and used the Yule Coefficient and the Distance Distribution Analysis, which enabled us to[r] ...
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Multi Resolution Landslide Susceptibility Analysis Using a DEM and Random Forest
... of landslide triggering, as suggested by some previous studies [25] ...on landslide susceptibility at scales equal to or larger than 30 m (Figure ...a landslide, only at relatively coarse ...
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A Comparative Evaluation of Normal Polygon Geotechnical Deterministic Analysis (NPGDA) and GEOStatistical INterpolation Techniques (Kriging) (GEOSTAINT-K): A Case Study from Kota Kinabalu Area, Sabah, Malaysia
... for landslide susceptibility analysis (LSA) based on Normal Polygon Geotechnical Deterministic Analysis (NPGDA) and GEOSTAtistical INterpolation Techniques (Kriging) (GEOSTAINT-K) for the ...
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Landslide susceptibility mapping using logistic regression analysis in Latyan catchment
... landslide susceptibility. Lee (2004), also showed that the landslide susceptibility maps based on Bayesian probability model, a likelihood ratio model, and Logistic Regression was verified and ...
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Evaluating performance of simplified physically based models for shallow landslide susceptibility
... multivariate analysis, discriminant analysis, and the random forests approach to link instability factors (such as geology, soil, slope, curva- ture, and aspect) with past and present ...multivariate ...
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EARTHQUAKE TRIGGERED MULTI-HAZARD AND RISK STUDY
... The coseismic landslide susceptibility analysis on this multi-hazard and risk study used the result of 207.. previous research conducted by [14].[r] ...
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Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs
... and landslide predisposing factors such as topography are similar to those verified landslides in the ...improved landslide inventory ...for landslide susceptibility mapping utilizing PFR ...
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Mapping Landslides Susceptibility in a Traditional Northern Nigerian City
... Landslides Susceptibility in Nigeria, the monitoring and assessment appears ...landslides susceptibility, landuse and landcover analysis in Jos South LGA, Plateau State, ...map Landslide ...
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Assessing the quality of landslide susceptibility maps – case study Lower Austria
... of landslide susceptibility mod- elling is based on James Hutton’s (1726–1797) concept of uniformitarianism, “the past and the present are keys to the future” (Orme, ...to landslide ...
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Non-susceptible landslide areas in Italy and in the Mediterranean region
... of susceptibility) of single ...areas, landslide suscepti- bility is expected to be negligible, ...representing landslide cells be- low the threshold ...
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Landslide susceptibility mapping using remote sensing data and geographic information system-based algorithms
... in landslide warning systems (Pradhan & Kim, 2016; Chen et ...2017d). Landslide susceptibility models, can support and boost the spatial planning and decisions focused on mitigating ...
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Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan
... the landslide susceptibil- ity ...various landslide thematic variables, which high- lighted that the ability of this landslide susceptibility model to predict landslides was more efficient ...
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Landslide susceptibility assessment considering landslide typology. A case study in the area north of Lisbon (Portugal)
... The landslide susceptibility assessment considering land- slide typology needs to be transferred to decision makers who should implement landslide loss-reduction strategies, in order to reduce the ...
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Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains
... a landslide susceptibility assessment depends not only on whether that variable plays a role in the landslide process itself but also on the quality of that ...
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Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre Eastern Africa
... In this study, the application of logistic regression in susceptibility modeling, served to define the linkage between the presence and lack of landslide events with related conditioning[r] ...
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Geohazard and Vulnerability Risk Analysis as Inputs in Mainstreaming Climate Change in Developing Country
... The existing biophysical conditions and geological data of the area may have great contribution to the vulnerability and the possible impacts of climate change to the people, farms, and other properties. Anthropogenic ...
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Coseismic landslide susceptibility assessment using geographic information system
... The enhancement of remote sensing (RS) and geographic information system (GIS) technology have successfully an- swered this problem. With rapid computation capacities and relatively low cost, RS and GIS provide good ...
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Spatial prediction of groundwater spring potential mapping based on an adaptive neuro fuzzy inference system and metaheuristic optimization
... and landslide susceptibility mapping (Chen et ...flood susceptibility mapping of the Jahrom basin, and stated that ANFIS–PSO had higher prediction capabilities than the other two ...
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