Online citations, reference lists, and bibliographies.

Frequency Ratio (FR) Model And Modified Information Value (MIV) Model In Landslide Susceptibility Assessment And Prediction

Sujit Mandal, Subrata Mondal
Published 2019 · Geology
Cite This
Download PDF
Analyze on Scholarcy
The assessment of landslide susceptibility is closely associated with the spatial distribution of landslides. In the present study, both frequency ratio (FR) model and modified information value (MIV) model were applied to analyse landslide susceptibility in Darjeeling Himalaya. Both the models dealt with the relationship between landslide phenomena and landslide conditioning factors. To perform the models data layers, i.e. elevation, slope aspect, slope angle, slope curvature, geology, soil, lineament density, distance to lineament, drainage density, distance to drainage, stream power index (SPI), topographic wetted index (TWI), rainfall, normalized differential vegetation index (NDVI) and land use and land cover (LULC) were taken into account. Each and every class/category of landslide conditioning factor contributes a relative importance in landslide occurrences. To prepare all the data layers, Landsat TM image, SRTM DEM, Google earth image, and some authorized maps were processed in accordance with ArcMap 10.1 and Erdas imagine 9.2. To obtain the relative significance of each class/category of landslide conditioning factors, frequency ratio (FR) value and modified information value (MIV) were estimated and accordingly the ranking values were assigned to each class/category to integrate all the data layers on GIS platform as well as to prepare landslide susceptibility map of Darjeeling Himalaya. The derived landslides susceptibility maps by using frequency ratio model and modified information value model were verified being considering the area under curve (AUC) of ROC curve and frequency ratio plot. The AUC value of ROC curve of FR model and MIV model was 0.746 and 0.769, respectively. The AUC value represents the prediction accuracy of landslide susceptibility map was 74.6% for frequency ratio model and 76.9% for modified information value model.
This paper references
Using InfoVal method and GIS techniques for the spatial modelling of landslide susceptibility in the upper catchment of river Meenachil in Kerala
H. Vijith (2009)
Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
Jaewon Choi (2012)
Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
Biswajeet Pradhan (2010)
Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia
Saro Lee (2006)
The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
S. C. Oliveira (2014)
An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy)
Lorenzo Donati (2002)
Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
Dieu Tien Bui (2011)
Application of geospatial technology and information value technique in landslide hazard zonation mapping: A case study of Giri Valley, Himachal Pradesh
Kasthuri Balasubramani (2013)
Assessment of mountain slope instability in the Lish River basin of Eastern Darjeeling Himalaya using frequency ratio model (FRM)
Biplab Mandal (2016)
Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan—by integration of GPS, GIS, and remote sensing technology
Tahir Ali Akbar (2011)
Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India
Ashish Pandey (2008)
Landslide susceptibility assessment considering landslide typology. A case study in the area north of Lisbon (Portugal)
José Luís Zêzere (2002)
Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
Saro Lee (2007)
Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
Fausto Guzzetti (1999)
A GIS and frequency ratio based landslide susceptibility mapping: Aghnashini river catchment, Uttara Kannada, India
K. G. Avinash (2010)
Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy
P. M. Atkinson (1998)
Landslide Susceptibility Mapping Based on Selected Optimal Combination of Landslide Predisposing Factors in a Large Catchment
Qianqian Wang (2015)
Fuzzy-based method for landslide hazard assessment in active seismic zone of Himalaya
Prashant Kumar Champati ray (2006)
Zoning Landslide by Use of Frequency Ratio Method (Case Study: Deylaman Region)
Shabanzadeh Karim (2011)
An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS
Sukanto Sarkar (2004)
Frequency ratio model based landslide susceptibility mapping in lower Mae Chaem watershed, Northern Thailand
Narumon Intarawichian (2011)
Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey)
Murat Ercanoglu (2004)
The use of predictive modeling techniques for optimal exploitation of spatial databases: a case study about landslide hazard mapping in the Northern
Alberto Pistocchi (2002)
An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas
Manoj K. Arora (2004)
Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea
Saro Lee (2003)
Landslide hazard assessment at Cameron Highland, Malaysia using frequency ratio and logistic regression models
Saro Lee (2006)
On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong
Chunhong Zhou (2002)
A comparative study of fuzzy logic approach for landslide susceptibility mapping using GIS: An experience of Karaj dam basin in Iran
Maryam Ilanloo (2011)
Landslide susceptibility mapping using modified information value model in the Lish river basin of Darjiling Himalaya
Biplab Mandal (2017)
Landslide Susceptibility Analysis of Shiv-Khola Watershed, Darjiling: A Remote Sensing & GIS Based Analytical Hierarchy Process (AHP)
Sujit Mondal (2011)
Landslide-Hazard Mapping Using an Expert System and a GIS
Kavitha Muthu (2007)
Relationship between landslides and lithology in the Three Gorges Reservoir area based on GIS and information value model
Caiyan Wu (2009)
Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya
Chandra Prakash Poudyal (2010)
Mapping of landslide hazard zonation using GIS at Golestan watershed, northeast of Iran
Ali Bagherzadeh (2012)
Integrating the Analytical Hierarchy Process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya
Sujit Mondal (2013)
Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia
Biswajeet Pradhan (2010)
Landslide Susceptibility Zonation (LSZ) Mapping - A Review
Debi Prasanna Kanungo (2009)
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
Biswajeet Pradhan (2010)
Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia
Zahrul Umar (2014)
GIS modelling of slope stability in Phewa Tal watershed, Nepal
David N Rowbotham (1998)
A method for producing digital probabilistic seismic landslide hazard maps
Randall W. Jibson (2000)
Probabilistic landslide susceptibility and factor effect analysis
Saro Lee (2005)
Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models
Susana da Silva Pereira (2012)
An Integrated Approach with GIS and Remote Sensing Technique for
S. Evany Nithya (2010)
The use of predictive modeling techniques for optimal exploitation of spatial databases: a case study in landslide hazard mapping with expert system-like methods
Alberto Pistocchi (2002)
Comparative evaluation of landslide susceptibility in Minamata area, Japan
Hong bo Wang (2005)
Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models
Saro Lee (2006)

This paper is referenced by
Semantic Scholar Logo Some data provided by SemanticScholar