Data mining and statistical approaches in debris-flow susceptibility modelling using airborne LiDAR data by Lay, Usman Salihu, Pradhan, Biswajeet, Md Yusoff, Zainuddin, Abdullah, Ahmad Fikri, Aryal, Jagannath, Park, Hyuck Jin

“…Twelve conditioning factors namely; elevation, plan-curvature, slope angle, total curvature, slope aspect, Stream Transport Index (STI), profile curvature, roughness index, Stream Catchment Area (SCA), Stream Power Index (SPI), Topographic Wetness Index (TWI) and Topographic Position Index (TPI) were selected from Light Detection and Ranging (LiDAR)-derived Digital Elevation Model (DEM) data. …”
Get full text

Landslide susceptibility mapping using support vector machine and GIS at the Golestan province, Iran by Pourghasemi, Hamid Reza, Jirandeh, Abbas Goli, Pradhan, Biswajeet, Xu, Chong, Gokceoglu, Candan

“…These factors are slope degree, slope aspect, altitude, plan curvature, profile curvature, tangential curvature, surface area ratio (SAR), lithology, land use, distance from faults, distance from rivers, distance from roads, topographic wetness index (TWI) and stream power index (SPI). …”
Get full text

The ASTER DEM generation for geomorphometric analysis of the Central Alborz mountains, Iran by Mousavi, Seyed Ramzan, Pirasteh, Saied, Pradhan, Biswajeet, Mansor, Shattri, Mahmud, Ahmad Rodzi

“…Geomorphic parameters are useful to identify and describe geomorphologic forms and processes, which were extracted from ASTER DEM in GIS environment such as elevation, aspect, slope angle, vertical curvature, and tangential curvature. Although the elevation values are slightly low in altitudes above 5500 m asl., the ASTER DEM is useful in interpretation of the macro- and meso-relief, and provides the opportunity for mapping especially at medium scales (1:100,000 and 1:50,000). …”
Get full text

A novel Swarm Intelligence—Harris Hawks optimization for spatial assessment of landslide susceptibility by Bui, Dieu Tien, Moayedi, Hossein, Kalantar, Bahareh, Osouli, Abdolreza, Pradhan, Biswajeet, Nguyen, Hoang, A. Rashid, Ahmad Safuan

“…A spatial database comprising 208 historical landslides, as well as 14 landslide conditioning factors-elevation, slope aspect, plan curvature, profile curvature, soil type, lithology, distance to the river, distance to the road, distance to the fault, land cover, slope degree, stream power index (SPI), topographic wetness index (TWI), and rainfall-is prepared to develop the ANN and HHO-ANN predictive tools. …”
Get full text

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy by Hong, Haoyuan, Chen, Wei, Xu, Chong, Youssef, Ahmed M., Pradhan, Biswajeet, Bui, Dieu Tien

“…Second, 15 landslide-related factors such as elevation, slope, aspect, plan curvature, profile curvature, stream power index, sediment transport index, topographic wetness index, distance to faults, distance to rivers, distance to roads, landuse, NDVI, lithology and rainfall were prepared for the landslide susceptibility modelling. …”
Get full text

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran) by Pourghasemi, Hamid Reza, Moradi, Hamid Reza, Aghda, Seyed Mahmoud Fatemi, Gokceoglu, Candan, Pradhan, Biswajeet

“…Conditioning factors such as slope degree, slope aspect, altitude, plan curvature, profile curvature, surface area ratio, topographic position index, topographic wetness index, stream power index, slope length, lithology, land use, normalized difference vegetation index, distance from faults, distance from rivers, distance from roads, and drainage density are used for landslide susceptibility mapping. …”
Get full text

Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines by Hong, Haoyuan, Pradhan, Biswajeet, Jebur, Mustafa Neamah, Bui, Dieu Tien, Xu, Chong, Akgun, Aykut

“…Then, 15 landslide conditioning factors were prepared, i.e., altitude, aspect, slope, stream power index (SPI), topographic wetness index (TWI), sediment transport index (STI), plan curvature, profile curvature, distance from river, distance from road, distance from fault, lithology, land use, NDVI, and rainfall. …”
Get full text

Optimized conditioning factors using machine learning techniques for groundwater potential mapping by Kalantar, Bahareh, Al-Najjar, Husam A. H., Pradhan, Biswajeet, Saeidi, Vahideh, Abdul Halin, Alfian, Ueda, Naonori, Naghibi, Seyed Amir

“…From a total of 15 frequently used GCFs, 11 most effective ones (i.e., altitude, slope angle, plan curvature, profile curvature, topographic wetness index, distance from river, distance from fault, river density, fault density, land use, and lithology) were finally selected. …”
Get full text

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) by Hong, Haoyuan, Liu, Junzhi, Bui, Dieu Tien, Pradhan, Biswajeet, Acharya, Tri Dev, Pham, Binh Thai, Zhu, A-Xing, Chen, Wei, Ahmad, Baharin

“…Secondly, fifteen landslide conditioning factors were prepared, such as slope, aspect, altitude, topographic wetness index (TWI), stream power index (SPI), sediment transport index (STI), plan curvature, profile curvature, lithology, distance to faults, distance to rivers, distance to roads, land use, normalized difference vegetation index (NDVI), and rainfall. …”

A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in... by Dehnavi, Alireza, Aghdam, Iman Nasiri, Pradhan, Biswajeet, Morshed Varzandeh, Mohammad Hossein

“…Then, twelve landslide predisposing factors, such as lithology, slope angle, slope aspect, plan curvature, profile curvature, altitude, distance to streams, distance to faults, distance to roads, land use, seismicity, and rainfall were considered for the analysis. …”
Get full text

Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran. by Pradhan, Biswajeet, Pourghasemi, Hamid Reza, Gokceoglu, Candan, Mohammadi, Majid, Moradi, Hamid Reza

“…The landslide conditioning factors considered for the study area were slope gradient, slope aspect, altitude, lithology, land use, distance from streams, distance from roads, distance from faults, topographic wetness index, stream power index, stream transport index and plan curvature. For validation of the produced landslide susceptibility maps, the results of the analyses were compared with the field-verified landslide locations. …”
Get full text

Application of an evidential belief function model in landslide susceptibility mapping by Althuwaynee, Omar F., Pradhan, Biswajeet, Lee, Saro

“…Fourteen landslide conditioning factors such as slope, aspect, curvature, altitude, surface roughness, lithology, distance from faults, ndvi (normalized difference vegetation index), land cover, distance from drainage, distance from road, spi (stream power index), soil type, precipitation, were used as thematic layers in the analysis. …”
Get full text

Prediction of slope failures using bivariate statistical based index of entropy model by Althuwaynee, Omar F., Pradhan, Biswajeet, Mahmud, Ahmad Rodzi, Md Yusoff, Zainuddin

“…Based on potential information of entropy method (IoE), subjective weights were calculated for fourteen landslide conditioning factors used in this study such as, (slope, aspect, curvature, altitude, surface roughness, lithology, distance from faults, NDVI (normalized difference vegetation index), land cover, distance from drainage, distance from road, SPI (stream power index), soil type and precipitation). …”
Get full text

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. by Hyun, Joo Oh, Pradhan, Biswajeet

“…In the second stage, landslide-related conditioning factors such as altitude, slope angle, plan curvature, distance to drainage, distance to road, soil texture and stream power index (SPI) were extracted from the topographic and soil maps. …”
Get full text

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS by Abd Manap, Mohamad, Nampak, Haleh, Pradhan, Biswajeet, Lee, Saro, Sulaiman, Wan Nor Azmin, Ramli, Mohammad Firuz

“…Moreover, this study includes the analysis of the spatial relationships between groundwater yield and various hydrological conditioning factors such as elevation, slope, curvature, river, lineament, geology, soil, and land use for this region. …”
Get full text

Flood susceptibility mapping using integrated bivariate and multivariate statistical models by Tehrany, Mahyat Shafapour, Lee, Moung Jin, Pradhan, Biswajeet, Jebur, Mustafa Neamah, Lee, Saro

“…Independent variables datasets included the rainfall, digital elevation model, slope, curvature, geology, green farmland, rivers, slope, soil drainage, soil effect, soil texture, stream power index, timber age, timber density, timber diameter, and timber type. …”
Get full text

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran by Pourghasemi, Hamid Reza, Pradhan, Biswajeet, Gokceoglu, Candan

“…These factors are slope degree, aspect, plan curvature, altitude, lithology, land use, distance from rivers, distance from roads, distance from faults, stream power index, slope length, and topographic wetness index. …”
Get full text

Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia by Sezera, Ebru Akcapinar, Pradhan, Biswajeet, Gokceogluc, Candan

“…Seven landslide conditioning factors such as altitude, slope angle, plan curvature, distance from drainage, soil type, distance from faults and NDVI were extracted from the spatial database. …”
Get full text

Landslide susceptibility mapping along Bhalubang-Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models by Regmi, Amar Deep, Yoshida, Kohki, Pourghasemi, Hamid Reza, DhitaL, Megh Raj, Pradhan, Biswajeet

“…In addition, it was observed that the distance from highway and lithology, followed by distance from drainage, slope curvature, and slope gradient played major role in the formation of landsides. …”

Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia by Youssef, Ahmed M., Pradhan, Biswajeet, Jebur, Mustafa Neamah, El-Harbi, Hassan M.

“…The landslide conditioning factors used in the LSL include altitude, curvature, distance from wadis, distance from road, distance from fault, stream power index, topographic wetness index, soil type, geology, slope, and aspect. …”