| Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS MS Tehrany, B Pradhan, MN Jebur Journal of hydrology 512, 332-343, 2014 | 1026 | 2014 |
| Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS MS Tehrany, B Pradhan, MN Jebur Journal of hydrology 504, 69-79, 2013 | 901 | 2013 |
| Flood susceptibility assessment using GIS-based support vector machine model with different kernel types MS Tehrany, B Pradhan, S Mansor, N Ahmad Catena 125, 91-101, 2015 | 796 | 2015 |
| Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method MS Tehrany, B Pradhan, MN Jebur Stochastic environmental research and risk assessment 29, 1149-1165, 2015 | 469 | 2015 |
| Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia Z Umar, B Pradhan, A Ahmad, MN Jebur, MS Tehrany Catena 118, 124-135, 2014 | 379 | 2014 |
| Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale MN Jebur, B Pradhan, MS Tehrany Remote Sensing of Environment 152, 150-165, 2014 | 357 | 2014 |
| Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques MS Tehrany, S Jones, F Shabani Catena 175, 174-192, 2019 | 338 | 2019 |
| Flood susceptibility mapping using integrated bivariate and multivariate statistical models MS Tehrany, MJ Lee, B Pradhan, MN Jebur, S Lee Environmental earth sciences 72, 4001-4015, 2014 | 328 | 2014 |
| GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques M Shafapour Tehrany, F Shabani, M Neamah Jebur, H Hong, W Chen, ... Geomatics, Natural Hazards and Risk 8 (2), 1538-1561, 2017 | 277 | 2017 |
| Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS B Pradhan, MH Abokharima, MN Jebur, MS Tehrany Natural hazards 73, 1019-1042, 2014 | 253 | 2014 |
| Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods M Shafapour Tehrany, L Kumar, M Neamah Jebur, F Shabani Geomatics, Natural Hazards and Risk 10 (1), 79-101, 2019 | 215 | 2019 |
| A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery MS Tehrany, B Pradhan, MN Jebuv Geocarto International 29 (4), 351-369, 2014 | 196 | 2014 |
| A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data MS Tehrany, S Jones, F Shabani, F Martínez-Álvarez, D Tien Bui Theoretical and Applied Climatology 137, 637-653, 2019 | 192 | 2019 |
| An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image B Pradhan, U Hagemann, MS Tehrany, N Prechtel Computers & geosciences 63, 34-43, 2014 | 152 | 2014 |
| The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods MS Tehrany, L Kumar Environmental Earth Sciences 77, 1-24, 2018 | 130 | 2018 |
| Data fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and quickbird satellite imagery B Pradhan, MN Jebur, HZM Shafri, MS Tehrany IEEE Transactions on Geoscience and remote sensing 54 (3), 1610-1622, 2015 | 126 | 2015 |
| A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia MS Tehrany, L Kumar, F Shabani PeerJ 7, e7653, 2019 | 98 | 2019 |
| Manifestation of LiDAR-derived parameters in the spatial prediction of landslides using novel ensemble evidential belief functions and support vector machine models in GIS MN Jebur, B Pradhan, MS Tehrany IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 95 | 2014 |
| A new semiautomated detection mapping of flood extent from TerraSAR-X satellite image using rule-based classification and taguchi optimization techniques B Pradhan, MS Tehrany, MN Jebur IEEE Transactions on Geoscience and Remote Sensing 54 (7), 4331-4342, 2016 | 94 | 2016 |
| Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate F Shabani, M Ahmadi, L Kumar, S Solhjouy-fard, MS Tehrany, F Shabani, ... Ecological Indicators 116, 106436, 2020 | 92 | 2020 |
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, AustraliaVerified email at uts.edu.au
