Seuraa
Mahyat Shafapourtehrany
Mahyat Shafapourtehrany
Kandilli Observatory (Kandilli Rasathanesi ve Deprem Araştırma Enstitüsü)
Vahvistettu sähköpostiosoite verkkotunnuksessa boun.edu.tr
Nimike
Viittaukset
Viittaukset
Vuosi
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
10352014
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
9022013
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
7952015
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
4702015
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
3782014
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
3612014
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
3422019
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
3362014
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
2782017
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
2562014
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
2172019
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
1982014
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
1902019
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
1502014
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
1312018
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
1242015
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
1042019
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
942016
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
942014
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
912020
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Artikkelit 1–20