Hossein Mojaddadi Rizeei
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Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
H Mojaddadi, B Pradhan, H Nampak, N Ahmad, AH Ghazali
Geomatics, Natural Hazards and Risk 8 (2), 1080-1102, 2017
Novel hybrid integration approach of bagging-based fisher’s linear discriminant function for groundwater potential analysis
W Chen, B Pradhan, S Li, H Shahabi, HM Rizeei, E Hou, S Wang
Natural Resources Research 28 (4), 1239-1258, 2019
Soil erosion prediction based on land cover dynamics at the Semenyih watershed in Malaysia using LTM and USLE models
HM Rizeei, MA Saharkhiz, B Pradhan, N Ahmad
Geocarto international 31 (10), 1158-1177, 2016
Improving landslide detection from airborne laser scanning data using optimized Dempster–Shafer
MR Mezaal, B Pradhan, HM Rizeei
Remote Sensing 10 (7), 1029, 2018
Oil palm counting and age estimation from WorldView-3 imagery and LiDAR data using an integrated OBIA height model and regression analysis
HM Rizeei, HZM Shafri, MA Mohamoud, B Pradhan, B Kalantar
Journal of Sensors 2018, 2018
Assessment of land cover and land use change impact on soil loss in a tropical catchment by using multitemporal SPOT‐5 satellite images and R evised U niversal Soil L oss E …
H Nampak, B Pradhan, H Mojaddadi Rizeei, HJ Park
Land degradation & development 29 (10), 3440-3455, 2018
Surface runoff prediction regarding LULC and climate dynamics using coupled LTM, optimized ARIMA, and GIS-based SCS-CN models in tropical region
HM Rizeei, B Pradhan, MA Saharkhiz
Arabian Journal of Geosciences 11 (3), 53, 2018
Modeling of CO emissions from traffic vehicles using artificial neural networks
OS Azeez, B Pradhan, HZM Shafri, N Shukla, CW Lee, HM Rizeei
Applied Sciences 9 (2), 313, 2019
Assessment of groundwater nitrate contamination hazard in a semi-arid region by using integrated parametric IPNOA and data-driven logistic regression models
HM Rizeei, OS Azeez, B Pradhan, HH Khamees
Environmental monitoring and assessment 190 (11), 633, 2018
City compactness: Assessing the influence of the growth of residential land use
S Abdullahi, B Pradhan, H Mojaddadi
Journal of Urban Technology 25 (1), 21-46, 2018
Extraction and Modeling of Urban Sprawl Development in Karbala City Using VHR Satellite Imagery
A.S. Aal-shamkhi, Hossein Mojaddadi Rizeei, Biswajeet Pradhan,Saleh Abdollahi
Spatial Modeling and Assessment of Urban Form, pp 281-296, 2017
Forest fire induced Natech risk assessment: A survey of geospatial technologies
M Naderpour, HM Rizeei, N Khakzad, B Pradhan
Reliability Engineering & System Safety 191, 106558, 2019
An integrated fluvial and flash pluvial model using 2D high-resolution sub-grid and particle swarm optimization-based random forest approaches in GIS
HM Rizeei, B Pradhan, MA Saharkhiz
Complex & Intelligent Systems 5 (3), 283-302, 2019
Urban object extraction using Dempster Shafer feature-based image analysis from worldview-3 satellite imagery
H Mojaddadi Rizeei, B Pradhan, MA Saharkhiz
International Journal of Remote Sensing 40 (3), 1092-1119, 2019
Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique
HM Rizeei, B Pradhan, MA Saharkhiz, S Lee
Journal of Hydrology 579, 124172, 2019
Urban mapping accuracy enhancement in high-rise built-up areas deployed by 3D-orthorectification correction from WorldView-3 and LiDAR imageries
HM Rizeei, B Pradhan
Remote Sensing 11 (6), 692, 2019
An investigation of efficiency of outlet runoff assessment models: Navroud watershed, Iran.
H Mojaddadi, M Habibnejad, K Solaimani, MZ Ahmadi, MA Hadian-Amri
Journal of Applied Sciences 9 (1), 105-112, 2009
Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia
HJ Jumaah, MH Ameen, B Kalantar, HM Rizeei, SJ Jumaah
Geomatics, Natural Hazards and Risk 10 (1), 2185-2199, 2019
Allocation of emergency response centres in response to pluvial flooding-prone demand points using integrated multiple layer perceptron and maximum coverage location problem models
HM Rizeei, B Pradhan, MA Saharkhiz
International Journal of Disaster Risk Reduction 38, 101205, 2019
Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data
MR Mezaal, B Pradhan, HZM Shafri, H Mojaddadi, ZM Yusoff
Global Civil Engineering Conference, 825-848, 2017
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