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Dr Monirul Islam
Dr Monirul Islam
Dean and Professor, College of Engineering and Technology, IUBAT, Bangladesh
Verified email at iubat.edu
Title
Cited by
Cited by
Year
Development of flood hazard maps of Bangladesh using NOAA-AVHRR images with GIS
MM Islam, K Sado
Hydrological Sciences Journal 45 (3), 337-355, 2000
2862000
Evaluating flood hazard for land-use planning in greater Dhaka of Bangladesh using remote sensing and GIS techniques
AM Dewan, MM Islam, T Kumamoto, M Nishigaki
Water resources management 21, 1601-1612, 2007
2362007
Flood hazard assessment in Bangladesh using NOAA AVHRR data with geographical information system
MM Islam, K Sado
Hydrological Processes 14 (3), 605-620, 2000
1982000
Flood susceptibility assessment in Bangladesh using machine learning and multi-criteria decision analysis
M Rahman, C Ningsheng, MM Islam, A Dewan, J Iqbal, RMA Washakh, ...
Earth Systems and Environment 3, 585-601, 2019
1802019
Development priority map for flood countermeasures by remote sensing data with geographic information system
MM Islam, K Sado
Journal of hydrologic engineering 7 (5), 346-355, 2002
135*2002
Flooding and its relationship with land cover change, population growth, and road density
M Rahman, C Ningsheng, GI Mahmud, MM Islam, HR Pourghasemi, ...
Geoscience Frontiers 12 (6), 101224, 2021
1002021
Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh
M Rahman, N Chen, A Elbeltagi, MM Islam, M Alam, HR Pourghasemi, ...
Journal of Environmental Management 295, 113086, 2021
602021
Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh
M Rahman, N Chen, MM Islam, A Dewan, HR Pourghasemi, ...
Geoscience Frontiers 12 (3), 101095, 2021
602021
Landslide susceptibility mapping with deep learning algorithms
JM Habumugisha, N Chen, M Rahman, MM Islam, H Ahmad, A Elbeltagi, ...
Sustainability 14 (3), 1734, 2022
592022
Flood damage and management modelling using satellite remote sensing data with GIS: case study of Bangladesh
MM Islam, K Sado, M Owe, K Brubaker, J Ritchie, A Rango
IAHS PUBLICATION, 455-457, 2001
582001
Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm
M Rahman, N Chen, MM Islam, GI Mahmud, HR Pourghasemi, M Alam, ...
Journal of Cleaner Production 311, 127594, 2021
472021
Satellite Remote Sensing Data Analysis for Flooded Area and Weather Study Case Study of Dhaka City, Bangladesh
K SADO, M ISLAM
PROCEEDINGS OF HYDRAULIC ENGINEERING 41, 945-950, 1997
271997
Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models
H Ahmad, C Ningsheng, M Rahman, MM Islam, HR Pourghasemi, ...
ISPRS International Journal of Geo-Information 10 (5), 315, 2021
252021
Satellite remote sensing data analysis for flood damaged zoning with GIS for flood management
M ISLAM, K SADO
PROCEEDINGS OF HYDRAULIC ENGINEERING 44, 301-306, 2000
252000
Delineating flood risk areas in Greater Dhaka of Bangladesh using geoinformatics
AM Dewan, M Humayun Kabir, M Monirul Islam, T Kumamoto, ...
Georisk 1 (4), 190-201, 2007
242007
Analyses of ASTER and Spectroradiometer data with in situ measurements for turbidity and transparency study of lake Abashri
M Islam, K Sado
International Journal of Geoinformatics 2, 31-45, 2006
142006
How do multiple kernel functions in machine learning algorithms improve precision in flood probability mapping?
MA Baig, D Xiong, M Rahman, MM Islam, A Elbeltagi, B Yigez, DK Rai, ...
Natural Hazards 113 (3), 1543-1562, 2022
122022
Flood hazard assessment for the construction of flood hazard map and land development priority map using NOAA/AVHRR data and GIS–a case study in Bangladesh
M Islam, K Sado
Hydrological Sciences–Journal–des Sciences Hydrologiques 45 (3), 337-357, 2000
122000
Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology
MU Mia, M Rahman, A Elbeltagi, M Abdullah-Al-Mahbub, G Sharma, ...
Geocarto International, 1-29, 2022
102022
Effect of land cover on area! evapotranspiration using Landsat TM data with meteorological and height data-the case of Kitami city, Japan
K Sado, MDM ISLAM
Hydrological sciences journal 41 (2), 207-217, 1996
61996
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