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Research paper thumbnail of Analyses of ASTER and Spectroradiometer Data with in Situ Measurements for Turbidity and Transparency Study of Lake Abashiri

International Journal of Geoinformatics, Mar 1, 2006

Remotely sensed and spectroradiometer (Multi-spectroradiometer MSR-7000) data have often been use... more Remotely sensed and spectroradiometer (Multi-spectroradiometer MSR-7000) data have often been used to simulate and develop water quality model. This paper describes about the techniques to develop water quality models for turbidity and Secchi disk transparency of Lake Abashiri by using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) 1B and field spectroradiometer data with fluorometer data. The ASTER data were correlated with lake truth measurements after reducing the atmospheric effects of ASTER level 1B data by using two different models: (i) Proposed model in this study and (ii) Internal Average Relative Reflectance (IARR) model in model maker of ERDAS imagine software. Therefore, turbidity maps of Lake Abashiri with Okhotsk Seashore for 26 September 2001 and 16 September 2003 were produced from the ASTER level 1B data with lake truth measurements by using above mentioned models. Hence, the differences between the turbidity maps for 26 September 2001 and 16 September 2003, which were developed by different models, were comprehended. The result indicated significant linear relationships among the band ratio algorithms of band1 and band2 of ASTER data with in situ turbidity for 26 September 2001 (r=0.943 and 0.942) and 16 September 2003 (r=0.766 and 0.780) for two different methods. Spectroradiometer data

Research paper thumbnail of Flood damage and management modelling using satellite remote sensing data with GIS: case study of Bangladesh

Physiographic divisions, geological divisions, land cover categories and drainage network data we... more Physiographic divisions, geological divisions, land cover categories and drainage network data were used as GIS components. Flood frequency and floodwater depth were estimated using NOAA AVHRR data for the development of a flood hazard map. The flood hazard map provides information for the development of counter measures and preparation of high risk areas, on a priority basis, against flood damage. It is concluded that the flood hazard map, which was developed by considering the interaction of floodwater depth and flood frequency, gives good results for other events.

Research paper thumbnail of SIMULATION OF FIELD SPECTROMETER DATA FOR REMOTE SENSING MEASUREMENTS TO RETRIEVE CHOLOROPHYLL a IN CASE 2 WATER

PROCEEDINGS OF HYDRAULIC ENGINEERING, 2004

Research paper thumbnail of Evaluating Flood Hazard for Land-Use Planning in Greater Dhaka of Bangladesh Using Remote Sensing and GIS Techniques

Water Resources Management, 2007

Floods are a common feature in rapidly urbanizing Dhaka and its adjoining areas. Though Greater D... more Floods are a common feature in rapidly urbanizing Dhaka and its adjoining areas. Though Greater Dhaka experiences flood almost in every year, flood management policies are mostly based on structural options including flood walls, dykes, embankments etc. Many shortcomings of the existing flood management systems are reported in numerous literatures. The objective of this paper is to assess flood hazard in Greater Dhaka for the historical flood event of 1998 using Synthetic Aperture Radar (SAR) data with GIS data. Flood-affected frequency and flood depth calculated from the multi-date SAR imageries were used as hydrologic parameters. Elevation heights, land cover classification, geomorphic division and drainage network data generated from optical remote sensing and analogue maps were used through GIS approach. Using a ranking matrix in three dimensional multiplication mode, flood hazard was assessed. All possible combination of flood hazard maps was prepared using land-cover, geomorphology and elevation heights for flood-affected frequency and floodwater depth. Using two hazard maps which produced the highest congruence for flood frequency and flood depth, a new flood hazard map was developed by considering the interactive effect of flood-affected frequency and floodwater depth, simultaneously. This new hazard map can provide more safety for flood countermeasures because pixels belonging to higher hazard degrees were increased due to the

Research paper thumbnail of Development Priority Map for Flood Countermeasures by Remote Sensing Data with Geographic Information System

Journal of Hydrologic Engineering, 2002

... The northeast part of the Meghna River and southwest lower parts of Bangladesh show high haza... more ... The northeast part of the Meghna River and southwest lower parts of Bangladesh show high hazard ranks, whereas the development map shows low ranks for the development of the same areas. ... Eng., 44, 301–306. Kale, VS, and Pramod, H. (1997). ...

Research paper thumbnail of Effect of land cover on area! evapotranspiration using Landsat TM data with meteorological and height data- the case of Kitami city, Japan

Hydrological Sciences Journal, 1996

Land cover classification in Kitami, which covers an area of 12 km X 9.6 km, was done using Lands... more Land cover classification in Kitami, which covers an area of 12 km X 9.6 km, was done using Landsat TM data immediately after geometric correction. For each of seven land cover categories, monthly mean albedo was estimated based on field measurements obtained by the Cold Region Meteorological Observation System (CRMOS) of the Kitami Institute of Technology (KIT) and Kotoda's (1986) suggested values. The permeable zone percentages for urban and residential areas were estimated using the normalized vegetation index obtained with Landsat TM data. The monthly mean areal évapotranspiration for Kitami was obtained by Kojima's (1979) equation in winter and by Morton's (1978) equation in other seasons. The annual variation in estimated monthly mean évapotranspiration, which reaches its maximum value in July, correlated reasonably well with the évapotranspiration in an observation field. The influences on évapotranspiration of land cover category, slope solar radiation and land development were examined.

Research paper thumbnail of Satellite Remote Sensing Data Analysis for Flood Damaged Zoning With GIS for Flood Management

Annual Journal for Hydrologic Engineering, …, 2000

Annual Journal of Hydraulic Engineering, JSCE, VOL.44, 2000, February Satellite Remote Sensing Da... more Annual Journal of Hydraulic Engineering, JSCE, VOL.44, 2000, February Satellite Remote Sensing Data Analysis for Flood Damaged Zoning with GIS for Flood Management Md. Monirul ISLAM1 and Kimiteru SADO2 'Student Member of JSCE, PhD. Student, Dept. of Civil Engineering, ...

Research paper thumbnail of Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis

© King Abdulaziz University and Springer Nature Switzerland AG, 2019

This work proposes a new approach by integrating statistical, machine learning, and multi-criteri... more This work proposes a new approach by integrating statistical, machine learning, and multi-criteria decision analysis, including artificial neural network (ANN), logistic regression (LR), frequency ratio (FR), and analytical hierarchy process (AHP). Dependent (flood inventory) and independent variables (flood causative factors) were prepared using remote sensing data and the Mike-11 hydrological model and secondary data from different sources. The flood inventory map was randomly divided into training and testing datasets, where 334 flood locations (70%) were used for training and the remaining 141 locations (30%) were employed for testing. Using the area under the receiver operating curve (AUROC), predictive power of the model was tested. The results revealed that LR model had the highest success rate (81.60%) and prediction rate (86.80%), among others. Furthermore, different combinations of the models were evaluated for flood susceptibility mapping and the best combination (11 C) was used for generating a new flood hazard map for Bangladesh. The performance of the 11 C integrated models was also evaluated using the AUROC and found that integrated LR-FR model had the highest predictive power with an AUROC value of 88.10%. This study offers a new opportunity to the relevant authority for planning and designing flood control measures.

Research paper thumbnail of Flood Hazard Assessment

Physiographic divisions, geological divisions, land cover categories and drainage network data we... more Physiographic divisions, geological divisions, land cover categories and drainage network data were used as GIS components. Flood frequency and floodwater depth were estimated using NOAA AVHRR data for the development of a flood hazard map. The flood hazard map provides information for the development of counter measures and preparation of high risk areas, on a priority basis, against flood damage. It is concluded that the flood hazard map, which was developed by considering the interaction of floodwater depth and flood frequency, gives good results for other events.

Research paper thumbnail of Analyses of ASTER and Spectroradiometer Data with in Situ Measurements for Turbidity and Transparency Study of Lake Abashiri

International Journal of Geoinformatics, Mar 1, 2006

Remotely sensed and spectroradiometer (Multi-spectroradiometer MSR-7000) data have often been use... more Remotely sensed and spectroradiometer (Multi-spectroradiometer MSR-7000) data have often been used to simulate and develop water quality model. This paper describes about the techniques to develop water quality models for turbidity and Secchi disk transparency of Lake Abashiri by using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) 1B and field spectroradiometer data with fluorometer data. The ASTER data were correlated with lake truth measurements after reducing the atmospheric effects of ASTER level 1B data by using two different models: (i) Proposed model in this study and (ii) Internal Average Relative Reflectance (IARR) model in model maker of ERDAS imagine software. Therefore, turbidity maps of Lake Abashiri with Okhotsk Seashore for 26 September 2001 and 16 September 2003 were produced from the ASTER level 1B data with lake truth measurements by using above mentioned models. Hence, the differences between the turbidity maps for 26 September 2001 and 16 September 2003, which were developed by different models, were comprehended. The result indicated significant linear relationships among the band ratio algorithms of band1 and band2 of ASTER data with in situ turbidity for 26 September 2001 (r=0.943 and 0.942) and 16 September 2003 (r=0.766 and 0.780) for two different methods. Spectroradiometer data

Research paper thumbnail of Flood damage and management modelling using satellite remote sensing data with GIS: case study of Bangladesh

Physiographic divisions, geological divisions, land cover categories and drainage network data we... more Physiographic divisions, geological divisions, land cover categories and drainage network data were used as GIS components. Flood frequency and floodwater depth were estimated using NOAA AVHRR data for the development of a flood hazard map. The flood hazard map provides information for the development of counter measures and preparation of high risk areas, on a priority basis, against flood damage. It is concluded that the flood hazard map, which was developed by considering the interaction of floodwater depth and flood frequency, gives good results for other events.

Research paper thumbnail of SIMULATION OF FIELD SPECTROMETER DATA FOR REMOTE SENSING MEASUREMENTS TO RETRIEVE CHOLOROPHYLL a IN CASE 2 WATER

PROCEEDINGS OF HYDRAULIC ENGINEERING, 2004

Research paper thumbnail of Evaluating Flood Hazard for Land-Use Planning in Greater Dhaka of Bangladesh Using Remote Sensing and GIS Techniques

Water Resources Management, 2007

Floods are a common feature in rapidly urbanizing Dhaka and its adjoining areas. Though Greater D... more Floods are a common feature in rapidly urbanizing Dhaka and its adjoining areas. Though Greater Dhaka experiences flood almost in every year, flood management policies are mostly based on structural options including flood walls, dykes, embankments etc. Many shortcomings of the existing flood management systems are reported in numerous literatures. The objective of this paper is to assess flood hazard in Greater Dhaka for the historical flood event of 1998 using Synthetic Aperture Radar (SAR) data with GIS data. Flood-affected frequency and flood depth calculated from the multi-date SAR imageries were used as hydrologic parameters. Elevation heights, land cover classification, geomorphic division and drainage network data generated from optical remote sensing and analogue maps were used through GIS approach. Using a ranking matrix in three dimensional multiplication mode, flood hazard was assessed. All possible combination of flood hazard maps was prepared using land-cover, geomorphology and elevation heights for flood-affected frequency and floodwater depth. Using two hazard maps which produced the highest congruence for flood frequency and flood depth, a new flood hazard map was developed by considering the interactive effect of flood-affected frequency and floodwater depth, simultaneously. This new hazard map can provide more safety for flood countermeasures because pixels belonging to higher hazard degrees were increased due to the

Research paper thumbnail of Development Priority Map for Flood Countermeasures by Remote Sensing Data with Geographic Information System

Journal of Hydrologic Engineering, 2002

... The northeast part of the Meghna River and southwest lower parts of Bangladesh show high haza... more ... The northeast part of the Meghna River and southwest lower parts of Bangladesh show high hazard ranks, whereas the development map shows low ranks for the development of the same areas. ... Eng., 44, 301–306. Kale, VS, and Pramod, H. (1997). ...

Research paper thumbnail of Effect of land cover on area! evapotranspiration using Landsat TM data with meteorological and height data- the case of Kitami city, Japan

Hydrological Sciences Journal, 1996

Land cover classification in Kitami, which covers an area of 12 km X 9.6 km, was done using Lands... more Land cover classification in Kitami, which covers an area of 12 km X 9.6 km, was done using Landsat TM data immediately after geometric correction. For each of seven land cover categories, monthly mean albedo was estimated based on field measurements obtained by the Cold Region Meteorological Observation System (CRMOS) of the Kitami Institute of Technology (KIT) and Kotoda's (1986) suggested values. The permeable zone percentages for urban and residential areas were estimated using the normalized vegetation index obtained with Landsat TM data. The monthly mean areal évapotranspiration for Kitami was obtained by Kojima's (1979) equation in winter and by Morton's (1978) equation in other seasons. The annual variation in estimated monthly mean évapotranspiration, which reaches its maximum value in July, correlated reasonably well with the évapotranspiration in an observation field. The influences on évapotranspiration of land cover category, slope solar radiation and land development were examined.

Research paper thumbnail of Satellite Remote Sensing Data Analysis for Flood Damaged Zoning With GIS for Flood Management

Annual Journal for Hydrologic Engineering, …, 2000

Annual Journal of Hydraulic Engineering, JSCE, VOL.44, 2000, February Satellite Remote Sensing Da... more Annual Journal of Hydraulic Engineering, JSCE, VOL.44, 2000, February Satellite Remote Sensing Data Analysis for Flood Damaged Zoning with GIS for Flood Management Md. Monirul ISLAM1 and Kimiteru SADO2 'Student Member of JSCE, PhD. Student, Dept. of Civil Engineering, ...

Research paper thumbnail of Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis

© King Abdulaziz University and Springer Nature Switzerland AG, 2019

This work proposes a new approach by integrating statistical, machine learning, and multi-criteri... more This work proposes a new approach by integrating statistical, machine learning, and multi-criteria decision analysis, including artificial neural network (ANN), logistic regression (LR), frequency ratio (FR), and analytical hierarchy process (AHP). Dependent (flood inventory) and independent variables (flood causative factors) were prepared using remote sensing data and the Mike-11 hydrological model and secondary data from different sources. The flood inventory map was randomly divided into training and testing datasets, where 334 flood locations (70%) were used for training and the remaining 141 locations (30%) were employed for testing. Using the area under the receiver operating curve (AUROC), predictive power of the model was tested. The results revealed that LR model had the highest success rate (81.60%) and prediction rate (86.80%), among others. Furthermore, different combinations of the models were evaluated for flood susceptibility mapping and the best combination (11 C) was used for generating a new flood hazard map for Bangladesh. The performance of the 11 C integrated models was also evaluated using the AUROC and found that integrated LR-FR model had the highest predictive power with an AUROC value of 88.10%. This study offers a new opportunity to the relevant authority for planning and designing flood control measures.

Research paper thumbnail of Flood Hazard Assessment

Physiographic divisions, geological divisions, land cover categories and drainage network data we... more Physiographic divisions, geological divisions, land cover categories and drainage network data were used as GIS components. Flood frequency and floodwater depth were estimated using NOAA AVHRR data for the development of a flood hazard map. The flood hazard map provides information for the development of counter measures and preparation of high risk areas, on a priority basis, against flood damage. It is concluded that the flood hazard map, which was developed by considering the interaction of floodwater depth and flood frequency, gives good results for other events.