- Beside, Kheya Restaurant,
Six road junction,
Thanapara, Kushtia Sadar-7000
Kushtia, Bangladesh - +880 1721 112 202
- University of Rajshahi, Bangladesh, Geography and Environmental Studies, Graduate Studentadd
Research Interests:
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on.... more
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on. Remote sensing spectral indices are unsupervised, unbiased, rapid, scalable, and quantitative in information extraction. Hence, we aimed to summarize the most relevant urban spectral indices by focusing on multispectral, thermal, and nighttime lights indices. We use the search terms "urban index", "built-up index", "normalized difference built-up area (NDBI )", "impervious surface index", and "spectral urban index" to collect relevant literature from the "Web of Science Core Collection" database. We found that all urban spectral indices developed since 2003, except NDBI. This review will help understand the applications of urban spectral indices, the selection of indices based on available spectral bands, and their merits and demerits.
Research Interests: Geography, Remote Sensing, Photogrammetry, Urban Planning, Urban Studies, and 9 moreRemote Sensing (Earth Sciences), Remote sensing and GIS applications in Landscape Research, Remote sensing and GIS, Literature Review, Land Cover, Geomatic Engineering, Urbanisation Index, Landsat, and Multispectral image
Over the last two decades, urban growth has become a major issue in Lahore, accelerating land surface temperature (LST) rise. The present study focused on estimating the current situation and simulating the future LST patterns in Lahore... more
Over the last two decades, urban growth has become a major issue in Lahore, accelerating land surface temperature (LST) rise. The present study focused on estimating the current situation and simulating the future LST patterns in Lahore using remote sensing data and machine learning models. The semi-automated classification model was applied for the estimation of LST from 2000 to 2020. Then, the cellular automata-artificial neural networks (CA-ANN) module was implemented to predict future LST patterns for 2030 and 2040, respectively. Our research findings revealed that an average of 2.8 °C of land surface temperature has increased, with a mean LST value from 37.25 °C to 40.10 °C in Lahore during the last two decades from 2000 to 2020. Moreover, keeping CA-ANN simulations for land surface temperature, an increase of 2.2 °C is projected through 2040, and mean LST values will be increased from 40.1 °C to 42.31 °C by 2040. The CA-ANN model was validated for future LST simulation with an overall Kappa value of 0.82 and 86.2% of correctness for the years 2030 and 2040 using modules for land-use change evaluation. The study also indicates that land surface temperature is an important factor in environmental changes. Therefore, it is suggested that future urban planning should focus on urban rooftop plantations and vegetation conservation to minimize land surface temperature increases in Lahore.
Research Interests:
Research Interests:
Rapid urbanization has become an immense problem in Lahore city, causing various socio-economic and environmental problems. Therefore, it is noteworthy to monitor land use/land cover (LULC) change detection and future LULC patterns in... more
Rapid urbanization has become an immense problem in Lahore city, causing various socio-economic and environmental problems. Therefore, it is noteworthy to monitor land use/land cover (LULC) change detection and future LULC patterns in Lahore. The present study focuses on evaluating the current extent and modeling the future LULC developments in Lahore, Pakistan. Therefore, the semi-automatic classification model has been applied for the classification of Landsat satellite imagery from 2000 to 2020. And the Modules of Land Use Change Evaluation (MOLUSCE) cellular automata (CA-ANN) model was implemented to simulate future land use trends for the years 2030 and 2040. This study project made use of Landsat, Shuttle Radar Topography Mission Digital Elevation Model, and vector data. The research methodology includes three main steps: (i) semi-automatic land use classification using Landsat data from 2000 to 2020; (ii) future land use prediction using the CA-ANN (MOLUSCE) model; and (iii) monitoring change detection and interpretation of results. The research findings indicated that there was a rise in urban areas and a decline in vegetation, barren land, and water bodies for both the past and future projections. The results also revealed that about 27.41% of the urban area has been increased from 2000 to 2020 with a decrease of 42.13% in vegetation, 2.3% in barren land, and 6.51% in water bodies, respectively. The urban area is also expected to grow by 23.15% between 2020 and 2040, whereas vegetation, barren land, and water bodies will all decline by 28.05%, 1.8%, and 12.31%, respectively. Results can also aid in the long-term, sustainable planning of the city. It was also observed that the majority of the city's urban area expansion was found to have occurred in the city's eastern and southern regions. This research also suggests that decision-makers and municipal Government should reconsider city expansion strategies. Moreover, the future city master plans of 2050 must emphasize the relevance of rooftop urban planting and natural resource conservation.
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Research Interests:
Impervious surfaces are an essential component of our environment and are mainly triggered by human developments. Rapid urbanization and population expansion have increased Lahore's urban impervious surface area. This research is... more
Impervious surfaces are an essential component of our environment and are mainly triggered by human developments. Rapid urbanization and population expansion have increased Lahore's urban impervious surface area. This research is based on estimating the urban imper- vious surface area ( uisa ) growth from 1993 to 2022. Therefore, we aimed to generate an accurate urban impervious surfaces area map based on Landsat time series data on Google Earth Engine ( gee ). We have used a novel global impervious surface area index ( gisai ) for impervious surface area ( uisa ) extraction. The gisai accomplished significant results, with an average overall accuracy of 90.93% and an average kappa coefficient of 0.78. We also compared the results of gisai with Global Human Settlement Layer-Built and harmonized nighttime light ( ntl ) isa data products. The accuracy assessment and cross-validation of uisa results were performed using ground truth data on ArcGIS and gee. Our research findings rev...
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This paper presents two novel spectral soil area indices to identify bare soil area and distinguish it more accurately from the urban impervious surface area (ISA). This study designs these indices based on medium spatial resolution... more
This paper presents two novel spectral soil area indices to identify bare soil area and distinguish it more accurately from the urban impervious surface area (ISA). This study designs these indices based on medium spatial resolution remote sensing data from Landsat 8 OLI dataset. Extracting bare soil or urban ISA is more challenging than extracting water bodies or vegetation in multispectral Remote Sensing (RS). Bare soil and the urban ISA area often were mixed because of their spectral similarity in multispectral sensors. This study proposes Normalized Soil Area Index 1 (NSAI1) and Normalized Soil Area Index 2 (NSAI2) using typical multispectral bands. Experiments show that these two indices have an overall accuracy of around 90%. The spectral similarity index (SDI) shows these two indices have higher separability between soil area and ISA than previous indices. The result shows that percentile thresholds can effectively classify bare soil areas from the background. The combined us...
Research Interests:
Research Interests:
Over the last two decades, urban growth has become a major issue in Lahore, accelerating land surface temperature (LST) rise. The present study focused on estimating the current situation and simulating the future LST patterns in Lahore... more
Over the last two decades, urban growth has become a major issue in Lahore, accelerating land surface temperature (LST) rise. The present study focused on estimating the current situation and simulating the future LST patterns in Lahore using remote sensing data and machine learning models. The semi-automated classification model was applied for the estimation of LST from 2000 to 2020. Then, the cellular automata-artificial neural networks (CA-ANN) module was implemented to predict future LST patterns for 2030 and 2040, respectively. Our research findings revealed that an average of 2.8 °C of land surface temperature has increased, with a mean LST value from 37.25 °C to 40.10 °C in Lahore during the last two decades from 2000 to 2020. Moreover, keeping CA-ANN simulations for land surface temperature, an increase of 2.2 °C is projected through 2040, and mean LST values will be increased from 40.1 °C to 42.31 °C by 2040. The CA-ANN model was validated for future LST simulation with an...
Research Interests:
Rapid urbanization has become an immense problem in Lahore city, causing various socio-economic and environmental problems. Therefore, it is noteworthy to monitor land use/land cover (LULC) change detection and future LULC patterns in... more
Rapid urbanization has become an immense problem in Lahore city, causing various socio-economic and environmental problems. Therefore, it is noteworthy to monitor land use/land cover (LULC) change detection and future LULC patterns in Lahore. The present study focuses on evaluating the current extent and modeling the future LULC developments in Lahore, Pakistan. Therefore, the semi-automatic classification model has been applied for the classification of Landsat satellite imagery from 2000 to 2020. And the Modules of Land Use Change Evaluation (MOLUSCE) cellular automata (CA-ANN) model was implemented to simulate future land use trends for the years 2030 and 2040. This study project made use of Landsat, Shuttle Radar Topography Mission Digital Elevation Model, and vector data. The research methodology includes three main steps: (i) semi-automatic land use classification using Landsat data from 2000 to 2020; (ii) future land use prediction using the CA-ANN (MOLUSCE) model; and (iii) ...
Research Interests:
Impervious surface area (ISA) is a crucial indicator for quantitative urban studies. It is also important for land use land cover classification, groundwater recharge, sustainable development, urban heat island effects, and more. Spectral... more
Impervious surface area (ISA) is a crucial indicator for quantitative urban studies. It is also important for land use land cover classification, groundwater recharge, sustainable development, urban heat island effects, and more. Spectral ISA mapping suffers from mixed pixel problems, especially with bare soil. This study aims to develop an ISA index for spatiotemporal urban mapping from common multispectral bands by reducing soil signature better than in previous studies. This study proposed a global impervious surface area index (GISAI) enhancing ISA mapping accuracy using a temporal parameter of the remote sensing (RS) dataset. Bare soil spectral reflectance shows more fluctuation than urban ISA. Therefore, the study uses minimum composites of earlier urban indices to compile minimum soil signature. It is later improved by removing water, increasing the contrast between bare soil and urban ISA and reducing bright bare soil area. This study maps the ISA of all 12 megacities using ...
Research Interests:
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on.... more
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on. Remote sensing spectral indices are unsupervised, unbiased, rapid, scalable, and quantitative in information extraction. Hence, we aimed to summarize the most relevant urban spectral indices by focusing on multispectral, thermal, and nighttime lights indices. We use the search terms "urban index", "built-up index", "normalized difference built-up area (NDBI )", "impervious surface index", and "spectral urban index" to collect relevant literature from the "Web of Science Core Collection" database. We found that all urban spectral indices developed since 2003, except NDBI. This review will help understand the applications of urban spectral indices, the selection of indices based on available sp...
Research Interests:
Research Interests:
The study tries to find out the scenario of black fever among the Santal people in Bangladesh. Santal patient health seeking behaviors related with their community people decision, free treatment consideration, preferable healthcare... more
The study tries to find out the scenario of black fever among the Santal people in Bangladesh. Santal patient health seeking behaviors related with their community people decision, free treatment consideration, preferable healthcare option. Those the entire thing is related with culture. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as well as secondary and primary data. Research shows that 81% patient depend too much on treatment of indigenous physician (Kabiraj). Also barriers of accessing health care are the prevailing factor for health seeking behavior. 92% respondents said awareness and knowledge regarding black fever has too much impact. 43% people are influenced by church and Non-Governmental Organization (N.G.O) during decision making regarding treatment. 54% patients state that, skin turns into more black after taking medicine. Economic condition of lower class people has too much impact...
Biodiversity in Bangladesh is deteriorating gradually due to many anthropogenic activities. Agricultural practices along with modern farming techniques causing depletion of biodiversity. The study was conducted to determine the impacts of... more
Biodiversity in Bangladesh is deteriorating gradually due to many anthropogenic activities. Agricultural practices along with modern farming techniques causing depletion of biodiversity. The study was conducted to determine the impacts of agricultural practices on biodiversity in the study area. Cultivable land increase only 1% but total cultivable land came under irrigation. Cropping in wetland area got popular and increase 95% in term of land area. As water level goes down, digging pond in wetland area became a trend recently. Simultaneously, the use of submersible water pumps gaining popularity. Agricultural practices shift dramatically from inorganic fertilizer to organic fertilizer and chemical fertilizer. The numbers of pesticides use reached three folds. On the other hand, floral and faunal species is losing its diversity in the study area. Total, 29% fruit plants, 38% timber plant and 42% medicinal plant species extinct. In case of fauna, 33% wild animal, 26% birds and 46% f...
Research Interests:
The study aims to understand the socio-economic condition of tobacco farming people in Bangladesh. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as... more
The study aims to understand the socio-economic condition of tobacco farming people in Bangladesh. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as well as secondary and primary data. The primary data were collected from a structured questionnaire, interviews, focus group discussion and observation. It is found that among the tobacco labor most of them 30-39 years and among the tobacco businessman, 33.3% of the respondents aged 30-39 years while most of the farmer 40-49 years. More importantly, business related people own most of the terraced building and most of the businessman and fewest of the labors have electricity connection to their houses. Businessman respondents have the most income among all three groups and two third of them earn more than BDT 16000 per month. On the contrary, labors have the least income per month. Every two out of three labor earn less than BDT 6000 per month. It is ...
Research Interests:
The study aims to know the post-disaster health condition of coastal people in Bangladesh. Both quantitative and qualitative methods were used in the collection of data for the study. It is found that a number of the respondents entirely... more
The study aims to know the post-disaster health condition of coastal people in Bangladesh. Both quantitative and qualitative methods were used in the collection of data for the study. It is found that a number of the respondents entirely depended on the old age allowance provided by the government. In most affected areas, there was limited rice production since those lands were intensively used for shrimp farming before the cyclone. Majority of the households identified tube wells as the primary water source of water (Koyra 76.82%, and Shyamnagar 85.14%). Study on sanitation practices found insufficient and varying. In both Upazilas, almost half of the households are deprived of regular waste disposal measures (Koyra 59.7%, and Shyam nagar 51.8%). In the same way, they are not aware of waste disposal system and have no plan for it. Health aides have been commonly known as health service providers of public health services in the study areas. Govt. district hospital, upazila health c...
Research Interests:
The study aims to understand the socio-economic condition of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and... more
The study aims to understand the socio-economic condition of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and observation when some secondary data also collected from different sources. 384 respondents have been interviewed form nine villages of Ishwardi, Pabna; a north-western part of Bangladesh. According to primary survey, 90% of our respondents are literate and 43% households earn less than monthly 16 thousand local currencies equivalent to around 200 USD. Among the respondent 78.91% are housewife and rest of them are related with day labor, service, garments, small business farming etc. More importantly, women house is made of muddy floor and housing material are bamboo, soil and wood. Around 77% respondent had sanitary latrine and above 98% had electricity facilities. Surprisingly, 19.5% women had own land for residence. However, the overall socio-economic co...
Research Interests:
The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through... more
The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and observation when some secondary data also collected from different sources. 384 respondents have been interviewed form nine villages of Ishwardi, Pabna; a North-Western district of Bangladesh. According to primary survey, 90% of our respondents are literate and 43% households earn less than monthly 16 thousand local currencies equivalent to around 200 USD. Every four out of five women are housewife or work in home and rest of them work outside. Rice is the staple food where 38.06% respondents took rice three times per day and 54.72% women have rice twice. Around 64% respondents took fruits daily but around 80% respondents have chicken on weekly basis. Even, 17.9% people took chicken monthly basis. Less than 2% women drink milk daily and 50....
Research Interests:
The study tries to find out the scenario of black fever among the Santal people in Bangladesh. Santal patient health seeking behaviors related with their community people decision, free treatment consideration, preferable healthcare... more
The study tries to find out the scenario of black fever among the Santal people in Bangladesh. Santal patient health seeking behaviors related with their community people decision, free treatment consideration, preferable healthcare option. Those the entire thing is related with culture. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as well as secondary and primary data. Research shows that 81% patient depend too much on treatment of indigenous physician (Kabiraj). Also barriers of accessing health care are the prevailing factor for health seeking behavior. 92% respondents said awareness and knowledge regarding black fever has too much impact. 43% people are influenced by church and Non-Governmental Organization (N.G.O) during decision making regarding treatment. 54% patients state that, skin turns into more black after taking medicine. Economic condition of lower class people has too much impact...
Research Interests:
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of... more
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of landslide susceptibility mapping, parameters or landslide conditioning factors are deduced from the information related to DEMs, especially elevation. In this paper conditioning factors related with topography are analyzed and the impact of resolution and accuracy of DEMs on these factors is discussed. Previously conducted research on landslide susceptibility mapping using these factors or parameters through exploiting different methods or models in the last two decades is reviewed, and modern trends in this field are presented in a tabulated form. Two factors or parameters are proposed for inclusion in landslide inventory list as a conditioning factor and a risk assessment parameter for future studies.
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Abstract The work aimed in developing new design of plants and helps improving the efficiency of the plants. This study represents a complete analysis of energy and cost of selected biogas plants and solar PV systems. Data were collected... more
Abstract The work aimed in developing new design of plants and helps improving the efficiency of the plants. This study represents a complete analysis of energy and cost of selected biogas plants and solar PV systems. Data were collected from 20 small scale biogas plants and 20 solar PV systems from 3 sub-Districts of Tangail Districts and 1 sub-District of Rajshahi, Bangladesh. Often three sizes of biogas plants- small (2.4 m3), medium (3.2 m3) and large (4.8 m3) were found and five capacities of 40, 50, 65, 75 and 85 watt-peak solar PV systems were found in the sampled areas. It was found that the energy payback time of biogas plants were 2 years for 2.4m3, 1.66 years for 3.2 m3 and 2.33 years for 4.2 m3 plant. While the energy payback time for solar PV systems were found 6.53 to 7.57 years depending on system capacity. Cost payback period of biogas plants were 3.4 years for 2.4 m3, 2 years for 3.2 m3 and 2.5 years for 4.2 m3 while cost payback period for solar PV systems were found 2.55 to 4.03 years. The cost per unit biogas was found 9.8 BDT (Bangladeshi Taka) for cow dung based plants and 6.9 BDT for poultry waste based plants while the cost of per unit solar electricity was found average 8.2 BDT.
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The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through... more
The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and observation when some secondary data also collected from different sources. 384 respondents have been interviewed form nine villages of Ishwardi, Pabna; a NorthWestern district of Bangladesh. According to primary survey, 90% of our respondents are literate and 43% households earn less than monthly 16 thousand local currencies equivalent to around 200 USD. Every four out of five women are housewife or work in home and rest of them work outside. Rice is the staple food where 38.06% respondents took rice three times per day and 54.72% women have rice twice. Around 64% respondents took fruits daily but around 80% respondents have chicken on weekly basis. Even, 17.9% people took chicken monthly basis. Less than 2% women drink milk daily and 50.3...
Research Interests:
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on.... more
Urban spectral indices have made promising improvements in the last two decades in urban land use land cover studies through mapping, estimation, change detection, time-series analyzing, urban dynamics, monitoring, modeling, and so on. Remote sensing spectral indices are unsupervised, unbiased, rapid, scalable, and quantitative in information extraction. Hence, we aimed to summarize the most relevant urban spectral indices by focusing on multispectral, thermal, and nighttime lights indices. We use the search terms "urban index", "built-up index", "normalized difference built-up area (NDBI)", "impervious surface index", and "spectral urban index" to collect relevant literature from the "Web of Science Core Collection" database. We found that all urban spectral indices developed since 2003, except NDBI. This review will help understand the applications of urban spectral indices, the selection of indices based on available spectral bands, and their merits and demerits.
Research Interests:
Flash floods are unexpected, localized flood events that occur when an exceptional amount of rain falls happens over a short period of time. In South Asia, it is mostly disastrous, for example, in 2017 flash floods killed approximately... more
Flash floods are unexpected, localized flood events that occur when an exceptional amount of rain falls happens over a short period of time. In South Asia, it is mostly disastrous, for example, in 2017 flash floods killed approximately 1200 people from India, Nepal, and Bangladesh. However, it is also common in Dhaka megacity, Bangladesh due to its geographic location, monsoon climatic condition and surrounding rivers. Though it is impossible to avoid them, the losses and damages of hazards can be reduced effectively by using appropriate techniques. This study aims to determine the responsible factors and measure the household vulnerability to flash flood as a tool of mitigation. The study has been conducted based on primary data. Therefore, data were collected from both slum and non-slum population to cover the entire urban habitats. Data were collected with a structured questionnaire based on five factors (social, economic, institutional, structural, and environmental) of vulnerab...
Recently, floods and natural disasters are occurring over the world frequently. It is not possible to avoid the natural occurrence of floods, but it could be managed effectively or minimize the losses and damages with the appropriate... more
Recently, floods and natural disasters are occurring over the world frequently. It is not possible to avoid the natural occurrence of floods, but it could be managed effectively or minimize the losses and damages with the appropriate technique. The purpose of this study is to measure household vulnerability to flood hazard quantitatively as a tool for mitigation aspects. The study was conducted based on primary data. Therefore, 300 households (150 from slum and 150 from non-slum) were surveyed with a structured questionnaire on responsible factors (social, economic, institutional, structural, and environmental) of household vulnerability to flooding. The relative weight of each variable and indicators were assigned with the Analytical Hierarchy Process (AHP) to obtain household vulnerability scores. All the vulnerability scores of households were standardized to get uniform scale (ranges from 1–100). The results indicated that most (63.06%) of the slum households while only 20.02% non-slum households were highly vulnerable to flood. The present study also identified and evaluated the responsible factors that create people’s vulnerability to flooding hazards in Dhaka megacity. The key feature of this paper is to provide a unique method and model to calculate numeric household vulnerability to flooding hazards, and this practical approach is useful to quantify hazard-induced vulnerabilities not only for Dhaka but also for other cities especially for developing countries.
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Global flood hazard is gradually increasing. Though it is impossible to avoid them, losses and damage of hazards (e.g., floods, cyclones, and earthquakes) could be efficiently reduced by reducing household vulnerability with appropriate... more
Global flood hazard is gradually increasing. Though it is impossible to avoid them, losses and damage of hazards (e.g., floods, cyclones, and earthquakes) could be efficiently reduced by reducing household vulnerability with appropriate measures. This study aims to quantitatively measure the household vulnerability of flood hazards as a mitigation tool. It also proposed a unique approach to quantify flood-hazard household vulnerability, and shows its application in the flood prone city of Dhaka as an example case. Data were collected from both slum and non-slum areas to cover the entire urban habitat, and to compare their level of flood vulnerability. A total of 300 households were surveyed by structured questionnaire on the basis of five factors (economic, social, environmental, structural, and institutional) of flood vulnerability. The analytical hierarchy process (AHP) was applied to measure individual household vulnerability scores by using the relative weightage of variables an...
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The study aims to know the post-disaster health condition of coastal people in Bangladesh. Both quantitative and qualitative methods were used in the collection of data for the study. It is found that a number of the respondents entirely... more
The study aims to know the post-disaster health condition of coastal people in Bangladesh. Both quantitative and qualitative methods were used in the collection of data for the study. It is found that a number of the respondents entirely depended on the old age allowance provided by the government. In most affected areas, there was limited rice production since those lands were intensively used for shrimp farming before the cyclone. Majority of the households identified tube wells as the primary water source of water (Koyra 76.82%, and Shyamnagar 85.14%). Study on sanitation practices found insufficient and varying. In both Upazilas, almost half of the households are deprived of regular waste disposal measures (Koyra 59.7%, and Shyam nagar 51.8%). In the same way, they are not aware of waste disposal system and have no plan for it. Health aides have been commonly known as health service providers of public health services in the study areas. Govt. district hospital, upazila health c...
Research Interests:
The study aim is to know indigenous people perception, diagnosis and etiology about black fever. The perception of black fever differs to them. To them, black fever means curse of God, black power and black magic. 70% patients know about... more
The study aim is to know indigenous people perception, diagnosis and etiology about black fever. The perception of black fever differs to them. To them, black fever means curse of God, black power and black magic. 70% patients know about black fever through NGO or medical test. Indigenous Santal people said about different physical characteristics of black fever. Those are angry, cold felling and avoiding rice, headache, lack of blood, birth of dead children, belly become big and stop menstruation, loss of weight and strength etc. People's knowledge about black fever, long time to recognize black fever, belief in supernatural power, belief it is touchable and fear about stigma effect on treatment of black fever patient. 78% patients believe their poor knowledge regarding black fever affect treatment process. After taking treatment from NGO or medical center 45% people didn't face any side effect and rest of them face side effect.
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Research Interests:
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of... more
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of landslide susceptibility mapping, parameters or landslide conditioning factors are deduced from the information related to DEMs, especially elevation. In this paper conditioning factors related with topography are analyzed and the impact of resolution and accuracy of DEMs on these factors is discussed. Previously conducted research on landslide susceptibility mapping using these factors or parameters through exploiting different methods or models in the last two decades is reviewed, and modern trends in this field are presented in a tabulated form. Two factors or parameters are proposed for inclusion in landslide inventory list as a conditioning factor and a risk assessment parameter for future studies.
Research Interests:
Biodiversity in Bangladesh is deteriorating gradually due to many anthropogenic activities. Agricultural practices along with modern farming techniques causing depletion of biodiversity. The study was conducted to determine the impacts of... more
Biodiversity in Bangladesh is deteriorating gradually due to many anthropogenic activities. Agricultural practices along with modern farming techniques causing depletion of biodiversity. The study was conducted to determine the impacts of agricultural practices on biodiversity in the study area. Cultivable land increase only 1% but total cultivable land came under irrigation. Cropping in wetland area got popular and increase 95% in term of land area. As water level goes down, digging pond in wetland area became a trend recently. Simultaneously, the use of submersible water pumps gaining popularity. Agricultural practices shift dramatically from inorganic fertilizer to organic fertilizer and chemical fertilizer. The numbers of pesticides use reached three folds. On the other hand, floral and faunal species is losing its diversity in the study area. Total, 29% fruit plants, 38% timber plant and 42% medicinal plant species extinct. In case of fauna, 33% wild animal, 26% birds and 46% fish species extinct form the study area. People perception mentioned cultivation land used pattern, use of chemical fertilizer, pesticide etc. irrigation, cultivating hybrid, HYV and exotic plant, use of modern agriculture technology, habitat destruction, infrastructural development, urbanization etc. as the causes of loss of biodiversity. But, in this study finds most of the biodiversity caused by anthropogenic activities. Farmers of the study area have no training of any kinds of fertilizer using but they admit that conserving biodiversity is important. Anthropogenic agricultural effects on biodiversity are a field needs further research, particularly about the conditions where native and diverse species may sustain and flourish.
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The study aims to understand the socioeconomic condition of tobacco farming people in Bangladesh. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as... more
The study aims to understand the socioeconomic condition of tobacco farming people in Bangladesh. The study is explorative and to some extent descriptive in nature that enforces to adopt mixed with qualitative and quantitative data as well as secondary and primary data. The primary data were collected from a structured questionnaire, interviews, focus group discussion and observation. It is found that among the tobacco labor most of them 30-39 years and among the tobacco businessman, 33.3% of the respondents aged 30-39 years while most of the farmer 40-49 years. More importantly, business related people own most of the terraced building and most of the businessman and fewest of the labors have electricity connection to their houses. Businessman respondents have the most income among all three groups and two third of them earn more than BDT 16000 per month. On the contrary, labors have the least income per month. Every two out of three labor earn less than BDT 6000 per month. It is cleared that economic development was achieved in all peoples' life. But social condition became worsen in the study area and among this addiction is most common in the study area.
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The study aims to understand the socioeconomic condition of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and... more
The study aims to understand the socioeconomic condition of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and observation when some secondary data also collected from different sources. 384 respondents have been interviewed form nine villages of Ishwardi, Pabna; a northwestern part of Bangladesh. According to primary survey, 90% of our respondents are literate and 43% households earn less than monthly 16 thousand local currencies equivalent to around 200 USD. Among the respondent 78.91% are housewife and rest of them are related with day labor, service, garments, small business farming etc. More importantly, women house is made of muddy floor and housing material are bamboo, soil and wood. Around 77% respondent had sanitary latrine and above 98% had electricity facilities. Surprisingly, 19.5% women had own land for residence. However, the overall socioeconomic condition of women is improving in developing country like Bangladesh, but it is still not sufficient for many.
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The study aimed at understanding the phenomenon of filling up ponds in Pabnadistrict and to find out the causes for pond filling. It also recommends policies to conserve ponds in Pabna district. This study makes an attempt to find out how... more
The study aimed at understanding the phenomenon of filling up ponds in Pabnadistrict and to find out the causes for pond filling. It also recommends policies to conserve ponds in Pabna district. This study makes an attempt to find out how urbanization leads to filling up the ponds and analyze the trends of pond fill during past 30 years. In 1986 total pond area in this district was 750.06 hectares-about 0.32% of the total land area. But in 2016, it was reduced to 562.03 hectares (about 0.24% of total land area). Urbanization, greed for land leading to encroachment were considered to be the main reasons for filling up ponds in the district, basically all the causes related with urbanization. This trend in pond filling making the drainage system of Pabnadistrict vulnerable increases urban flooding and water logging and temperature of the district area rises to an unexpected extent.
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The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through... more
The study aims to understand the food habit and dietary nutritional status of rural women in Bangladesh. The research is based on both primary and secondary data. Primary data collected from a structured questionnaire survey through interview and observation when some secondary data also collected from different sources. 384 respondents have been interviewed form nine villages of Ishwardi, Pabna; a NorthWestern district of Bangladesh. According to primary survey, 90% of our respondents are literate and 43% households earn less than monthly 16 thousand local currencies equivalent to around 200 USD. Every four out of five women are housewife or work in home and rest of them work outside. Rice is the staple food where 38.06% respondents took rice three times per day and 54.72% women have rice twice. Around 64% respondents took fruits daily but around 80% respondents have chicken on weekly basis. Even, 17.9% people took chicken monthly basis. Less than 2% women drink milk daily and 50.3% women drink on weekly basis. 50.52% respondents have normal body mass index (BMI) condition. The women from Hindu religious background are vegetarian in general. So they don't consume animal beef, meat or chicken. 63.3% women ate egg once in a week and 3.67% consume it daily. Though the overall dietary condition of women is improving in developing country like Bangladesh, but it is still not sufficient for many.
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The study aim is to know indigenous people perception, diagnosis and etiology about black fever. The perception of black fever differs to them. To them, black fever means curse of God, black power and black magic. 70% patients know about... more
The study aim is to know indigenous people perception, diagnosis and etiology about black fever. The perception of black fever differs to them. To them, black fever means curse of God, black power and black magic. 70% patients know about black fever through NGO or medical test. Indigenous Santal people said about different physical characteristics of black fever. Those are angry, cold felling and avoiding rice, headache, lack of blood, birth of dead children, belly become big and stop menstruation, loss of weight and strength etc. People's knowledge about black fever, long time to recognize black fever, belief in supernatural power, belief it is touchable and fear about stigma effect on treatment of black fever patient. 78% patients believe their poor knowledge regarding black fever affect treatment process. After taking treatment from NGO or medical center 45% people didn't face any side effect and rest of them face side effect.
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The purpose of the paper is to depict socioeconomic condition of tribal people. The research is based on some primary data, which are collected from a structured questionnaire survey, interview, observation and focus group discussion and... more
The purpose of the paper is to depict socioeconomic condition of tribal people. The research is based on some primary data, which are collected from a structured questionnaire survey, interview, observation and focus group discussion and also on some secondary data which are collected from different sources. It is found that among tribal people, 60.94% households are involved in agricultural day labor activities. Around 22.14% household depend on their own cultivable land for production, 5.99% in various formal and non-formal service sectors (Offices support staff, Security guard and Garments factory), 2.34% of total sample HHs are involved in livestock rearing. 2.86% tribal households were found involved with small business activities (Petty shop, tea stall). Among the Mahali and Roabidas tribal community have their own tradition occupation e.g. cobbler, bamboo material small cottage etc. Regarding average monthly income of the households, majority (50.26%) of the households are up to 4000.00 BDT (U$ 50) per month. Only 3.13% reported that their income is more than 6000.00 BDT (≤ U$ 75).
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The study aims to understand the impact of new road on the inhabitants in rural area. A new road dramatically change people " s lifestyle with local economy and socio-cultural environs, trade & commerce, transport development,... more
The study aims to understand the impact of new road on the inhabitants in rural area. A new road dramatically change people " s lifestyle with local economy and socio-cultural environs, trade & commerce, transport development, infrastructural expansion, establishment of small to medium scale industries and urbanization occurs due to establishment of new highway.76% respondent said that a new road have too much impact on occurring urbanization, 74% said that transport development too much in the study area and 65% new small scale industry developed in the rural area with the help of new highway. Women participation increased in the study area and surprisingly 31% people related with trade. After completing the road in 2002, 31.12% population increased in the locality within one year according to BBS report. So we should make more highways to improve our economic condition. New road means new trade, industries and urbanization.