Impact of banning polythene bags on floods of Dhaka City by applying CVM and remote sensing

2005 ◽  
Author(s):  
S.U. Ahmed ◽  
K. Gotoh
Keyword(s):  
Remote Sensing ◽  
Dhaka City

scholarly journals Dhaka City Water logging Hazards: Area Identification and Vulnerability Assessment through GIS-Remote Sensing Techniques

2021 ◽  
Author(s):  
Rafiul Alam ◽  
Zahidul Quayyum ◽  
Simon Moulds ◽  
Marzuka Ahmad Radia ◽  
Hasna Hena Sara ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Buffer Zone ◽  
Integrated Approach ◽  
High Water ◽  
Dhaka City ◽  
Moisture Index ◽  
Water Logging ◽  
Logging Effects ◽  
Vegetation Water ◽  
City Water

Abstract Water logging is one of the most detrimental phenomena continuing to burden Dhaka dwellers. This study aims to spatio-temporarily identify the water logging hazard zones within Dhaka Metropolitan area and assess the extent of their water logging susceptibility based on informal settlements, built-up areas and demographical characteristics. The study utilizes integrated Geographic Information System (GIS)-Remote sensing (RS) methods, using Normalized Difference Vegetation Water and Moisture Index, distance buffer zone from drainage streams and built-up distributions to identify waterlogged zones with a temporal extent, incorporating social and infrastructural attributes to evaluate water logging effects. All the indicators were integrated into an overlay GIS method to measure the vulnerability level across Dhaka city areas. The findings reveal that south and south-western parts of Dhaka were more susceptible to water logging hazards. Almost 30–40% of Dhaka belongs to the high/very highly vulnerable zone. Greater number of slum households were observed within high to very high water logging vulnerable zones with approximately 70% of poorly structured households. The built-up areas increased around the northern part of Dhaka across time and exposed to severe water logging issues. A holistic and integrated approach is necessary in future development plans to mitigate the risk of water logging.

scholarly journals Remote Sensing & GIS Based Spatio-Temporal Change Analysis of Wetland in Dhaka City, Bangladesh

2011 ◽  
Vol 03 (11) ◽  
pp. 781-787 ◽  
Author(s):  
Ummai Habiba ◽  
Fouzia Haider ◽  
Asif Ishtiaque ◽  
Mallik Sezan Mahmud ◽  
Arif Masrur
Keyword(s):  
Remote Sensing ◽  
Temporal Change ◽  
Dhaka City ◽  
Change Analysis ◽  
Spatio Temporal ◽  
Temporal Change Analysis

scholarly journals An Investigation on the Pattern of Land Use Change in Dhaka City Using Remote Sensing and GIS Application

2015 ◽  
Vol 7 (2) ◽  
pp. 105-109 ◽  
Author(s):  
MN Uddin ◽  
MF Anwar ◽  
MT Rahman ◽  
MN Mobin
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Change ◽  
Least Square Method ◽  
Unsupervised Classification ◽  
Remote Sensing And Gis ◽  
Least Square ◽  
Land Use Land Cover ◽  
Dhaka City ◽  
Gis And Remote Sensing

This study assessed the extent and trend of landuse/cover change in three selected area of Dhaka city, Bangladesh. This paper examined the use of GIS and Remote Sensing in mapping Land Use/Land Cover in Dhaka city of Landsat imageries of 1960, 2000 and 2014 were downloaded from the Landsat website and to detect the changes that has taken place in this status between these periods. Remote sensing and GIS based software (ILWIS) were used to produce and analysis the land use maps and least square method was functioned to identify the trend of land use change in the study areas. The images were analyzed using unsupervised classification approach in ILWIS 4.1 environment. The present study expressed the experiences of unplanned land use change in Dhaka city. And it is found that the study area follows the pattern of urbanization without planned development. Consequently, the pattern of unplanned land use change in Dhaka city will make it a haphazard city in World.DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22217 J. Environ. Sci. & Natural Resources, 7(2): 105-109 2014

scholarly journals Environmental Monitoring at and around the Matuail Landfill Site of Dhaka City using Remote Sensing

2022 ◽  
Vol 12 (3) ◽  
pp. 127-138
Author(s):  
Md Sayeduzzaman Sarker ◽  
Umma Rafia Shoily ◽  
Nokibul Alam Chowdhury ◽  
Rafsun Ahmad ◽  
Afzal Ahmed
Keyword(s):  
Remote Sensing ◽  
Environmental Monitoring ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Harmful Effect ◽  
Bare Soil ◽  
Landfill Site ◽  
Dhaka City ◽  
Structural Object

Rapid urban population growth and flourishing incomes have increased waste production in Dhaka city. A part of daily produced Municipal Solid Waste (MSW) is disposed of at Matuail sanitary landfill located within Jatrabari Thana, Dhaka. This study has analyzed the environmental impacts at and around this landfill using remote sensing techniques. The objective of this research is to develop a means of environmental monitoring at the landfill site and its surroundings through the implementation of various time-series remote sensing indices e.g., Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Modified Soil Adjusted Vegetation Index (MSAVI). LST is used to observe the Spatio-temporal pattern of temperature distribution. NDVI, SAVI, and MSAVI are the Bio-indicators and they are helpful to analyze the vegetation health condition at and around the landfill area. From the result of LST, it is observed that the average temperature of the Jatrabarithana has increased from 23.12℃ in 1993 to an optimum temperature of 35.20℃ in 2013, then it went down to 29.09℃ in 2018. The NDVI result for the study period shows that the percentages of ‘Bare Soil’ and ‘Structural Object’ have increased drastically from 10% to 41.20% and 13.30% to 31.52% respectively for these 25 years in Jatrabarithana. On the other hand, the percentages of ‘Shrub and Grassland’ and ‘Moderate Vegetation’ have decreased from 54.20% to 25.15% and 12.55% to 0% respectively. SAVI and MSAVI also show evidence of increasing the amount of bare soil and structural object and decreasing the amount of vegetation. Due to the waste stabilization process, and inappropriate management system at the Matuail landfill, along with urbanization, industrial activity, and deforestation, a harmful effect has been done to the surrounding environment. As an outcome, the temperature has risen rapidly and the amount of vegetation has declined to a significant extent. Journal of Engineering Science 12(3), 2021, 127-138

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