Environmental quality evaluation in Dhaka City Corporation – using satellite imagery

Rahman, M. M.; Rahman, Mizanur; Momotaz,

doi:10.1680/jurdp.17.00032

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…Further, as Thapa and Murayama [86], and Ramaiah and Avtar [87] suggest, green areas must be considered. As reported from Dhaka [88], with the percent share of urban green areas getting reduced due to unplanned urban activities and weak land-use zoning regulations, Tumkur city needs a sound urban green space management strategy.…”

Section: Discussionmentioning

confidence: 99%

Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices

Ramaiah

Avtar

Rahman

2020

Land

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Elucidating the impact of Land Surface Temperature (LST) is an important aspect of urban studies. The impact of urbanization on LST has been widely studied to monitor the Urban Heat Island (UHI) phenomenon. However, the sensitivity of various urban factors such as urban green spaces (UGS), built-up area, and water bodies to LST is not sufficiently resolved for many urban settlements. By using remote sensing techniques, this study aimed to quantify the influence of urban factors on LST in the two traditional cities (i) Panaji and (ii) Tumkur of India, proposed to be developed as smart cities. Landsat data were used to extract thematic and statistical information about urban factors using the Enhanced Built-up and Bareness Index (EBBI), Modified Normalized Difference Water Index (MNDWI), and Soil Adjusted Vegetation Index (SAVI). The multivariate regression model revealed that the value of adjusted R2 was 0.716 with a standard error of 1.97 for Tumkur city, while it was 0.698 with a standard error of 1.407 for Panaji city. The non-parametric correlation test brought out a strong negative correlation between MNDWI and LST with a value of 0.83 for Panaji, and between SAVI and LST with a value of 0.77 for Tumkur. The maximum percentage share of cooling surfaces are water bodies in Panaji with 35% coverage and green spaces in Tumkur with 25% coverage. Apparently, the UGS and water bodies can help in bringing down the LST, as well as facilitating healthy living conditions and aesthetic appeal. Therefore, the significance of ecosystem services (green spaces and water bodies) should be given priority in the decision-making process of sustainable and vibrant city development.

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Section: Discussionmentioning

confidence: 99%

Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices

Ramaiah

Avtar

Rahman

2020

Land

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“…Urbanization coupled with global climate warming will likely enhance heatassociated mortality events [86]. A normal urban district in Bangladesh is characterized by few tree plantations and highly scattered vegetated areas [87]. Tree coverage might be of aid in enhancing cooling activities.…”

Section: Possible Implication and Limitation Of The Studymentioning

confidence: 99%

Impact of Urbanization on Urban Heat Island Intensity in Major Districts of Bangladesh Using Remote Sensing and Geo-Spatial Tools

Rahman

Rony

Jannat

et al. 2022

Climate

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Urbanization is closely associated with land use land cover (LULC) changes that correspond to land surface temperature (LST) variation and urban heat island (UHI) intensity. Major districts of Bangladesh have a large population base and commonly lack the resources to manage fast urbanization effects, so any rise in urban temperature influences the population both directly and indirectly. However, little is known about the impact of rapid urbanization on UHI intensity variations during the winter dry period in the major districts of Bangladesh. To this end, we aim to quantify spatiotemporal associations of UHI intensity during the winter period between 2000 and 2019 using remote-sensing and geo-spatial tools. Landsat-8 and Landsat-5 imageries of these major districts during the dry winter period from 2000 to 2020 were used for this purpose, with overall precision varying from 81% to 93%. The results of LULC classification and LST estimation showed the existence of multiple UHIs in all major districts, which showed upward trends, except for the Rajshahi and Rangpur districts. A substantial increase in urban expansion was observed in Barisal > 32%, Mymensingh > 18%, Dhaka > 17%, Chattogram > 14%, and Rangpur > 13%, while a significant decrease in built-up areas was noticed in Sylhet < −1.45% and Rajshahi < −3.72%. We found that large districts have greater UHIs than small districts. High UHI intensities were observed in Mymensingh > 10 °C, Chattogram > 9 °C, and Barisal > 8 °C compared to other districts due to dense population and unplanned urbanization. We identified higher LST (hotspots) zones in all districts to be increased with the urban expansion and bare land. The suburbanized strategy should prioritize the restraint of the high intensity of UHIs. A heterogeneous increase in UHI intensity over all seven districts was found, which might have potential implications for regional climate change. Our study findings will enable policymakers to reduce UHI and the climate change effect in the concerned districts.

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Does building development in Dhaka comply with land use zoning? An analysis using nighttime light and digital building heights

et al. 2021

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Zoning is an important tool to regulate the use of land, characterize built form over land, and thus facilitate urban sustainability. Availability of reliable data is crucial for monitoring land use zoning, which contributes directly to the success of Sustainable Development Goals (SDGs) in general and SDG Goal 11 for sustainable cities and communities in particular.However, obtaining this valuable information using traditional survey methods is both costly and time-consuming. Remote sensing technology overcomes these challenges and supports urban policymaking and planning processes. This study unveils a novel approach to developing a cost-effective method for identifying building types using Sentinel-2A, Visible Infrared Imaging Radiometer Suite (VIIRS)-based nighttime light (NTL) data, and TanDEM-X-based Digital Surface Model (DSM) data. The newly developed Normalized Difference Steel Structure Index (NDSSI) is useful for rapidly mapping industrial buildings with steel structures.The implementation status of Dhaka's existing land use plan was evaluated by analyzing the spatial distribution of different types of building uses. This study classifies residential, commercial, and industrial buildings within Dhaka using building height, and nighttime light 2 emission. The experimental results reveal that about 67% of commercial and 51% of industrial buildings within the Dhaka Metropolitan Area (DMA) do not comply with the land use zoning by the Detailed Area Plan (DAP). It also reveals that approximately 10% of commercial buildings, 9% of industrial buildings, and 6% of residential buildings have encroached upon conservation zones (such as open space, flood prone zone, water bodies and proposed areas for future road extension). A major constraint in the study was the low spatial resolution of the nighttime lights dataset, which made it difficult to distinguish individual sources of light. Still, the methodological approaches proposed in this study are expected to promote reduced costs and efficacious decision-making in urban transformation and to help achieving SDG 11, especially in developing countries.

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Environmental quality evaluation in Dhaka City Corporation – using satellite imagery

Cited by 6 publications

References 27 publications

Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices

Land Cover Influences on LST in Two Proposed Smart Cities of India: Comparative Analysis Using Spectral Indices

Impact of Urbanization on Urban Heat Island Intensity in Major Districts of Bangladesh Using Remote Sensing and Geo-Spatial Tools

Does building development in Dhaka comply with land use zoning? An analysis using nighttime light and digital building heights

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