Impact of landuse change and urbanization on urban heat island effect in Narayanganj city, Bangladesh: A remote sensing-based estimation
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IPCC, “The fourth assessment report,” Geneva, Switzerland., 2007.
I. Goklany, “Factors affecting environmental impacts: The effect of technology on long-term trends in cropland, air pollution and water-related diseases,” vol. 25, pp. 497–503, Jan. 1996.
Luke Howard, The climate of london: deduced from meteorological observations made in the metropolis, vol. 1. London, 1833.
Oke, 1982, The energetic basis of the urban heat island, Q. J. R. Meteorol. Soc., 108, 1
Weng, 2001, A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China, Int. J. Remote Sens., 22, 1999
Martin, 2015, An alternative method to characterize the surface urban heat island, Int. J. Biometeorol., 59, 849, 10.1007/s00484-014-0902-9
Li, 2013, Satellite-derived land surface temperature: Current status and perspectives, Remote Sens. Environ., 131, 14, 10.1016/j.rse.2012.12.008
Yao, 2021, A robust method for filling the gaps in MODIS and VIIRS land surface temperature data, IEEE Trans. Geosci. Remote Sens., 59, 10738, 10.1109/TGRS.2021.3053284
Sultana, 2018, Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization, Int. J. Remote Sens., 39, 6692, 10.1080/01431161.2018.1466072
Voogt, 2003, Thermal remote sensing of urban climates, Remote Sens. Environ, 86, 370, 10.1016/S0034-4257(03)00079-8
Wang, 2007, Influences of urbanization on surface characteristics as derived from the moderate-resolution imaging spectroradiometer: a case study for the Beijing metropolitan area, J. Geophys. Res. Atmos., 112, 10.1029/2006JD007997
Hamdi, 2008, Sensitivity study of the urban heat island intensity to urban characteristics, Int. J. Climatol., 28, 973, 10.1002/joc.1598
Zhang, 2010, Characterizing urban heat islands of global settlements using MODIS and nighttime lights products, Can. J. Remote Sens., 36, 185, 10.5589/m10-039
Ayanlade, 2016, Seasonality in the daytime and night-time intensity of land surface temperature in a tropical city area, Sci. Total Environ., 415, 10.1016/j.scitotenv.2016.03.027
Mushore, 2017, Linking major shifts in land surface temperatures to long term land use and land cover changes: a case of Harare, Zimbabwe, Urban Clim., 20, 120, 10.1016/j.uclim.2017.04.005
Bai, 2020, Presumed asymptomatic carrier transmission of COVID-19, JAMA, 323, 1406, 10.1001/jama.2020.2565
Singh, 2017, Impact of land use change and urbanization on urban heat island in Lucknow city, Central India. A remote sensing based estimate, Sustain. Cities Soc., 32, 100, 10.1016/j.scs.2017.02.018
Deng, 2016, Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China, Habitat Int, 544, 617
Ho, 2016, A comparison of urban heat islands mapped using skin temperature, air temperature, and apparent temperature (Humidex), for the greater Vancouver area, Sci. Total Environ., 544, 929, 10.1016/j.scitotenv.2015.12.021
Kikon, 2016, Assessment of urban heat islands (UHI) of Noida city, India using multi-temporal satellite data, Sustain. Cities Soc., 22, 19, 10.1016/j.scs.2016.01.005
Sultana, 2020, Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000 –2018 over a sub-tropical Indian city, Sustain. Cities Soc., 52, 10.1016/j.scs.2019.101846
Oke, 1995, The heat island of the urban boundary layer: characteristics, causes and effects BT - wind climate in cities, 81
Rotach, 2005, BUBBLE – an urban boundary layer meteorology project, Theor. Appl. Climatol., 81, 231, 10.1007/s00704-004-0117-9
Roth, 2013, Lebensmittelüberwachung und datenquellen, Lebensmittelsicherheit Lebensmittelüberwachung, 143
Chen, 2006, Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes, Remote Sens. Environ., 104, 133, 10.1016/j.rse.2005.11.016
Sherafati, 2018, Assessment of surface urban heat island in three cities surrounded by different types of land-cover using satellite images, J. Indian Soc. Remote Sens., 46, 1013, 10.1007/s12524-017-0725-3
Kotharkar, 2018, Urban Heat Island studies in South Asia: a critical review, Urban Clim., 24, 1011, 10.1016/j.uclim.2017.12.006
Hong, 2021, Global and regional drivers of land-use emissions in 1961–2017,, Nature, 589, 554, 10.1038/s41586-020-03138-y
Chaudhuri, 2016, Spatio-temporal dynamics of land cover and land surface temperature in Ganges-Brahmaputra delta: a comparative analysis between India and Bangladesh, Appl. Geogr., 68, 68, 10.1016/j.apgeog.2016.01.002
Khan, 2019, Influence of surface water bodies on the land surface temperature of Bangladesh, Sustainability, 11, 6754, 10.3390/su11236754
Tuladhar, 2019, The influence of rainfall and land use/land cover changes on river discharge variability in the mountainous catchment of the Bagmati river, Water, 11, 2444, 10.3390/w11122444
Yohannes, 2021, Impact of landscape pattern changes on hydrological ecosystem services in the Beressa watershed of the blue nile basin in Ethiopia, Sci. Total Environ., 793, 10.1016/j.scitotenv.2021.148559
Imran, 2021, Impact of land cover changes on land surface temperature and human thermal comfort in Dhaka city of Bangladesh, Earth Syst. Environ., 5, 667, 10.1007/s41748-021-00243-4
Dewan, 2012, The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity, 6337
Kalnay, 2003, Impact of urbanization and land-use change on climate, Nature, 423, 528, 10.1038/nature01675
Ullah, 2019, Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the lower Himalayan region, Sustainability, 11, 5492, 10.3390/su11195492
Zha, 2003, Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, Int. J. Remote Sens., 24, 583, 10.1080/01431160304987
Roy, 2020, Examining the nexus between land surface temperature and urban growth in Chattogram Metropolitan area of Bangladesh using long term Landsat series data, Urban Clim., 32, 10.1016/j.uclim.2020.100593
Islam, 2018, Geospatial monitoring of land surface temperature effects on vegetation dynamics in the southeastern region of Bangladesh from 2001 to 2016, ISPRS Int. J. Geo-Inform., 7, 486, 10.3390/ijgi7120486
Al Kafy, 2021, Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh, Remote Sens. Appl. Soc. Environ., 21
Raja, 2021, Spatial distribution of heatwave vulnerability in a coastal city of Bangladesh, Environ. Challenges, 4, 10.1016/j.envc.2021.100122
Dewan, 2021, Surface urban heat island intensity in five major cities of Bangladesh: Patterns, drivers and trends, Sustain. Cities Soc., 71, 10.1016/j.scs.2021.102926
Belenok, 2021, Investigating anthropogenically transformed landscapes with remote sensing, Remote Sens. Appl. Soc. Environ., 24
Noszczyk, 2020, Exploring the land use changes in Eastern Poland: statistics-based modeling, Hum. Ecol. Risk Assess. Int. J., 26, 255, 10.1080/10807039.2018.1506254
Dewan, 2009, Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization, Appl. Geogr., 29, 390, 10.1016/j.apgeog.2008.12.005
Al Kafy, 2020, Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh, Remote Sens. Appl. Soc. Environ., 18
BBS, population & housing census 2011 Zila Report : Narayanganj. Bangladesh Bureau of Statistics (BBS), Statistics and Informatics Division (SID), ministry of planning, 2011.
NCC, “Narayanganj city corporation action area plan,” 2016.
NCC, “Narayanganj city corporation,” 2021. .
Banglapedia, “Season - banglapedia,” 2021. .
NASA, “POWER data access viewer.” 2021.
Climate-Data.org, “Narayanganj climate: average temperature, weather by month, narayanganj weather averages - climate-data.org.” 2021.
G. B. Zhu, X. L. Liu, and Z. G. Jia, “A multi-resolution hierarchy classification study compared with conservative methods,” ISPRS WG II/3, II/6 Work., pp. 79–84, 2006.
Shalaby, 2007, Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt, Appl, Appl. Geogr., 27, 28, 10.1016/j.apgeog.2006.09.004
Roy, 2019, Multi-temporal Land use land cover (LULC) change analysis of a dry semi-arid river basin in western India following a robust multi-sensor satellite image calibration strategy, Heliyon, 5, e01478, 10.1016/j.heliyon.2019.e01478
Abdullah, 2019, Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017, Remote Sens., 11, 790, 10.3390/rs11070790
Foody, 2002, Status of land cover classification accuracy assessment, Remote Sens. Environ., 80, 185, 10.1016/S0034-4257(01)00295-4
Lu, 2007, A survey of image classification methods and techniques for improving classification performance, Int. J. Remote Sens., 28, 823, 10.1080/01431160600746456
Chen, 2020, A new method to improve the accuracy of remotely sensed data for wetland water balance estimates, J. Hydrol. Reg. Stud., 29
Ihlen, 2019, Landsat 7 (L7) data users handbook, USGS Landsat. User Serv., 7, 151
Yong, 2006, Land surface temperature retrieval from cbers-02 irmss thermal infrared data and its applications in quantitative analysis of urban heat island effect, J. Remote Sens., 10, 789
Liu, 2011, Urban heat island analysis using the landsat TM data and ASTER data: a case study in Hong Kong, Remote Sens., 3, 1535, 10.3390/rs3071535
Jiang, 2006, Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sens. Environ., 101, 366, 10.1016/j.rse.2006.01.003
Vani, 2017, Comparative study of NDVI and SAVI vegetation indices in Anantapur district semi-arid areas, Int. J. Civ. Eng. Technol., 8, 559
T. Kshetri, “NDVI, NDBI & NDWI calculation using landsat 7, 8,” Sep. 2018.
May, 2018, Short term changes in moisture content drive strong changes in normalized difference vegetation index and gross primary productivity in four arctic moss communities, Remote Sens. Environ., 212, 10.1016/j.rse.2018.04.041
BEPZ, “Bangladesh export processing zones authority,” 2020. .
Yao, 2019, Greening in rural areas increases the surface urban heat island intensity, Geophys. Res. Lett., 46, 2204, 10.1029/2018GL081816
ICLEI, “URBAN LEDS urban low emission development strategies,” 2020. https://urban-leds.org/countries-cities/bangladesh/#narayanganj (accessed Dec. 11, 2021).
H. Arrighi, J., Burkart, K., Nissan, “Raising awareness on heat related mortality in Bangladesh,” 2017, [Online]. Available: https://ui.adsabs.harvard.edu/abs/2017AGUFMPA12A..06A/abstract.
