Assessment of spatiotemporal distribution pattern of land surface temperature with incessant urban sprawl over Khulna and Rajshahi City Corporations

Environmental Challenges - Tập 9 - Trang 100644 - 2022
G.N. Tanjina Hasnat1
1Institute of Forestry and Environmental Sciences Chittagong University, University of Chittagong, Chattogram-4331, Bangladesh

Tài liệu tham khảo

Abbasi, 2021, How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach, Energy, 221, 10.1016/j.energy.2021.119793 Al Rakib, 2020, Analyzing the pattern of land use land cover change and its impact on land surface temperature: a remote sensing approach in Mymensingh, Bangladesh Al-Ghussain, 2019, Global warming: review on driving forces and mitigation, Environ. Prog. Sustain. Energy., 38, 13, 10.1002/ep.13041 Arshad, 2022, Quantifying the contribution of diminishing green spaces and urban sprawl to urban heat island effect in a rapidly urbanizing metropolitan city of Pakistan, Land Use Policy, 113, 10.1016/j.landusepol.2021.105874 Banglapedia. (2021). Khulna City Corporation. National Encyclopedia of Bangladesh. Link: https://en.banglapedia.org/index.php/Khulna_City_Corporation. Viewed on 20.01.2022 Banglapedia. (2021). Rajshahi City Corporation. National Encyclopedia of Bangladesh. Link: https://en.banglapedia.org/index.php/Rajshahi_City_Corporation. Viewed on 20.01.2022 BBS. (2013). District Statistics 2011, Khulna. Bangladesh Bureau of Statistics, Statistics and Informatics Division (SID), Ministry of Planning, Government of The People's Republic of Bangladesh, Parishankhan Bhaban E-27/A, Agargaon, Dhaka-1207. www.bbs.gov.bd. BBS. (2013). District Statistics 2011, Rajshahi. Bangladesh Bureau of Statistics (BBS), Statistics and Informatics Division (SID), Ministry of Planning, Government of the People's Republic of Bangladesh, Parishankhan Bhaban E-27/A, Agargaon, Dhaka-1207. www.bbs.gov.bd. Bhat, 2017, Urban sprawl and its impact on landuse/land cover dynamics of Dehradun City, India, Int. J. Sustain. Built Environ., 6, 513, 10.1016/j.ijsbe.2017.10.003 Chughtai, 2021, A review on change detection method and accuracy assessment for land use land cover, Remote Sens. Appl., 22 Clemett, A., Amin, M.M., Ara, A. and Akan, M.M.R. (2006). Background information for Rajshahi City, Bangladesh. WASPA Asia Project Report 2. 54. Cobbinah, 2012, Urban sprawl and the loss of peri-urban land in Kumasi, Ghana, Int. J. Soc. Hum. Sci., 6, 388 Cotlier, 2022, The extreme heat wave over Western North America in 2021: an assessment by means of land surface temperature, Remote Sens., 14, 561, 10.3390/rs14030561 Das, 2020, Land use-land cover (LULC) transformation and its relation with land surface temperature changes: a case study of Barrackpore Subdivision, West Bengal, India, Remote Sens. Appl., 19 Dissanayake, 2020, Land use change and its impacts on land surface temperature in Galle City, Sri Lanka, Climate, 8, 65, 10.3390/cli8050065 Ebrahimi, 2022, Investigating the land surface temperature reaction to the land cover patterns during three decades using landsat data, Int. J. Environ. Sci. Technol., 19, 159, 10.1007/s13762-021-03294-2 Fatemi, 2019, Monitoring LULC changes and its impact on the LST and NDVI in District 1 of Shiraz City, Arab. J. Geosci., 12, 1, 10.1007/s12517-019-4259-6 Fattah, 2021, Impacts of land use-based carbon emission pattern on surface temperature dynamics: experience from the urban and suburban areas of Khulna, Bangladesh, Remote Sens. Appl., 22 Fleck, 2022, Urban green roofs to manage rooftop microclimates: a case study from Sydney, Australia, Build. Environ., 209, 10.1016/j.buildenv.2021.108673 Gazi, 2021, Spatio-temporal dynamic land cover changes and their impacts on the urban thermal environment in the Chittagong metropolitan area, Bangladesh, GeoJournal, 86, 2119, 10.1007/s10708-020-10178-4 Ghosh, 2021, Urban ecological security assessment and forecasting using integrated DEMATEL-ANP and CA-Markov models: a case study on Kolkata Metropolitan Area, India, Sustain. Cities Soc., 68, 10.1016/j.scs.2021.102773 Girma, 2022, Land use land cover change modeling by integrating artificial neural network with cellular Automata-Markov chain model in Gidabo river basin, main Ethiopian rift, Environ. Chall., 6 Goldblatt, 2021, Remotely sensed derived land surface temperature (LST) as a proxy for air temperature and thermal comfort at a small geographical scale, Land, 10, 410, 10.3390/land10040410 Gong, 2013, Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data, Int. J. Remote Sens., 34, 2607, 10.1080/01431161.2012.748992 Grimm, 2008, Global change and the ecology of cities, Science, 319, 756, 10.1126/science.1150195 Guan, 2020, Does the urban sprawl matter in Yangtze River Economic Belt, China? An integrated analysis with urban sprawl index and one scenario analysis model, Cities, 99, 10.1016/j.cities.2020.102611 Guha, 2021, Annual assessment on the relationship between land surface temperature and six remote sensing indices using Landsat data from 1988 to 2019, Geocarto Int., 1 Gwet, 2021, Large-sample variance of fleiss generalized Kappa, Educ. Psychol. Meas., 81, 781, 10.1177/0013164420973080 Habib, 2021, Municipal solid waste management and waste-to-energy potential from Rajshahi City Corporation in Bangladesh, Appl. Sci., 11, 3744, 10.3390/app11093744 Halder, 2014, Municipal solid waste and its management in Rajshahi City, Bangladesh: a source of energy, Int. J. Renew. Energy Res. (IJRER), 4, 168 Haque, 2020, Geospatial monitoring on land surface temperature and vegetation dynamics: a case of a city area in Khulna, Bangladesh, Trends Undergrad. Res., 3, a35, 10.33736/tur.2172.2020 Hass, 2016, Heat and humidity in the city: neighborhood heat index variability in a mid-sized city in the southeastern United States, Int. J. Environ. Res. Public Health, 13, 117, 10.3390/ijerph13010117 Hua, 2018, The influence of land-use/land-cover changes on land surface temperature: a case study of Kuala Lumpur metropolitan city, Eur. J. Remote Sens., 51, 1049, 10.1080/22797254.2018.1542976 Huang, 2021, Landscape pattern and ecological network structure in urban green space planning: a case study of Fuzhou city, Land, 10, 769, 10.3390/land10080769 Hussain, 2022, Applications of remote sensing and GIS in hydrological and hydrogeological studies: integrated watershed management, 237 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 Islam, 2013, Application of thermal infrared remote sensing to explore the relationship between land use-land cover changes and urban heat Island effect: a case study of Khulna City, J. Bangladesh Inst. Plan., 2075, 9363 Jamali, 2022, Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni, J. Environ. Manag., 302, 10.1016/j.jenvman.2021.113970 Jesdale, 2013, The racial/ethnic distribution of heat risk–related land cover in relation to residential segregation, Environ. Health Perspect., 121, 811, 10.1289/ehp.1205919 Jiang, 2021, A comparative analysis of retrieval algorithms of land surface temperature from Landsat-8 data: a case study of Shanghai, China, Int. J. Environ. Res. Public Health, 18, 5659, 10.3390/ijerph18115659 Kafy, 2021, The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh, Appl. Geomat., 13, 793, 10.1007/s12518-021-00390-3 Kafy, 2021, Monitoring the effects of vegetation cover losses on land surface temperature dynamics using geospatial approach in Rajshahi city, Bangladesh, Environ. Chall., 4 Kafy, 2019, Impact of LULC changes on LST in Rajshahi district of Bangladesh: a remote sensing approach, J. Geogr. Stud., 3, 11, 10.21523/gcj5.19030102 Kafy, 2021, Remote sensing-based approach to identify the influence of land use/land cover change on the urban thermal environment: a case study in Chattogram City, Bangladesh, 217 Kafy, 2020, Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh, Remote Sens. Appl., 18 Karakuş, 2019, The impact of land use/land cover (LULC) changes on land surface temperature in Sivas City Center and its surroundings and assessment of Urban Heat Island, Asia-Pac. J. Atmos. Sci., 55, 669, 10.1007/s13143-019-00109-w KCC 2022. Khulna City Corporation. Official Website of Khulna City Corporation. Link: http://www.khulnacity.org/Content/index.php?page=About_KCC&a2M&pid=30. Viewed on: 20.01.2022 Khan, 2014, Population growth and its impact on urban expansion: a case study of Bahawalpur, Pakistan, Univers. J. Geosci., 2, 229, 10.13189/ujg.2014.020801 Kraemer, 2014, 1 Lambin, 2001, The causes of land-use and land-cover change: moving beyond the myths, Glob. Environ. Chang., 11, 261, 10.1016/S0959-3780(01)00007-3 LGED. (2022). About Rajshahi. Local Government Engineering Department https://oldweb.lged.gov.bd/DistrictLGED.aspx?DistrictID=48. Viewed on Viewed on 20.01.2022 Li, 2013, Satellite-derived land surface temperature: current status and perspectives, Remote Sens. Environ., 131, 14, 10.1016/j.rse.2012.12.008 Lin, 2015, The future of urban agriculture and biodiversity-ecosystem services: challenges and next steps, Basic Appl. Ecol., 16, 189, 10.1016/j.baae.2015.01.005 Lityński, 2020, Urban sprawl risk delimitation: the concept for spatial planning policy in Poland, Sustainability, 12, 2637, 10.3390/su12072637 Ma, 2017, A review of supervised object-based land-cover image classification, ISPRS J. Photogramm. Remote Sens., 130, 277, 10.1016/j.isprsjprs.2017.06.001 Marando, 2022, Urban heat island mitigation by green infrastructure in European Functional Urban Areas, Sustain. Cities Soc., 77, 10.1016/j.scs.2021.103564 Maxwell, 2021, Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 1: literature review, Remote Sens., 13, 2450, 10.3390/rs13132450 Milesi, 2003, Assessing the impact of urban land development on net primary productivity in the southeastern United States, Remote Sens. Environ., 86, 401, 10.1016/S0034-4257(03)00081-6 Morshed, 2020, Surface temperature dynamics in response to land cover transformation, J. Civ. Eng. Sci. Technol., 11, 94, 10.33736/jcest.2616.2020 Mumtaz, 2020, Modeling spatio-temporal land transformation and its associated impacts on land surface temperature (LST), Remote Sens., 12, 2987, 10.3390/rs12182987 Murtaza, M.G. (2007). 'A Safe City is a Just City-The Context of Khulna City', paperpresented in world habitant day-2007, organized by Khulna Development Authority(KDA), Khulna, Bangladesh. Nanda, 2021, COVID-19 lockdowns induced land surface temperature variability in mega urban agglomerations in India, Environ. Sci. Process. Impacts, 23, 144, 10.1039/D0EM00358A NourEldeen, 2020, Analysis of the spatiotemporal change in land surface temperature for a long-term sequence in Africa (2003–2017), Remote Sens., 12, 488, 10.3390/rs12030488 Pal, 2017, Detection of land use and land cover change and land surface temperature in English Bazar urban centre, Egypt. J. Remote Sens. Space Sci., 20, 125 PTI, 2020. Delhi aims at 25% green cover in next three years. 27th August 2020. https://www.livemint.com/news/india/delhi-aims-at-25-green-cover-in-next-three-years-11598532109445.html. Viewed on 25.01.2022. Pu, 2021, Using Google earth engine to assess temporal and spatial changes in river geomorphology and riparian vegetation, J. Am. Water Resour. Assoc., 57, 789, 10.1111/1752-1688.12950 Qin, 2001, A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region, Int. J. Remote Sens., 22, 3719, 10.1080/01431160010006971 Rao, 2021, Effect of urban growth pattern on land surface temperature in China: a multi-scale landscape analysis of 338 cities, Land Use Policy, 103, 10.1016/j.landusepol.2021.105314 Rehman, 2022, Land-use/land cover changes contribute to land surface temperature: a case study of the upper Indus Basin of Pakistan, Sustainability, 14, 934, 10.3390/su14020934 Richards, 2019, Global changes in urban vegetation cover, Remote Sens., 12, 23, 10.3390/rs12010023 Robbiati, 2022, Vegetative and thermal performance of an extensive vegetated roof located in the urban heat island of a semiarid region, Build. Environ., 10.1016/j.buildenv.2022.108791 Ruszczyk, 2021, Contextualizing the COVID-19 pandemic's impact on food security in two small cities in Bangladesh, Environ. Urban, 33, 239, 10.1177/0956247820965156 Saha, 2021, Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India, Remote Sens. Appl., 22 Sekertekin, 2019, Validation of physical radiative transfer equation-based land surface temperature using Landsat 8 satellite imagery and SURFRAD in-situ measurements, J. Atmos. Sol. Terr. Phys., 196, 10.1016/j.jastp.2019.105161 Shahfahad, 2022, Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city, Urban Clim., 41, 10.1016/j.uclim.2021.101052 Shetty, 2021, Assessing the effect of training sampling design on the performance of machine learning classifiers for land cover mapping using multi-temporal remote sensing data and google earth engine, Remote Sens., 13, 1433, 10.3390/rs13081433 Showqi, 2014, Land use land cover dynamics as a function of changing demography and hydrology, GeoJournal, 79, 297, 10.1007/s10708-013-9494-x Silva López, 2022, Analytic Hierarchy Process (AHP) for a landfill site selection in Chachapoyas and Huancas (NW Peru): modeling in a GIS-RS environment, Adv. Civ. Eng., 2022 Sohl, 2012, Spatially explicit land-use and land-cover scenarios for the Great Plains of the United States, Agric. Ecosyst. Environ., 153, 1, 10.1016/j.agee.2012.02.019 Tan, 2010, Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia, Environ. Earth Sci., 60, 1509, 10.1007/s12665-009-0286-z Tateishi, 2011, Production of global land cover data–GLCNMO, Int. J. Digit. Earth, 4, 22, 10.1080/17538941003777521 Traore, 2021, Assessment of land use/land cover changes and their impacts on land surface temperature in Bangui (the capital of Central African Republic), Environ. Chall., 4 Trotter, 2017, Effects of rapid urbanisation on the urban thermal environment between 1990 and 2011 in Dhaka Megacity, Bangladesh, AIMS Environ. Sci., 4, 145, 10.3934/environsci.2017.1.145 Ullah, 2020, Analysis of urban expansion and its impacts on Land surface temperature and vegetation using RS and GIS, a case study in Xi'an City, China, Earth Syst. Environ., 4, 583, 10.1007/s41748-020-00166-6 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 Vani, 2020, Assessment of spatio-temporal changes in land use and land cover, urban sprawl, and land surface temperature in and around Vijayawada city, India, Environ. Dev. Sustain., 22, 3079, 10.1007/s10668-019-00335-2 Viana, 2019, Land use/land cover change detection and urban sprawl analysis, 621 Vlassova, 2014, Analysis of the relationship between land surface temperature and wildfire severity in a series of landsat images, Remote Sens., 6, 6136, 10.3390/rs6076136 Wang, 2015, An improved mono-window algorithm for land surface temperature retrieval from Landsat 8 thermal infrared sensor data, Remote Sens., 7, 4268, 10.3390/rs70404268 Wang, 2017, ISPRS Int. J. Geo-Inf., 6, 68, 10.3390/ijgi6030068 Wang, 2019, Comparison of three algorithms for the retrieval of land surface temperature from Landsat 8 images, Sensors, 19, 5049, 10.3390/s19225049 Wang, 2018, A practical single-channel algorithm for land surface temperature retrieval: application to landsat series data, J. Geophys. Res., 124, 299, 10.1029/2018JD029330 Weih, 2010, Object-based classification vs. pixel-based classification: comparative importance of multi-resolution imagery, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 38, C7 White, 2014, The Landsat observation record of Canada: 1972–2012, Can. J. Remote Sens., 39, 455, 10.5589/m13-053 Williams, 2006, Landsat, Photogramm. Eng. Remote Sens., 72, 1171, 10.14358/PERS.72.10.1171 Wulder, 2019, Current status of Landsat program, science, and applications, Remote Sens. Environ., 225, 127, 10.1016/j.rse.2019.02.015 Yadav, 2017, Study of intra-city urban heat island intensity and its influence on atmospheric chemistry and energy consumption in Delhi, Sustain. Cities Soc., 32, 202, 10.1016/j.scs.2017.04.003 Yu, 2014, Land surface temperature retrieval from Landsat 8 TIRS-comparison between radiative transfer equation-based method, split window algorithm and single channel method, Remote Sens., 6, 9829, 10.3390/rs6109829 Zhang, 2013, Assessment of land surface temperature in relation to landscape metrics and fractional vegetation cover in an urban/peri-urban region using Landsat data, Int. J. Remote Sens., 34, 168, 10.1080/01431161.2012.712227 Zhang, 2016, Validation of the generalized single-channel algorithm using Landsat 8 imagery and SURFRAD ground measurements, Remote Sens. Lett., 7, 810, 10.1080/2150704X.2016.1190475 Zhu, 2022, Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery, ISPRS J. Photogramm. Remote Sens., 184, 63, 10.1016/j.isprsjprs.2021.12.005