Abstract
The Earth's surface has been transformed a lot by various deliberate and inadvertent anthropogenic activities; most profound among them is perhaps the changes in the land-use and land cover (LULC) pattern of any area. It is considered to be responsible for many irreversible changes in the regional heat budget and water balance. Expansion of the built-up area has modified the surface interaction of solar radiation, thereby altering the surface temperature pattern of any region. The present study has been carried out in the Jamuria community development (C.D.) block of West Bengal to examine the relationship between the LULC change and its impact on the rising land surface temperature (LST), using multi-temporal satellite data. Urbanization, industrialization, and mining activity in the study area alter the LULCsignificantly. It seems to be responsible for the general rise in the ambient temperature and microclimatic variation. A definite association has been found to exist between the LST and LULC pattern of the study area. The rise in the LST pattern is considered to be spatially associated with those areas where the intensity of land-use change is maximum. Correlation between them, land use indices like normalized difference vegetation index (NDVI), normalized difference built index (NDBI), etc., and transect profile also confirmed these facts.
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Notes
- 1.
See http://atmcorr.gsfc.nasa.gov for details.
- 2.
See http://landsathandbook.gsfc.nasa.gov/pdfslandsat7_handbook.pdf for details.
- 3.
As 00 in Celsius scale represents 273.15Â k temperature. Hence the resultant imagery shows the land surface temperature in Celsius unit.
References
Ahmed B, Kamruzzaman Md, Zhu X, Rahman S, Choi K (2013) Simulating land cover changes and their impacts on land surface temperature in Dhaka Bangladesh. Remote Sens 5:5969–5998
Ali SB, Patnaik S, Madguni O (2017) Microclimate land surface temperatures across urban land use/ land cover forms. Global J Environ Sci Manage 3(3):231–242
Asmiwyati AR (2016) Impact of land use change on urban surface temperature and urban green space planning; Case Study of the Island of Bali, Indonesia. https://espace.curtin.edu.au/bitstream/handle/20.../242463_Asmiwyati%202016.pdf?. Retrieved 26 Jan 2018
Barsi JA., Barker JL, Schott JR (2003) An Atmospheric correction parameter calculator for a single thermal band earth-Ssensing instrument. Retrieve from https://atmcorr.gsfc.nasa.gov/Barsi_IGARSS03.PDF
Bonfiglio A, Cuomo V, Lanfredi M, Macchiato M (2002) Interfacing NOAA/ANHRR NDVI and soil truth maps for monitoring vegetation phenology at a local scale in a heterogeneous landscape of Southern Italy. Int J Remote Sens 23(20):4181–4195
Bornstein R, Lin Q (2000) Urban heat islands and summertime convective thunderstorms inAtlanta: Three case studies. Atmos Environ 34(3):507–516
Buyantuyev A, Wu J (2010) Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecol 25:17–33
Census of India (2011) District census handbook Barddhaman.
Chatterjee S (2011) Source, Dispersal and Impacts of Airborne Pollutants: A Case Study of Mangalpur Industrial Complex. Raniganj. J Hum Ecol 35(3):195–201
Chatterjee S (2016) Spatio temporal transformation of land and its implication on the economy of asansol Durgapur planning region. Unpublished PhD thesis submitted to Visva Bharati university.
Chavez PS (1996) Image-Based Atmospheric Corrections - Revisited and Improved Photogrammetric Engineering and Remote Sensing, [Falls Church, Va.] American Society of Photogrammetry, 62, 1025–1036
Dhar RB, Chakraborty S, Chattopadhyay R, Sikdar PK (2019) Impact of Land-Use/Land-Cover Change on Land Surface Temperature Using Satellite Data: A Case Study of Rajarhat Block, North 24-Parganas District, West Bengal. J Indian Soc Remote Sens https://doi.org/10.1007/s12524-019-00939-1
Grover A, Singh RB (2015) Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): a Comparative Study of Delhi and Mumbai. Environments 2:125–138
Govind NR, Ramesh H (2019) The impact of spatiotemporal patterns of land use land cover and land surface temperature on an urban cool island: a case study of Bengaluru. Environ Monit Assess 191:283. https://doi.org/10.1007/s10661-019-7440-1
Jalan S, Sharma K (2014) Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur City using satellite data. Int Arch Photogramm Remote Sens Spatial Inform Sci XL-8: 767–772.
Joshi R, Raval H, Pathak M, Prajapati S, Patel A, Singh V, Kalubarme M (2015) Urban heat island characterization and isotherm mapping using geo-informatics technology in Ahmedabad City, Gujarat State India. Int J Geosci 6(3):274–285
Liu L, Zhang Y (2011) Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sens 3:1534–1552
Li L, Tan Y, Ying S, Yu Z, Li Z, Lan H (2014) Impact of land cover and population density on land surface temperature: case study in Wuhan China. J Appl Remote Sens 8. 1117/1.JRS.8.084993
Lo CP, Quattrochi DA, Luvall JC (1997) Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. Int J Remote Sens 18:287–304
Mallick J, Kant Y, Bharath BD (2008) Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J Ind Geophys Union 12(3):131–140
Mallick J, Singh CK, Shashtri S, Rahman A, Mukherjee S (2012) Land surface emissivity retrieval based on moisture index from Landsat TM satellite data over heterogeneous surfaces of Delhi city Int. J Appl Earth Obs Geoinf 19:348–358
Omran EE (2012) Detection of land-use and surface temperature change at different resolutions. J Geogr Inf Syst 2012(4):189–203
Pal S, Ziaul S (2016) Detection of land use and land cover change and land surface temperature in English Bazar urban centre. Egypt J Remote Sens Space Sci. https://www.researchgate.net/publication/ Accessed 12 Sept 2017
Peterson JCK (1910) Bengal District Gazetteer Burdwan. Bengal Secretariat Book Depot, Calcutta
Singh RB, Grover A, Zhan J (2014) Inter-seasonal variations of surface temperature in the urbanized environment of Delhi using landsat thermal data. Energies 7:1811–1828
Sobrino JA, Oltra-Carrió R, Jiménez-Muñoz JC, Julien Y, Sòria G, Franch B, Mattar C (2012) Emissivity mapping over urban areas using a classification-based approach: Application to the Dual-use European Security IR Experiment (DESIREX). Int J Appl Earth Obs Geoinf 18:141–147
Wang X, Guo W, Qiu B, Liu Y, Sun J, & Ding A (2017) Quantifying the contribution of land use change to surface temperature in the lower reaches of the Yangtze River. Atmos Chem Phys 17:4989–4996. http//www.atmos-chem-phys.net/17/4989/2017/ accessed on 12/2/2018
WBPDCL (2019).EIA&EMP for Tara (East) & Tara (West) Opencast Coal Mine Project. Kolkata
Weng Q, Liu H, Lu D (2007) Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States. Urban Ecosyst 10:203–219
Weng Q (2009) Thermal infrared remote sensing for urban climate and environmental studies: methods, applications, and trends (Review article).ISPRS. J Photogramm Remote Sens 64:335–344
Yue W, Xu J, Tan W, Xu L (2007) The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. Int J Remote Sens 28(15):3205–3226
Xiao R, Weng Q, Ouyang Z, Li W, Schienke EW, Zhang W (2008) Land surface temperature variation and major factors in Beijing. China. Photogram Eng Remote Sensing 74(4):451–461
Zha Y, Gao J, Ni S (2003) Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sens 24(3):583–594
Zhao HM, Chen XL (2005) Use of normalized difference bareness index in quickly mapping bare areas from TM/ ETM. In: Proceedings of 2005 IEEE international geosciences and remote sensing symposium, Vol 3, pp. 1666–1668. Seoul, Korea
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Chatterjee, S., Gupta, K. (2022). Urban Heat Island Formation in Relation to Land Transformation: A Study on a Mining Industrial Region of West Bengal. In: Mishra, M., Singh, R.B., Lucena, A.J.d., Chatterjee, S. (eds) Regional Development Planning and Practice. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-5681-1_12
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