Abstract
Rapid transformation of land use in and around major urban centers of the world has triggered a definitive change in the urban built environment. One of the consequences of this transformation is the increase in land surface temperatures (LST) in the urban areas. Nashik city also presents a peculiar case of growth in its built-up area. The present study aims at assessing the changes in land use land cover (LULC) and LST over Nashik city. This study was carried out for a period of nine years (2010–2018). Landsat ETM+ and OLI/TIRS data sets were employed to extract LULC, NDVI and LST. Changes in normalized difference vegetation index (NDVI) have also been investigated since the vegetation affects temperature. It has been observed that during the period of nine years, the built-up area increased 1.7 times and the LST increased by 2–3 °C in the city core, particularly during summer. This indicates the intensification of LST in the city core. The adjoining areas also present, more or less, a similar pattern due to the increase in the built-up area. Vegetation in the eastern part of the city has discernibly reduced to a considerable extent, which has also altered the thermal pattern of the city. A strong negative correlation is observed between the built-up areas and the LST over Nashik.
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References
Barbieri, T., Despini, F., Teggi, S.: A multitemporal analyses of land surface temperature using landsat 8 data and open source software: the case study of Modena, Italy. Sustainability 10, 1678 (2018)
Becker, F., Li, Z.L.: Surface temperature and emissivity at various scales: definition, measurement and related problems. Remote Sens. Rev. 12(3–4), 225–253 (1995)
Carlson, T.N., Gillies, R.R., Schmugge, T.J.: An interpretation of methodologies for indirect measurement of soil water content and fractional vegetation cover. Agric. For. Meteorol. 77, 191–205 (1995)
Jiménez‐Muñoz, J.C., Sobrino, J.A.: A generalized single‐channel method for retrieving land surface temperature from remote sensing data. J. Geophys. Res. Atmos. 108(D22) (2003)
Landsberg, H.E.: The Urban Climate. Academic Press, New York (1981)
Li, S., Zhao, Z., Miaomiao, X., Wang, Y.: Investigating spatial non-stationary and scale-dependent relationships between urban surface temperature and environmental factors using geographically weighted regression. Environ. Model. Softw. 25(12), 1789–1800 (2010)
Qin, Z., Karnieli, A., Berliner, P.: 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(18), 3719–3746 (2001)
Streutker, D.R.: A remote sensing study of the urban heat island of Houston, Texas. Int. J. Remote Sens. 23(13), 2595−2608 (2002)
Weng, Q.: A remote sensing and GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. Int. J. Remote Sens. 22(10), 1999–2014 (2001)
**ao, R., Weng, Q., Ouyang, Z., Li, W., Schienke, E.W., Zhang, Z.: Land surface temperature variation and major factors in Bei**g, China. Photogram. Eng. Remote Sens. 74(4), 451–461 (2008)
Yuan, F., Bauer, M.E.: Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery. Remote Sens. Environ. 106, 375–386 (2007)
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Dhorde, A., Deka, S. (2022). Changes in Land Use and Land Surface Temperature Over Nashik City, MS, India. In: El-Askary, H., Erguler, Z.A., Karakus, M., Chaminé, H.I. (eds) Research Developments in Geotechnics, Geo-Informatics and Remote Sensing. CAJG 2019. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-72896-0_90
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