References
- Alexander, C (2020). Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST). Int J Appl Earth Obs Geoinf 86: 102013. https://doi.org/10.1016/j.jag.2019.102013
- Artis, D.A., Carnahan, W.H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sens Environ 12(4), 313–329.
- Ayanlade, A. (2016). Seasonality in the daytime and night-time intensity of land surface temperature in a tropical city area. Sci Total Environ 557–558: 415–424. https://doi.org/10.1016/j.scitotenv.2016.03.027
- Balew, A., Korme, T. (2020). Monitoring land surface temperature in Bahir Dar city and its surrounding using Landsat images. Egypt J Remote Sens Space Sci 23(3): 371-386. https://doi.org/10.1016/j.ejrs.2020.02.001.
- Carlson, T.N., Ripley, D.A. (1997). On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index. Remote Sens Environ 62: 241-252. https://doi.org/10.1016/S0034-4257(97)00104-1
- Deilami, K., Kamruzzaman, M., Liu, Y. (2018). Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures. Int J Appl Earth Obs Geoinf 67: 30-42. https://doi.org/10.1016/j.jag.2017.12.009
- Derdouri, A., Wang, R., Murayama, Y., Osaragi, T. (2021). Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001–2020). Remote Sens 13(18): 3654. https://doi.org/10.3390/rs13183654
- Dutta, D., Gupta, S., Kishtawal, C.M. (2020). Linking LULC change with urban heat islands over 25 years: a case study of the urban-industrial city Durgapur, Eastern India. J Spat Sci 65(3): 501-518. https://doi.org/10.1080/14498596.2018.1537198
- Feyisa, G.L., Meilby, H., Jenerette, G.D., Pauliet, S. (2016). Locally optimized separability enhancement indices for urban land cover mapping: Exploring thermal environmental consequences of rapid urbanization in Addis Ababa, Ethiopia. Remote Sens Environ 175: 14-31. https://doi.org/10.1016/j.rse.2015.12.026
- Guha, S., Govil, H. (2021). A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices. European Journal of Remote Sensing. 54(1): 487-512. https://doi.org/10.1080/22797254.2021.1965496
- Guha, S., Govil, H. (2022). Annual assessment on the relationship between land surface temperature and six remote sensing indices using Landsat data from 1988 to 2019. Geocarto International. 37(15): 4292-4311. https://doi.org/10.1080/10106049.2021.1886339
- Guha, S., Govil, H., Taloor, A.K., Gill, N., Dey, A. (2022). Land surface temperature and spectral indices: A seasonal study of Raipur City. Geodesy and Geodynamics. 13(1): 72-82. https://doi.org/10.1016/j.geog.2021.05.002
- Kalota, D. (2017). Exploring relation of land surface temperature with selected variables using geographically weighted regression and ordinary least square methods in Manipur State, India. Geocarto Int 32(10): 1105-1119. https://doi.org/10.1080/10106049.2016.1195883
- Karakuş, C.B. (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-Pacific J Atmos Sci 55: 669–684. https://doi.org/10.1007/s13143-019-00109-w
- Kundu, S., Khare, D., Mondal, A., Mishra, P.K. (2015). Analysis of spatial and temporal variation in rainfall trend of Madhya Pradesh, India (1901–2011). Environ Earth Sci 73: 8197-8216.
- Kundu, S., Mondal, A., Khare, D., Hain, C., Lakshmi, V. (2018). Projecting climate and land use change impacts on actual evapotranspiration for the Narmada River basin in central India in the future. Remote Sens 10(4): 578.
- Mondal, A., Guha, S., Kundu, S. (2021). Dynamic status of land surface temperature and spectral indices in Imphal city, India from 1991 to 2021. Geomatics, Natural Hazards and Risk. 12(1): 3265-3286. https://doi.org/10.1080/19475705.2021.2008023
- Mondal, A., Khare, D., Kundu, S. (2016a). Impact assessment of climate change on future soil erosion and SOC loss. Nat Haz 82: 1515-1539.
- Mondal, A., Khare, D., Kundu, S. (2016b). Change in rainfall erosivity in the past and future due to climate change in the central part of India. Int Soil Water Conserv Res 4 (3): 186–194.
- Mondal, A., Khare, D., Kundu, S. (2015). Spatial and temporal analysis of rainfall and temperature trend of India. Theor appl climatol 122: 143-158.
- Mondal, A., Lakshmi, V., Hashemi, H. (2018). Intercomparison of trend analysis of multisatellite monthly precipitation products and gauge measurements for river basins of India. J Hydrol 565: 779-790.
- Mushore, T.D., Mutanga, O., Odindi, J. (2022). Estimating urban LST using multiple remotely sensed spectral indices and elevation retrievals, Sustain Cities Soc 78: 103623. https://doi.org/10.1016/j.scs.2021.103623
- Pandey, A., Mondal, A., Guha, S., Upadhyay, P.K., Rashmi, (2022a). A Seasonal investigation on land surface temperature and spectral indices in Imphal city, India. J Landsc Ecol 15(3): 1-18. https://doi.org/10.2478/jlecol-2022-0015
- Pandey, A., Mondal, A., Guha, S., Upadhyay, P.K., Rashmi, Kundu, S. (2023a). Analysis of Spectral Indices-Based Downscaled Land Surface Temperature in a humid subtropical city. Int J Image Data Fusion. https://doi.org/10.1080/19479832.2023.2252818
- Pandey, A., Mondal, A., Guha, S., Upadhyay, P.K., Singh, D. (2022b). Land use status and its impact on land surface temperature in Imphal city, India. Geol Ecol Landsc. http://dx.doi.org/10.1080/24749508.2022.2131962
- Pandey, A., Mondal, A., Guha, S., Upadhyay, P.K., Singh, D. (2023b). A long-term analysis of the dependency of land surface temperature on land surface indices. Papers Appl Geog 9(3): 279-294. https://doi.org/10.1080/23754931.2023.2187314
- Peng, J., Xie, P., Liu, Y., Ma, J. (2016). Urban Thermal Environment Dynamics and Associated Landscape Pattern Factors: A Case Study in the Beijing Metropolitan Region. Remote Sens Environ 173: 145–155.
- Sobrino, J.A., Raissouni, N., Li, Z. (2001). A comparative study of land surface emissivity retrieval from NOAA data. Remote Sens Environ 75(2): 256–266. https://doi.org/10.1016/S0034-4257(00)00171-1
- Sobrino, J.A., Jimenez-Munoz, J.C., Paolini, L. (2004). Land surface temperature retrieval from Landsat TM5. Remote Sens Environ 9: 434–440. https://doi:10.1016/j.rse.2004.02.003
- Tran, D.X., Pla, F., Latorre-Carmona, P., Myint, S.W., Caetano, M., Kieu, H.V. (2017). Characterizing the Relationship Between Land Use Land Cover Change and Land Surface Temperature. ISPRS J Photogramm Sens 124: 119–132.
- Weng, Q.H., Lu, D.S., Schubring, J. (2004). Estimation of Land Surface Temperature–Vegetation Abundance Rela-tionship for Urban Heat Island Studies. Remote Sens Environ 89: 467-483. https://doi:10.1016/j.rse.2003.11.005
- Wiesner, S., Bechtel, B., Fischereit, J., Gruetzun, V., Hoffmann, P., Leitl, B., Rechid, D., Schlünzen, K.H., Thomsen, S. (2018). Is It Possible to Distinguish Global and Regional Climate Change from Urban Land Cover Induced Signals? A Mid-Latitude City Example. Urban Sci 2(1):12. https://doi.org/10.3390/urbansci2010012
- Zhao, M., Cai, H., Qiao, Z., Xu, X. (2016). Influence of urban expansion on the urban heat island effect in Shanghai. Int J Geogr Inf Sci 30(12): 2421–2441. https://doi.org/10.1080/13658816.2016.1178389
- Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., Sobrino, J.A. (2019). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sens 11: 48.
- - https://www.ceicdata.com/en/india/census-population-by-towns-and-urban-agglomerations
- - http://earthexplorer.usgs.gov/
- - https://earth.google.com/web/
- - https://imc.mn.gov.in/
- - https://mausam.imd.gov.in/