References
- Alipour, T., Sarajian, M.R. and Esmaeily, A. (2003). Land Surface Temperature Estimation from Thermal Band of Landsat Sensor, Case Study: Alashtar City. The International Achieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38.
- Amiri, R., Weng, Q., Alimohammadi, A., AlavipanahS. K., (2009). Spatial–temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. Remote Sensing of Environment, 113, 2606-2617.10.1016/j.rse.2009.07.021
- Basara, J.B., Basara, H.G., Illston, B.G., Crawford, K.C. (2010). The impact of the urban heat islands during an intense heat wave in Oklahoma city. Adv. Meterol., doi:10.1155/2010/230365.10.1155/2010/230365
- Bokaie, M., Zarkesh, M.K., Arasteh, P.D., & Hosseini, A. (2016).Assessment of urban heat island based on the relationship between land surface temperature and land use/land cover in Tehran. Sustainable Cities and Society, 23, 94–104. doi:10.1016/j.scs.2016.03.00910.1016/j.scs.2016.03.009
- Connors, J.P., Christopher, S.G., Winston, T.L.C., (2013). Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landscape Ecology, 28: 271–283.
- Chen, X.L., Zhao, H.M., Li, P.X. & Yin, Z.Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133-146.10.1016/j.rse.2005.11.016
- Cristóbal, J., Jiménez-Muñoz, J., Sobrino, J., Ninyerola, M., & Pons, X. (2009). Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature. Journal of Geophysical Research: Atmospheres, 114(D8).
- Chaudhuri, A. S., Singh, P., & Rai, S. C. (2017). Assessment of impervious surface growth in urban environment through remote sensing estimates. Environmental Earth Sciences, 76, 541–553. https://doi.org/10.1007/s12665-017-6877-1.10.1007/s12665-017-6877-1
- Chaudhuri, A. S., Singh, P., and Rai, S. C. (2018). Modelling LULC change dynamics and its impact on environment and water security: geospatial technology based assessment. Eco. Env. & Cons 24, 300-306
- Fatemi, M., Narangifard, M. (2019). Monitoring LULC changes and its impact on the LST and NDVI in District 1 of Shiraz City. Arab J Geosci., 12, 127. https://doi.org/10.1007/s12517-019-4259-610.1007/s12517-019-4259-6
- Hou, G. L., Zhang, H. Y., Wang, Y. Q., Qiao, Z. H. & Zhang, Z. X. (2010). Retrieval and Spatial Distribution of Land Surface Temperature in the Middle Part of Jilin Province Based on MODIS Data. Scientia Geographica Sinica 30, 421–427.
- Harlan, S.L., Brazel, A.J., Prashad, L., Stefanov, W.L., Larsen, L. (2006) Neighborhood microclimates and vulnerability to heat stress. Soc. Sci. Med., 63, 2847–2863.
- He, Y., Lee, E. & Warner, T. A. (2017). A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data. Remote Sens. Environ. 199, 201–217.10.1016/j.rse.2017.07.010
- Jain, M., Dimri, A. & Niyogi, D.(2017). Land-Air Interactions over Urban-Rural Transects Using Satellite Observations: Analysis over Delhi, India from 1991–2016. Remote Sens. 9, 1–14.10.3390/rs9121283
- Jiang, Y., Fu, P. & Weng, Q. (2015). Assessing the impacts of urbanization-associated land use/cover change on land surface temperature and surface moisture: A case study in the midwestern united states. Remote Sens.7, 4880–4898.10.3390/rs70404880
- Jalan, S. & Sharma, K. (2014). Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur city using satellite data. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives XL-8, 767–772.10.5194/isprsarchives-XL-8-767-2014
- Kalnay, E. & Cai, M. (2003). Impact of urbanization and land-use change on climate. Nature 423, 528–531.10.1038/nature0167512774119
- Kikon, N., Singh, P., Singh, S.K, Vyas, A. (2016). Assessment of urban heat islands (UHI) of Noida City, India using multi-temporal satellite data. Sustainable Cities and Society 22 (2016) pp. 19–28.10.1016/j.scs.2016.01.005
- Lafortezza, R., Carrus, G., Sanesi, G., Davies, C. (2009). Benefits and wellbeing perceived by people visiting green spaces in periods of heat stress. Urban For. Urban Green, 8, 97–108.10.1016/j.ufug.2009.02.003
- Li, S., Zhao, Z., Miaomiao, X., & Wang, Y. (2010). Investigating spatial non-stationary and scale-dependent relationships between urban surface temperature and environmental factors using geographically weighted regression. Environmental Modelling & Software, 25(12), 1789-1800.10.1016/j.envsoft.2010.06.011
- Li, Y., Zhanga, H., Kainz, W., (2012). Monitoring patterns of urban heat islands of the fast-growing Shanghai metropolis, China: Using time-series ofLandsat TM/ETM+ data. International Journal of Applied Earth Observation and Geoinformation 19, pp127–13810.1016/j.jag.2012.05.001
- Mishra, V. and Rai, P.K., (2016). A Remote sensing Aided Multi-Layer Perceptron-Marcove Chain Analysis for Land Use and Land Cover Change Prediction in Patna district (Bihar), India, Arabian Journal of Geosciences, Vol 9 (1). Pp.1-18. DOI: 10.1007/s12517-015-2138-3.10.1007/s12517-015-2138-3
- Mishra, V.N., Prasad, R., Kumar, P. et al. (2019). Assessment of Spatio-Temporal Changes in Land Use/Land Cover Over a Decade (2000–2014) Using Earth Observation Datasets: A Case Study of Varanasi District, India. Iran J Sci Technol Trans Civ Eng 43, 383–401. https://doi.org/10.1007/s40996-018-0172-610.1007/s40996-018-0172-6
- Owen, T. W., Carlson, T. N. & Gillies, R. R. (1998). An assessment of satellite remotely-sensed land covers parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote Sensing, 19:9, pp.1663-1681.10.1080/014311698215171
- Pandey, S. K., Vinoj, V., Landu, K. & Babu, S. S. (2017). Declining pre-monsoon dust loading over South Asia: Signature of a changing regional climate. Sci. Rep.7, 1–10.10.1038/s41598-017-16338-w570017329167534
- Pielke, R. A. et al. (2011). Land use/land cover changes and climate: Modeling analysis and observational evidence. Wiley Interdiscip. Rev. Clim. Chang.2, 828–850.10.1002/wcc.144
- Pal, S., & Ziaul, S. (2017). Detection of land use and land cover change and land surface temperature in English Bazar urban centre. The Egyptian Journal of Remote Sensing and Space Science, 20(1), 125–145. doi:10.1016/j.ejrs.2016.11.003.10.1016/j.ejrs.2016.11.003
- Quattrochi, D.A., Luvall, J.C. (1999). Thermal infrared remote sensing for analysis of landscape ecological processes: Methods and applications. Landscape Ecology 14 (6), 577_598
- Siu, L.W., & Hart, M.A. (2013). Quantifying urban heat island intensity in Hong Kong SAR, China. Environmental Monitoring and Assessment, 185(5), 4383–4398. doi:10.1007/s10661-012-2876-6.10.1007/s10661-012-2876-6
- Saud, S., Fahad, S., Yajun, C., Ihsan, M.Z., Hammad, H.M., Nasim, W., Jr A, Arif, M., Alharby, H. (2017). Effects of nitrogen supply on water stress and recovery mechanisms in Kentucky bluegrass plants. Front Plant Sci 8:983. https://doi.org/10.3389/fpls.2017.0098310.3389/fpls.2017.00983
- Shastri, H., Barik, B., Ghosh, S., Venkataraman, C. & Sadavarte, P. (2017). Flip flop of Day-night and Summer-Winter Surface Urban Heat Island Intensity in India. Sci. Rep.7, 1–8.10.1038/srep40178
- Su, W., Gu, C. & Yang, G. (2010). Assessing the Impact of Land Use/Land Cover on Urban Heat Island Pattern in Nanjing City, China. J. Urban Plan. Dev. 136, 365–372.10.1061/(ASCE)UP.1943-5444.0000033
- Singh, S. and Rai, P.K. (2017). Application of Earth Observation Data for Estimation of Changes in Land Trajectories in Varanasi District, India, Journal of Landscape Ecology. DOI: 10.1515/jlecol-2017-0017.10.1515/jlecol-2017-0017
- Singh, P, Thakur, JK, Kumar, S, Singh, UC (2012). Assessment of Land Use/Land Cover Using Geospatial Techniques in a Semi-arid Region of Madhya Pradesh, India. In: Thakur Singh, Prasad Gossel (eds) Geospatial techniques for managing environmental resources. Springer, Heidelberg, pp 152–163
- Singh, P., Noyingbeni, K., and Verma, P. (2017). Impact of Land Use Change and Urbanization on Urban Heat Island in Lucknow City, Central India. A Remote Sensing Based Estimate. Sustainable Cities and Society, 32, 100–114. https://doi.org/10.1016/j.scs.2017.02.018.10.1016/j.scs.2017.02.018
- Stafoggia, M., Schwartz, J., Forastiere, F., Perucci, C.A. (2008). Does temperature modify the association between air pollution and mortality? A multicity case-cross over analysis in Italy. Am. J. Epidemiol., 167, 1476–1485.10.1093/aje/kwn07418408228
- Sharma, A. et al. (2017). Urban meteorological modeling using WRF: a sensitivity study. Int. J. Climatol. 37, 1885–1900.10.1002/joc.4819
- Verma, P, Singh, P. and Srivastava, S. K.. (2019). Impact of Land Use Change Dynamics on Sustainability of Groundwater Resources Using Earth Observation Data. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-019-00420-6.10.1007/s10668-019-00420-6
- Weng, Q., Lu, D., Schubring, J. (2004). Estimation of Land Surface Temperature—Vegetation abundance relationship for urban heat island studies. Remote Sens. Environ., 89, 467–483.10.1016/j.rse.2003.11.005
- Woodcock, C. E. and Strahler, A. H., (1987). “The factor of scale in remote sensing,” Remote Sens. Environ., vol. 21, pp. 311–22.
- Weng, Q., Lu, D. Schubring, J., (2004). Estimation of land surface temperaturevegetation abundance relationship for urban heat island studies. Remote sensing of Environment 89 (4): 467_483.
- Weng, Q. (2009). Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends, ISPRS Journal of Photogrammetry and Remote Sensing 64, pp335_344.10.1016/j.isprsjprs.2009.03.007
- Zong-Ci, Z., Yong, L. & Jian-Bin, H. (2013). Are There Impacts of Urban Heat Island on Future Climate Change? Adv. Clim. Chang. Res. 4, 133–136.10.3724/SP.J.1248.2013.133
- Zhang, Y., Odeh, I. and Han, C., (2009). “Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis,” Int. J. Appl. Earth Observation Geoinform., vol. 11, pp. 256–264.10.1016/j.jag.2009.03.001
- Zhao, C., Fu, G., Liu, X., Fu, F., (2011) Urban planning indicators, morphology and climate indicators: a case study for a north–south transect of Beijing, China. Bul. Environ., 46: 1174–118310.1016/j.buildenv.2010.12.009