Analysis of urban built-up areas and surface urban heat island using downscaled MODIS derived land surface temperature data

References

• Agam N, Kustas WP, Anderson MC, Li F, Neale CMU. 2007. A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sens Environ. 107:545–558.10.1016/j.rse.2006.10.006
   Web of Science ®Google Scholar
• Ambinakudige S. 2011. Remote sensing of land cover’s effect on surface temperatures: a case study of the urban heat island in Bangalore, India. Appl GIS. 7:1–12.
   Google Scholar
• Anderson MC, Neale CMU, Li F, Norman JM, Kustas WP, Jayanthi H, Chavez J. 2004. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery. Remote Sens Environ. 92:447–464.10.1016/j.rse.2004.03.019
   Web of Science ®Google Scholar
• Arnfield J. 2003. Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. Int J Climatol. 23:1–26.10.1002/(ISSN)1097-0088
   Web of Science ®Google Scholar
• Atkinson PM. 2013. Downscaling in remote sensing. Int J Appl Earth Obs Geoinf. 22:106–114.10.1016/j.jag.2012.04.012
   Web of Science ®Google Scholar
• Badarinath K, Chand TK, Madhavilatha K, Raghavaswamy V. 2005. Studies on urban heat islands using envisat AATSR data. J Indian Soc Remote Sens. 33:495–501.10.1007/BF02990734
   Web of Science ®Google Scholar
• Bajaja, DN, Inamdarb, AB, Vaibhava, V. 2012. Temporal variation of urban heat island using Landsat data: a case study of Ahmadabad, India, in: Aiming Smart Space Sensing. Presented at the 33rd Asian Conference on Remote Sensing; Thailand.
   Google Scholar
• Bhatta B, Saraswati S, Bandyopadhyay D. 2010. Urban sprawl measurement from remote sensing data. Appl Geogr. 30:731–740.10.1016/j.apgeog.2010.02.002
   Web of Science ®Google Scholar
• Bindhu VM, Narasimhan B, Sudheer KP. 2013. Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to estimate evapotranspiration. Remote Sens Environ. 135:118–129.10.1016/j.rse.2013.03.023
   Web of Science ®Google Scholar
• Bjorke JT. 1996. Framework for entropy-based map evaluation. Cartogr Geog Inf Sci. 23:78–95.10.1559/152304096782562136
   Google Scholar
• Borthakur M, Nath BK. 2012. A study of changing urban landscape and heat island phenomenon in guwahati metropolitan area. Int J Sci Res. 2:1–6.
   Google Scholar
• Chadchan J, Shankar R. 2012. An analysis of urban growth trends in the post-economic reforms period in India. Int J Sustainable Built Environ. 1:36–49.10.1016/j.ijsbe.2012.05.001
   Google Scholar
• Chakrabarti PGD. 2001. Urban crisis in India: new initiatives for sustainable cities. Dev Pract. 11:260–272.10.1080/09614520120056397
   Google Scholar
• Chen, Y, Hsien, T, Wen-Sheng, O. 2007. The relationship between urban greening and thermal environment. In: IEEE Urban Remote Sensing Joint Event; Apr 11–13th; 219–224.
   Google Scholar
• Chen X, Zhao H, Li P, Yin Z. 2006. Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ. 104:133–146.10.1016/j.rse.2005.11.016
   Web of Science ®Google Scholar
• Dominguez A, Kleissl J, Luvall JC, Rickman DL. 2011. High-resolution urban thermal sharpener (HUTS). Remote Sens Environ. 115:1772–1780.10.1016/j.rse.2011.03.008
   Web of Science ®Google Scholar
• Essa W, Kwast JVD, Verbeiren B, Batelaan O. 2013. Downscaling of thermal images over urban areas using the land surface temperature–impervious percentage relationship. Int J Appl Earth Obs Geoinf. 23:95–108.10.1016/j.jag.2012.12.007
   Web of Science ®Google Scholar
• Essa W, Verbeiren B, van der Kwast JVD, Van de Voorde TVD, Batelaan O. 2012. Evaluation of the DisTrad thermal sharpening methodology for urban areas. Int J Appl Earth Obs Geoinf. 19:163–172.10.1016/j.jag.2012.05.010
   Web of Science ®Google Scholar
• Ferguson G, Woodbury AD. 2007. Urban heat island in the subsurface. Geophys Res Lett. 34. doi:10.1029/2007GL032324.
   Web of Science ®Google Scholar
• Guo Z, Wang SD, Cheng MM, Shu Y. 2012. Assess the effect of different degrees of urbanization on land surface temperature using remote sensing images. Procedia Environ Sci. 13:935–942.10.1016/j.proenv.2012.01.087
   Google Scholar
• Hahs AK, McDonnell MJ, McCarthy MA, Vesk PA, Corlett RT, Norton BA, Clemants, SE, Duncan RP, Thompson K, Schwartz MW, Williams NS. 2009. A global synthesis of plant extinction rates in urban areas. Ecol Lett. 12:1165–1173.10.1111/ele.2009.12.issue-11
   PubMed Web of Science ®Google Scholar
• Hong S, Hendrickx JMH, Borchers B. 2011. Down-scaling of SEBAL derived evapotranspiration maps from MODIS (250 m) to Landsat (30 m) scales. Int J Remote Sens. 32:6457–6477.10.1080/01431161.2010.512929
   Web of Science ®Google Scholar
• Hung T, Uchihama D, Ochi S, Yasuoka Y. 2006. Assessment with satellite data of the urban heat island effects in Asian mega cities. Int J Appl Earth Obs Geoinf. 8:34–48.
   Web of Science ®Google Scholar
• Imhoff ML, Zhang P, Wolfe RE, Bounoua L. 2010. Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sens Environ. 114:504–513.10.1016/j.rse.2009.10.008
   Web of Science ®Google Scholar
• Jeganathan C, Hamm NAS, Mukherjee S, Atkinson PM, Raju PLN, Dadhwal VK. 2011. Evaluating a thermal image sharpening model over a mixed agricultural landscape in India. Int J Appl Earth Obs Geoinf. 13:178–191.10.1016/j.jag.2010.11.001
   Web of Science ®Google Scholar
• Jiang L, Deng X, Seto KC. 2013. The impact of urban expansion on agricultural land use intensity in China. Land Use Policy. 35:33–39.10.1016/j.landusepol.2013.04.011
   Web of Science ®Google Scholar
• Kalluri S, Gilruth P, Bergman R. 2003. The potential of remote sensing data for decision makers at the state, local and tribal level: experiences from NASA’s Synergy program. Environ Sci Policy. 6:487–500.10.1016/j.envsci.2003.08.002
   Web of Science ®Google Scholar
• Karnieli A, Bayasgalan M, Bayarjargal Y, Agam N, Khudulmur S, Tucker CJ. 2006. Comments on the use of the vegetation health index over Mongolia. Int J Remote Sens. 27:2017–2024.10.1080/01431160500121727
   Web of Science ®Google Scholar
• Knapp S, Kühn I, Schweiger O, Klotz S. 2008. Challenging urban species diversity: contrasting phylogenetic patterns across plant functional groups in Germany. Ecol Lett. 11:1054–1064.10.1111/ele.2008.11.issue-10
   PubMed Web of Science ®Google Scholar
• Knöpfli, R. 1983. Communication theory and generalization. In: Taylor, DRF, editor. Graphic communication and design in contemporary cartography. New York NY: John Wiley; p. 177.
   Google Scholar
• Kumar KS, Bhaskar PU, Padmakumari K. 2012. Estimation of land surface temperature to study urban heat island effect using Landsat ETM+ image. Int J Eng Sci. 4:771–778.
   Google Scholar
• Kustas WP, Norman JM, Anderson MC, French AN. 2003. Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship. Remote Sens Environ. 85:429–440.10.1016/S0034-4257(03)00036-1
   Web of Science ®Google Scholar
• Li Z, Huang P. 2002. Quantitative measures for spatial information of maps. Int J Geog Inf Sci. 16:699–709.10.1080/13658810210149416
   Web of Science ®Google Scholar
• Lo CP, Quattrochi DA. 2003. Land-use and land-cover change, urban heat island phenomenon, and health implications. Photogramm Eng Remote Sens. 69:1053–1063.10.14358/PERS.69.9.1053
   Web of Science ®Google Scholar
• Luo Z, Sun OJ, Ge Q, Xu W, Zheng J. 2007. Phenological responses of plants to climate change in an urban environment. Ecol Res. 22:507–514.10.1007/s11284-006-0044-6
   Web of Science ®Google Scholar
• Maktav D, Erbek FS. 2005. Analysis of urban growth using multi‐temporal satellite data in Istanbul, Turkey. Int J Remote Sens. 26:797–810.10.1080/01431160512331316784
   Web of Science ®Google Scholar
• Mallick J, Kant Y, Bharath B. 2008. Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J Indian Geophys Union. 12:131–140.
   Google Scholar
• Mallick J, Rahman A, Singh CK. 2013. Modeling urban heat islands in heterogeneous land surface and its correlation with impervious surface area by using night-time ASTER satellite data in highly urbanizing city, Delhi-India. Adv Space Res. 52:639–655.10.1016/j.asr.2013.04.025
   Web of Science ®Google Scholar
• Merlin O, Duchemin B, Hagolle O, Jacob F, Coudert B, Chehbouni G, Dedieu G, Garatuza J, Kerr Y. 2010. Disaggregation of MODIS surface temperature over an agricultural area using a time series of Formosat-2 images. Remote Sens Environ. 114:2500–2512.10.1016/j.rse.2010.05.025
   Web of Science ®Google Scholar
• Mohan M, Kikegawa Y, Gurjar B, Bhati S, Kandya A, Ogawa K. 2012. Urban heat island assessment for a tropical urban airshed in India. Atmos Clim Sci. 2:127–138.10.4236/acs.2012.22014
   Google Scholar
• Moran MS, Rahman AF, Washburne JC, Kustas WP. 1996. Combining the Penman-Monteith equation with measurements of surface temperature and reflectance to estimate evaporation rates of semiarid grassland. Agric For Meteorol. 80:87–109.10.1016/0168-1923(95)02292-9
   Web of Science ®Google Scholar
• Mukherjee S, Joshi PK, Garg RD. 2014. A comparison of different regression models for downscaling Landsat and MODIS land surface temperature images over heterogeneous landscape. Adv Space Res. 54:655–669.10.1016/j.asr.2014.04.013
   Web of Science ®Google Scholar
• Nichol J. 2009. An emissivity modulation method for spatial enhancement of thermal satellite images in urban heat island analysis. Photogramm Eng Remote Sens. 75:547–556.10.14358/PERS.75.5.547
   Web of Science ®Google Scholar
• Pandey P, Kumar D, Prakash A, Masih J, Singh M, Kumar S, Jain VK, Kumar K. 2012. A study of urban heat island and its association with particulate matter during winter months over Delhi. Sci Total Environ. 414:494–507.10.1016/j.scitotenv.2011.10.043
   PubMed Web of Science ®Google Scholar
• Pandey B, Seto KC. 2015. Urbanization and agricultural land loss in India: comparing satellite estimates with census data. J Environ Manage. 148:53–66.
   PubMed Web of Science ®Google Scholar
• Peng S, Piao S, Ciais P, Friedlingstein P, Ottle C, Bréon FM, Myneni RB. 2011. Surface urban heat island across 419 global big cities. Environ Sci Technol. 46:696–703.
   PubMed Web of Science ®Google Scholar
• Pichierri M, Bonafoni S, Biondi R. 2012. Satellite air temperature estimation for monitoring the canopy layer heat island of Milan. Remote Sens Environ. 127:130–138.10.1016/j.rse.2012.08.025
   Web of Science ®Google Scholar
• Pongracz R, Bartholy J, Dezso Z. 2006. Remotely sensed thermal information applied to urban climate analysis. Adv Space Res. 37:2191–2196.10.1016/j.asr.2005.06.069
   Web of Science ®Google Scholar
• Rajasekar U, Weng Q. 2009. Spatio-temporal modelling and analysis of urban heat islands by using Landsat TM and ETM+ imagery. Int J Remote Sens. 30:3531–3548.10.1080/01431160802562289
   Web of Science ®Google Scholar
• Rodriguez-Galiano V, Pardo-Iguzquiza E, Sanchez-Castillo M, Chica-Olmo M, Chica-Rivas M. 2012. Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images. Int J Appl Earth Obs Geoinf. 18:515–527.10.1016/j.jag.2011.10.002
   Web of Science ®Google Scholar
• Rousseeuw PJ. 1984. Least median of squares regression. J Am Stat Assoc. 79:871–880.10.1080/01621459.1984.10477105
   Web of Science ®Google Scholar
• Schneider A, Friedl MA, Potere D. 2010. Mapping global urban areas using MODIS 500-m data: new methods and datasets based on ‘urban ecoregions’. Remote Sens Environ. 114:1733–1746.10.1016/j.rse.2010.03.003
   Web of Science ®Google Scholar
• Schwarz N, Lautenbach S, Seppelt R. 2011. Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures. Remote Sens Environ. 115:3175–3186.10.1016/j.rse.2011.07.003
   Web of Science ®Google Scholar
• Seto KC, Shepherd JM. 2009. Global urban land-use trends and climate impacts. Curr Opin Environ Sustainability. 1:89–95.10.1016/j.cosust.2009.07.012
   Web of Science ®Google Scholar
• Shannon CE. 1948. A mathematical theory of communication. Bell Syst Tech J. 27:379–423.10.1002/bltj.1948.27.issue-3
   Web of Science ®Google Scholar
• Sharma R, Ghosh A, Joshi PK. 2013. Spatio-temporal footprints of urbanisation in Surat, the diamond city of India (1990–2009). Environ Monit Assess. 185:3313–3325.10.1007/s10661-012-2792-9
   PubMed Web of Science ®Google Scholar
• Sharma R, Joshi PK. 2014. Identifying seasonal heat islands in urban settings of Delhi (India) using remotely sensed data – An anomaly based approach. Urban Clim. 9:19–34.
   Google Scholar
• Shepherd JM, Pierce H, Negri AJ. 2002. Rainfall modification by major urban areas: observations from spaceborne rain radar on the TRMM satellite. J Appl Meteorol. 41:689–701.10.1175/1520-0450(2002)041<0689:RMBMUA>2.0.CO;2
   Google Scholar
• Stathopoulou M, Cartalis C. 2009. Downscaling AVHRR land surface temperatures for improved surface urban heat island intensity estimation. Remote Sens Environ. 113:2592–2605.10.1016/j.rse.2009.07.017
   Web of Science ®Google Scholar
• Sudhira HS, Ramachandra TV, Jagadish KS. 2004. Urban sprawl: metrics, dynamics and modelling using GIS. Int J Appl Earth Obs Geoinf. 5:29–39.10.1016/j.jag.2003.08.002
   Google Scholar
• Taubenböck H, Wegmann M, Roth A, Mehl H, Dech S. 2009. Urbanization in India-spatiotemporal analysis using remote sensing data. Comput Environ Urban Syst. 33:179–188.10.1016/j.compenvurbsys.2008.09.003
   Web of Science ®Google Scholar
• Tran H, Uchihama D, Ochi S, Yasuoka Y. 2006. Assessment with satellite data of the urban heat island effects in Asian mega cities. Int J Appl Earth Obs Geoinf. 8:34–48.10.1016/j.jag.2005.05.003
   Web of Science ®Google Scholar
• United Nations. 2003. World urbanization prospects, the 2003 revision. New York (NY): Department of Economic and Social Affairs.
   Google Scholar
• United Nations. 2012. World urbanization prospects the 2011 revision. New York (NY): Department of Economic and Social Affairs.
   Google Scholar
• United Nations. 2014. World urbanization prospects, the 2014 revision. New York (NY): Department of Economic and Social Affairs.
   Google Scholar
• Vieux BE. 1993. DEM aggregation and smoothing effects on surface runoff modeling. J Comput Civil Eng. 7:310–338.10.1061/(ASCE)0887-3801(1993)7:3(310)
   Google Scholar
• Vieux BE, Farajalla NS. 1994. Capturing the essential spatial variability in distributed hydrological modelling: hydraulic roughness. Hydrol Processes. 8:221–236.10.1002/(ISSN)1099-1085
   Web of Science ®Google Scholar
• Voogt JA, Oke TR. 2003. Thermal remote sensing of urban climates. Remote Sens. Environ. 86:370–384.10.1016/S0034-4257(03)00079-8
   Web of Science ®Google Scholar
• Wald L, Ranchin T, Mangolini M. 1997. Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images. Photogramm Eng Remote Sens. 63:691–699.
   Web of Science ®Google Scholar
• Wise S. 2012. Information entropy as a measure of DEM quality. Comput Geosci. 48:102–110.10.1016/j.cageo.2012.05.011
   Web of Science ®Google Scholar
• Wang Z, Bovik AC. 2002. A universal image quality index. IEEE Signal Process Lett. 9:81–84.
   Web of Science ®Google Scholar
• Yang J, Wang Y. 2011. Estimating evapotranspiration fraction by modeling two-dimensional space of NDVI/albedo and day–night land surface temperature difference: a comparative study. Adv Water Resour. 34:512–518.10.1016/j.advwatres.2011.01.006
   Web of Science ®Google Scholar
• Yang G, Pu R, Zhao C, Huang W, Wang J. 2010. Estimation of subpixel land surface temperature using an endmember index based technique: a case examination on ASTER and MODIS temperature products over a heterogeneous area. Remote Sens Environ. 115:1202–1219.
   Web of Science ®Google Scholar
• Yang H, Cong Z, Liu Z, Lei Z. 2010. Estimating sub-pixel temperatures using the triangle algorithm. Int J Remote Sens. 31:6047–6060.10.1080/01431160903376373
   Web of Science ®Google Scholar
• Zakšek K, Oštir K. 2012. Downscaling land surface temperature for urban heat island diurnal cycle analysis. Remote Sens Environ. 117:114–124.10.1016/j.rse.2011.05.027
   Web of Science ®Google Scholar
• Zhan W, Chen Y, Zhou J, Wang J, Liu W, Voogt J, Zhu X, Quan J, Li J. 2013. Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats. Remote Sens Environ. 131:119–139.10.1016/j.rse.2012.12.014
   Web of Science ®Google Scholar
• Zhang Q, Seto KC. 2011. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data. Remote Sens Environ. 115:2320–2329.10.1016/j.rse.2011.04.032
   Web of Science ®Google Scholar
• Zhu S, Guan H, Millington AC, Zhang G. 2013. Disaggregation of land surface temperature over a heterogeneous urban and surrounding suburban area: a case study in Shanghai, China. Int J Remote Sens. 34:1707–1723.10.1080/01431161.2012.725957
   Web of Science ®Google Scholar