http://www.iisc.ernet.in/
Land Surface Temperature Analysis in an Urbanising Landscape through Multi-Resolution data
 http://wgbis.ces.iisc.ernet.in/energy/
Ramachandra T V 1,2,3,*                 Bharath H. Aithal 1,2                 Durgappa Sanna D.2
1 Energy & Wetlands Research Group, Center for Ecological Sciences [CES], 2 Centre for Sustainable Technologies (astra), 3 Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP], Indian Institute of Science, Bangalore, Karnataka, 560 012, India
*Corresponding author: cestvr@ces.iisc.ernet.in

References

  1. Zhang, J., and Zhang, Y., 2007, Remote Sensing research issues of the National Land Use Change Program of China. Photogrammetry & Remote Sensing, 62(6), 461-472.
  2. Ramachandra, T.V., and Kumar, U., Land Surface Temperature with land cover dynamics: Multi resolution, spatio – temporal data analysis of greater Bangalore, International journal of Geoinfomatics, vol5, No 3. September 2009.
  3. Gallo, K.P., and Owen, T.W., 1998, Assessment of urban heat island: A multi-sensor perspective for the Dallas-Ft. Worth, USA region. Geocarto International, 13, 35– 41.
  4. Li, F., Jackson, T.J., Kustas, W., Schmugge, T.J., French, A.N., Cosh, M.L., Bindlish, R., 2004, Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of Environment, 92, 521 – 534.
  5. Rao, P. K., 1972, Remote sensing of urban heat islands from an environmental satellite, Bulletin of the American Meteorological Society, 53, 647−648.
  6. Voogt, J. A., and Oke, T. R., 2003., Thermal remote sensing of urban climate. Remote Sensing of Environment, 86, 370−384.
  7. Carlson, T. N., Gillies, R. R., and Perry, E. M., 1994., A method to make use of thermal infrared temperature and NDVI measurements to infer surface water content and fractional vegetation cover. Remote Sensing Reviews, 9, 161−173.
  8. Carlson, T. N., 2007. An overview of the so-called “Triangle Method” for estimating surface evapotranspiration and soil moisture from satellite imagery. Sensors, 7,1612−1629.
  9. Owen, T. W., Carlson, T. N., and Gillies, R. R., 1998., Assessment of satellite remotely sensed land cover parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote sensing, 19, 1663−1681.
  10. Gallo, K. P., and Tarpley, J. D., 1996., The comparison of vegetation index and surface temperature composites for urban heat island analysis. International Journal of Remote sensing, 17, 3071−3076.
  11. Dousset, B., and Gourmelon, F., 2003., Satellite multi-sensor data analysis of urban surface temperature and land cover. ISPRS Journal of Photogrammetry and Remote Sensing, 58,43−54.
  12. Kustas,W. P., Norman, J.M., Anderson,M. C., and  French, A. N., 2003., Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric  temperature  relationship. Remote sensing of Environment, 85, 429−440.
  13. Lambin, F. F., and Ehrlich, D., 1996., The surface temperature–vegetation index space for land use and land cover change analysis. International Journal of Remote Sensing, 17, 463−487.
  14. Kato, S., and Yamaguchi, Y., 2005, Analysis of urban heat-island effect using ASTER and ETM+ Data: Separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux. Remote Sensing of Environment, 99, 44–54.
  15. Dash, P., Gottsche, F.M., Olesen, F.S. and Fischer, H., 2002, Land surface temperature and emissivity estimation from passive sensor data: Theory and practice-current trends. International Journal of Remote Sensing, 23(13), 2563–2594.
  16. Friedl, M.A., 2002, Forward and inverse modeling of land surface energy balance using surface temperature measurements. Remote Sensing of Environment, 79, 344-354.
  17. Schmugge, T., Hook, S.J., and Coll, C., 1998, Recovering surface temperature and emissivity from thermal infrared multispectral data. Remote Sensing of Environment, 65, 121– 131.
  18. Sobrino J.A et al., 2004, Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90, 434– 440.
  19. Gillespie, A. R., Rokugawa, S., Hook, S., Matsunaga, T., & Kahle, A. B. (1998). A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Transactions on Geoscience and Remote Sensing, 36, 1113–1126.
  20. Snyder, W.C., Wan, Z., Zhang, Y., and Feng, Y.Z., 1998, Classification based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 19, 2753– 2774.
  21. Landsat 7 science data user’s handbook, Landsat Project Science Office, Goddard Space Flight Center, 2002, URL: http://ltwww.gsfc.nasa. gov/IAS/handbook/handbook_toc.html (last accessed: 25 March, 2008).
  22. Duda, R.O., Hart, P.E., and Stork, D.G., 2000, Pattern Classification, A Wiley-Interscience Publication, Second Edition, ISBN 9814-12-602-0.
  23. Weng, Q., Lu, D., and Schubring, J., 2004, Estimation of land surface temperature – vegetation abundances relationship for urban heat island studies. Remote Sensing of Environment, 89, 467-483.
  24. Stathopoplou, M., Cartalis, C., and Petrakis, M., 2007, Integrating CORINE Land Cover data and landsat TM for surface emissivity definitions: an application for the urban areas of Athens, Greece. International Journal of Remote Sensing, 28, 3291-3304.
  25. Artis, D.A., and Carnahan, W.H., 1982, Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12, 13-329.
  26. Carnahan, W.H., and Larson, R.C., 1990, An analysis of an urban heat sink. Remote Sensing of Environment, 33, 65-71.
  27. http://himachal.nic.in/industry/getinfon.htm
  28. Graymore, M., Sipe, N., & Rickson, R., 2008. Regional sustainability: How useful are current tools of sustainability assessment at the regional scale? Ecological Economics, 67(3), 362-372
  29. WUP (World Urbanization Prospects): The 2005 Revision, Population Division, Department of Economic and Social Affairs, UN.

 
Citation : Ramachandra. T.V., Bharath H. Aithal and Durgappa Sanna D., 2012. Land Surface Temperature Analysis in an Urbanising Landscape through Multi-Resolution Data., Journal of Space Science & Technology, Volume 1, Issue 1, April 2012, Pages 1-10.
* Corresponding Author :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : 91-80-23600985 / 22932506 / 22933099,      Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy, http://ces.iisc.ernet.in/grass
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