International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Estimation of Effective Impervious Surface Area of Cochin using Satellite Images

    , , ,

Author Affiliations

  • 1 School of Environmental Studies, Cochin University of Science and Technology, Cochin-22, Kerala, INDIA

Res. J. Recent Sci., Volume 2, Issue (ISC-2012), Pages 241-244, February,2 (2013)

Abstract

Urbanization refers to the process in which an increasing proportion of a population lives in cities and suburbs. Urbanization fuels the alteration of the Land use/Land cover pattern of the region including increase in built-up area, leading to imperviousness of the ground surface. With increasing urbanization and population pressures; the impervious areas in the cities are increasing fast. An impervious surface refers to an anthropogenic ally modified surface that prevents water from infiltrating into the soil. Surface imperviousness mapping is important for the studies related to water cycling, water quality, soil erosion, flood water drainage, non-point source pollution, urban heat island effect and urban hydrology. The present study estimates the Total Impervious Area (TIA) of the city of Kochi using high resolution satellite image (LISS IV, 5m. resolution). Additionally the study maps the Effective Impervious Area (EIA) by coupling the capabilities of GIS and Remote Sensing. Land use/Land cover map of the study area was prepared from the LISS IV image acquired for the year 2012. The classes were merged to prepare a map showing pervious and impervious area. Supervised Maximum Likelihood Classification (Supervised MLC),which is a simple but accurate method for image classification, is used in calculating TIA and an overall classification accuracy of 86.33% was obtained. Water bodies are 100% pervious, whereas urban built up area are 100% impervious. Further based on percentage of imperviousness, the Total Impervious Area is categorized into various classes.

References

  1. Arnold C. L., and Gibbons C. J., Impervious surface coverage, The emergence of a key environmental indicator, J. the American Planning Association, 62, 243−258 (1996)
  2. Hasse J. E., and Lathrop R. G., Land resource impact indicators of urban sprawl, Applied Geography, 23 (2–3), 159−175 (2003)
  3. Girija Devi, Environmental Impact Assessment of Surface Water Drainage System in the Central Area of Cochin using GIS and Remote Sensing, Ph. D Thesis, CUSAT (2005)
  4. Schueler T., The importance of imperviousness. Watershed Protection Techniques, 1(3), 100−111 (1994)
  5. Galli J., Thermal Impacts associated with Urbanization and Storm Water Management, Best Management Practices, Metropolitan Washington Council of Governments. Washington D. C., Maryland Department of Environment, 188 (1991)
  6. Slonecker E. T., Jennings D. B., and Garofalo D., Remote sensing of impervious surfaces: A review, Rem. Sen. Reviews, 20(3), 227−255 (2001)
  7. Bauer M. E., Heinert N. J., Doyle J. K. and Yuan, FImpervious surface mapping and change monitoring using Landsat remote sensing.Proceedings of ASPRS annual conference, May 24–28, Denver, Colorado (2004)
  8. Jana Adarsa, Sheena Shamina and Biswas Arkoprovo, Morphological Change Study of Ghoramara Island, Eastern India Using Multi Temporal Satellite Data, Res. J. Recent Sci., 1(10), 72-81 (2012)
  9. Mayavan N. and Sundaram A., Statistical Analysis for Landslide in Relation to Landuse, InSirumalai Hill, Dindigul District, Tami Nadu, India, using GI Technologies, Res. J. Recent Sci., 1(12), 36-39 (2012)
  10. Biswas Arkoprovo, Jana Adarsa and Sharma Shashi Prakash, Delineation of Groundwater Potential Zones using Satellite Remote Sensing and Geographic Information System Techniques: A Case study from Ganjam district, Orissa, India, Res. J. Recent Sci., 1(9), 59-66 (2012)
  11. Yuan F. and Bauer M.E., Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Land sat imagery, Rem. Sen. of Environment, 106 (3), 375−386 (2007)
  12. Lu D. and Weng Q. Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA., 104(2), 157−167 (2006)
  13. Civco D.L. and Hurd J.D., Impervious Surface Mapping for the State of Connecticut. Proceedings of the 1997 ASPRS Annual Conference, Seattle, WA, 3, 124-135 (1997)
  14. Smith. A., Sub pixel Estimates of Impervious Surface Cover Using Landsat TM Imagery, Scholarly article, Geography Department, University of Maryland (2000) , 241-244 (2013)
  15. Small C., Estimation of urban vegetation abundance by spectral mixture analysis, Int. J. of Rem. Sen., 22(7), 1305−1334 (2001)
  16. Flanagan M. and Civco D.L., Sub pixel impervious surface mapping, Proceedings of 2001 ASPRS annual convention, April 23–27, St. Louis, MO, (2001)
  17. Wu C., Murray A.T., Estimating impervious surface distribution by spectral mixture analysis, Remote Sensing of Environment, 84 (4), 493–505 (2001)
  18. Small C., High spatial resolution spectral mixture analysis of urban reflectance, Remote Sensing of Environment, 88(1–2), 170−186 (2003)
  19. Yang L., Xian G., Klaver, J.M. and Deal B., Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data, Photogram. Eng. Rem. Sen., 69 (9), 1003–1010 (2003)
  20. Wu C., Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery, Rem. Sen. of Environment, 93 (4), 480–492 (2004)
  21. Mohapatra R.P., Wu C., Sub pixel imperviousness estimation with IKONO Simagery: an artificial neural network approach, In: Weng Q. (Ed.), Remote Sensing of Impervious Surfaces, Taylor & Francis Group, LLC, Boca Raton, FL, 21–37 (2008)
  22. Walsh C.J., Protection of in-Stream Biota from Urban Impacts: Minimize Catchment Imperviousness or Improve Drainage Design, Marine and Freshwater Res., 55, 317-326 (2004)
  23. Shuster W. D., Bonta J., Thurston H., Warnemuende E. and Smith D. R., Impacts of Impervious Surface on Watershed Hydrology: A Review, Urban Water J., 2(4), 263-275 (2005)
  24. Schueler T., Mc-Neal. L., Cappiella. K., Is Impervious Cover still important, Review of Rec., (2009)