Skip to main content
SpringerLink
Log in
Book cover

Geo-Informatics in Resource Management and Sustainable Ecosystem pp 128–140Cite as

Overview of Hyperspectral Remote Sensing of Impervious Surfaces in Urban Environment

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 398))

Abstract

In this paper we provide a concise overview of hyperspectral studies of impervious surface in urban environment. We highlight socio-ecological impact of urban conglomerate on the surroundings. We present few important techniques of material detection using spectral matching methods - a unique opportunity provided by hyperspectral data. The paper then discusses signatures of urban materials and reviews how various investigators have utilized hyperspectral data to study impervious surface in urban area.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arnold Jr., C.L., Gibbons, C.J.: Impervious Surface Coverage: The Emergence of a Key Environmental Indicator. Journal of the American Planning Association 62(2), 243–258 (1996)

    Article  Google Scholar 

  2. Jensen, J.R. (ed.): Urban/Suburban Land Use Analysis, Manual of Remote Sensing (R.N. Colwell, editor), 2nd edn., pp. 1571–1666. American Society of Photogrammetry, Falls Church (1983)

    Google Scholar 

  3. Weng, Q.: Remote Sensing of Impervious Surfaces in the Urban Areas: Requirements, Methods, and Trends. Remote Sensing of Environment (2011), doi:10.1016/j.rse.2011.02.030

    Google Scholar 

  4. Shafri, H.Z.M., Taherzadeh, E., Mansor, S., Ashurov, R.: Hyperspectral Remote Sensing of Urban Areas: an Overview of Techniques and Application. Research Journal of Applied Sciences, Engineering and Technology 4(11), 1557–1565 (2012)

    Google Scholar 

  5. Jet Propulsion Laboratory, California Institute of Technology, http://aviris.jpl.nasa.gov/index.html

  6. Vane, G., Goetz, A.F.H.: Introduction to the Proceedings of the Airborne Imaging Spectrometer (AIS) Data Analysis Workshop. In: Proc. Airborne Imaging Spectrometer Data Analysis, Jet Propulsion Laboratory, California Institute of Technology, April 8,9,10, pp. 1–21. JPL Publication, Pasadena (1985)

    Google Scholar 

  7. Goetz, A.F.H., Vane, H.G., Solomon, J.E., Rock, B.N.: Imaging Spectrometry for Earth Remote Sensing. Science 228(4704), 1147–1153 (1985)

    Article  Google Scholar 

  8. Jet Propulsion Laboratory, California Institute of Technology, http://aviris.jpl.nasa.gov/data/newdata.html

  9. EO-1 User guide v. 2.3, Compiled by: R. Beck, Department of geography, University of Cincinnati, Cincinnati, Ohio (2003)

    Google Scholar 

  10. HyVista Corporation, http://www.hyvista.com/

  11. Kruse, F.A., Boardman, J.W., Lefkoff, A.B., Young, J.M., Kierein-Young, K.S., Cocks, T.D., Jenssen, R., Cocks, P.A.: HyMap: An Australian Hyperspectral Sensor Solving Global Problems – Results from USA HyMap Data Acquisitions, http://www.hyvista.com/wp_11/wp-content/uploads/2011/02/10ARSPC_hymap.pdf

  12. Kruse, F.A., Lakeoff, A.B., Boardman, J.W., Heidbrecht, K.B., Shapiro, A.T., Barloon, P.J., Goetz, A.F.H.: The Spectral Image Processing System (SIPS) – Interactive Visualization and Analysis of Imaging Spectrometer Data. Remote Sensing of Environment 44, 145–163 (1993)

    Article  Google Scholar 

  13. Van Der Meer, F., Bakker, W.: CCSM: Cross Correleogram Spectral Matching. International Journal of Remote Sensing 18(5), 1197–1201 (1997)

    Article  Google Scholar 

  14. Van Der Meer, F.: Spectral Curve Shape Matching with a Continuum Removed CCSM Algorithm. International Journal of Remote Sensing 21(16), 3179–3185 (2000)

    Article  Google Scholar 

  15. Kumar, A.S., Earthy, V., Manjunath, A.S., Van Der Werff, H., Van Der Meer, F.: Hyperspectral Image Classification by a Variable Interval Spectral Average and, Spectral Curve Matching Combined Algorithm. International Journal of Applied Earth Observation and Geoinformation 12, 261–269 (2010)

    Article  Google Scholar 

  16. Nidamanuri, R., Zbell, B.: Normalized Spectral Similarity Score (NS3) as an Efficient Spectral Library Searching Method for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4(1), 226–240 (2011)

    Article  Google Scholar 

  17. Ridd, M.K.: Exploring V-I-S (Vegetation – Impervious Surface – Soil) Model for Urban Ecosystem Analysis through Remote Sensing: Comparative Anatomy of the Cities. International Journal of Remote Sensing 16(12), 2165–2185 (1995)

    Article  Google Scholar 

  18. Anderson, J.R., Hardy, E.E., Roach, J.T., Witmer, R.E.: A Land Use and Land Cover Classification System for Use With Remote Sensor Data, Geological Survey Professional Paper 964. United States Government Printing Office, Washington (1976)

    Google Scholar 

  19. Cadenasso, M.L., Pickett, S.T.A., Schwarz, K.: Spatial Heterogeneity in Urban Ecosystems: Reconceptualizing Land Cover and a Framework for Classification. Frontiers in Ecology and the Environment 5(2), 80–88 (2007)

    Article  Google Scholar 

  20. Chen, J., Hepner, G.: Investigation of Imaging Spectroscopy for Discriminating Urban Land Covers and Surface Materials. In: 2001 AVIRIS Earth Science and Applications Workshop, Palo Alto, California (2001), ftp://popo.jpl.nasa.gov/pub/docs/workshops/01_docs/2001Chen_web.pdf

  21. Herold, M., Roberts, D., Gardner, M.E., Dennison, P.E.: Spectrometry for Urban Area Remote Sensing—Development and Analysis of a Spectral Library from 350 to 2400 nm. Remote Sensing of Environment 91, 304–319 (2004)

    Article  Google Scholar 

  22. Xu, B., Gong, P.: Land-use/land-cover Classification with Multispectral and Hyperspectral EO-1 data. Photogrammetric Engineering and Remote Sensing 73(8), 955–965 (2007)

    Article  Google Scholar 

  23. Weng, Q., Hu, X., Lu, D.: Extracting Impervious Surfaces from Medium Spatial Resolution Multispectral and Hyperspectral Imagery: a Comparison. International Journal of Remote Sensing 29(11), 3209–3232 (2008)

    Article  Google Scholar 

  24. Heiden, U., Segl, K., Kaufmann, H.: Determination of Robust Spectral Features for Identification of Urban Surface Materials in Hyperspectral Remote Sensing Data. Remote Sensing of Environment 111(4), 537–552 (2007)

    Article  Google Scholar 

  25. Clark, R.N., Swayze, G.A., Livo, K.E., Hoefen, T., Kolkaly, R., Sutley, S.J.: USGS Digital Spectral Library splib06a: U.S. Geological Survey. Digital Data Series, vol. 231 (2007), http://speclab.cr.usgs.gov/spectral-lib.html

  26. Clark, R.N., Swayze, G.A., Livo, K.E., Kokaly, R.F., King, T.V.V., Dalton, J.B., Vance, J.S., Rockwell, B.W., Hoefen, T., McDougal, R.R.: Surface Reflectance Calibration of Terrestrial Imaging Spectroscopy Data: a Tutorial Using AVIRIS. In: Proceedings of the 10th Airborne Earth Science Workshop. JPL Publication 02-1 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tata Research Development and Design Centre, 54-B Hadapsar Industrial Estate, Pune, 411013, India

    Shailesh Deshpande & Harrick Vin

  2. Centre of Studies in Resources Engineering, Indian Institute of Technology, Mumbai, 400076, India

    Arun Inamdar

Authors
  1. Shailesh Deshpande
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arun Inamdar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Harrick Vin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Wuhan University, No. 37, Luoyu Road, 430079, Wuhan, Hubei, China

    Fuling Bian

  2. Institute for Geospatial Research and Education, Michigan University, 125 King Hall, 48197, Ypsilanti, MI, USA

    Yichun Xie

  3. Wuhan University, No 37 Luoyu Road, 430079, Wuhan, Hubei, China

    Xiaohui Cui  & Yixin Zeng  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Deshpande, S., Inamdar, A., Vin, H. (2013). Overview of Hyperspectral Remote Sensing of Impervious Surfaces in Urban Environment. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-45025-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45024-2

  • Online ISBN: 978-3-642-45025-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation