Skip to main content

GIS and Remote Sensing to Study Urban-Rural Transformation During a Fifty-Year Period

  • Conference paper
Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6782))

Included in the following conference series:

Abstract

A relevant issue in Remote Sensing (RS) and GIS is related to the analysis and the characterization of Land Use Land Cover (LULC) changes, very useful for a wide range of environmental applications and to efficiently undertake landscape planning and management policies. The methodology described has been applied to a case-study conducted in the area of the Province of Avellino (Southern Italy). Firstly, aerial photos and Landsat imagery have been classified to produce LULC maps for a fifty-year period (1954÷2004). Then, through a GIS approach, change detection and spatiotemporal analysis has been integrated to characterize LULC dynamics, focusing on the urban-rural gradient. This study has shown that LULC patterns and their changes are linked to both natural and social processes whose driving role has been clearly demonstrated: after the disastrous Irpinia earthquake (1980), local specific zoning laws and urban plans have significantly addressed landscape changes.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Michalak, W.Z.: GIS in land use change analysis: integration of remotely sensed data into GIS. Appl. Geogr. 13, 28–44 (1993)

    Article  Google Scholar 

  2. Telesca, L., Coluzzi, R., Lasaponara, R.: Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery. In: Murgante, B., Borruso, G., Lapucci, A. (eds.) Geocomputation & Urban Planning. SCI, vol. 176, pp. 209–222. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Masek, J.G., Lindsay, F.E., Goward, S.N.: Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. Int. J. Remote Sens. 21, 3473–3486 (2000)

    Article  Google Scholar 

  4. Yang, X., Lo, C.P.: Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int. J. Remote Sens. 23, 1775–1798 (2002)

    Article  Google Scholar 

  5. Yuan, F., Sawaya, K.E., Loeffelholz, B.C., Bauer, M.E.: Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sens. Envir. 98(2&3), 317–328 (2005)

    Article  Google Scholar 

  6. Sudhira, H.S., Ramachandra, T.V., Jagdish, K.S.: Urban sprawl: metrics, dynamics and modelling using GIS. Int. J. Appl. Earth Obs. 5, 29–39 (2004)

    Article  Google Scholar 

  7. Wilson, E.H., Hurd, J.D., Civco, D.L., Prisloe, S., Arnold, C.: Development of a geospatial model to quantify, describe and map urban growth. Remote Sensing of Environment 86(3), 275–285 (2003)

    Article  Google Scholar 

  8. Antrop, M.: Changing patterns in the urbanized countryside of Western Europe. Landscape Ecolo 15(3), 257–270 (2000)

    Article  Google Scholar 

  9. Antrop, M.: Landscape change and the urbanization process in Europe. Landscape Urban Plan 67, 9–26 (2004)

    Article  Google Scholar 

  10. EEA (European Environment Agency): Urban sprawl in Europe: The ignored challenge. EEA Report No. 10/2006, Copenhagen, Denmark (2006)

    Google Scholar 

  11. Antrop, M.: Why landscapes of the past are important for the future. Landscape Urban Plan 70, 21–34 (2005)

    Article  Google Scholar 

  12. Lucas, R., Rowlands, A., Brown, A., Keyworth, S., Bunting, P.: Rule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping. ISPRS J. Photogramm. 62, 165–185 (2007)

    Article  Google Scholar 

  13. Song, C., Woodcock, C.E., Seto, K., Lenney, M.P., Macomber, S.: Classification and change detection using Landsat TM data: when and how to correct atmospheric effects. Remote Sens. Environ. 75, 230–244 (2001)

    Article  Google Scholar 

  14. Lillesand, T., Kiefer, R., Chipman, J.: Remote sensing and image interpretation. Wiley, New York (2003)

    Google Scholar 

  15. Congalton, R.G.: A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 37(1), 35–46 (1991)

    Article  Google Scholar 

  16. Congalton, R.G., Green, K.: Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. CRCPress Taylor & Francis Group, Boca Raton (2009)

    Google Scholar 

  17. Fichera, C.R., Modica, G., Pollino, M.: Characterizing land cover change using multi-temporal remote sensed imagery and landscape metrics. In: Las Casas, G., Pontrandolfi, P., Murgante, B. (eds.) Informatica e Pianificazione Urbana e Territoriale - Atti della Sesta Conferenza Nazionale INPUT 2010, Potenza (2010)

    Google Scholar 

  18. Lo, C.P., Shipman, R.L.: A GIS approach to land-use change dynamics detection. Photogramm. Eng. Rem. S. 56, 1483–1491 (1990)

    Google Scholar 

  19. Petit, C.C., Lambin, E.F.: Integration of multi-source remote sensing data for land cover change detection. Int. J. Geogr. Inf. Sci. 15(8), 785–803 (2001)

    Article  Google Scholar 

  20. Singh, A.: Digital Change Detection Techniques using Remotely Sensed Data. Int. J. Remote Sens. 10, 989–1003 (1989)

    Article  Google Scholar 

  21. Lu, D., Mausel, P., Brondízio, E., Moran, E.: Change detection techniques. Int. J. Remote Sens. 25(12), 2365–2401 (2004)

    Article  Google Scholar 

  22. Jensen, J.R., Ramsat, E.W., Mackey, H.E., Christensen, E.J., Sharitz, R.P.: Inland wetland change detection using aircraft MSS data. Photogramm. Eng. Rem. S. 53, 521–529 (1987)

    Google Scholar 

  23. Dimyati, M., Mizuno, K., Kobayashi, S., Kitamura, T.: An analysis of land use/cover change using the combination of MSS Landsat and land use map-a case study in Yogyakarta, Indonesia. Int. J. Remote Sens. 17, 931–944 (1996)

    Article  Google Scholar 

  24. Taylor, J.C., Brewer, T.R., Bird, A.C.: Monitoring landscape change in the national parks of England and Wales using aerial photo interpretation and GIS. Int. J. Remote Sens. 21, 2737–2752 (2000)

    Article  Google Scholar 

  25. Fichera, C.R., Modica, G., Pollino, M.: Remote sensing and GIS for rural/urban gradient detection. In: XVIIth World Congress of the International Commission of Agricultural Engineering (CIGR), Québec City, Canada (2010)

    Google Scholar 

  26. Congalton, R.G., Macleod, R.D.: Change detection accuracy assessment on the NOAA Chesapeake Bay Pilot Study. In: International Symposium on the Spatial Accuracy of Natural Resources Data Bases, pp. 78–87. ASPRS, Williamsburg (1994)

    Google Scholar 

  27. Huang, B., Zhang, L., Wu, B.: Spatiotemporal analysis of rural-urban land conversion. Int. J. Geogr. Inf. Sci. 23(3), 379–398 (2009)

    Article  Google Scholar 

  28. Mayer, C.J., Somerville, C.T.: Land use regulation and new construction. Reg. Sci. Urban Econ. 30, 639–662 (2000)

    Article  Google Scholar 

  29. Verburg, P.H., Koning, G.H.J., Kok, K., Veldkamp, A., Priess, J.: The CLUE modelling framework: an integrated model for the analysis of land use change. In: Singh, R.B., Jefferson, F., Himiyama, Y. (eds.) Land Use and Cover Change, Science Publishers, Enfield (2001)

    Google Scholar 

  30. Bhatta, B.: Analysis of Urban Growth and Sprawl from Remote Sensing Data. Springer, Heidelberg (2010)

    Book  Google Scholar 

  31. Fotheringham, S., Rogerson, P.: Spatial analysis and GIS. Taylor & Francis, London (1994)

    Google Scholar 

  32. Italian National Institute of Statistics, http://www.istat.it

  33. Murgante, B., Las Casas, G., Sansone, A.: A spatial rough set for locating the periurban fringe. In: Batton-Hubert, M., Joliveau, T., Lardon, S. (eds.) SAGEO 2007, Rencontres internationales Géomatique et territoire (2007)

    Google Scholar 

  34. Forman, R.T.T.: Land Mosaics: The Ecology of Landscapes and Regions. Cambridge University Press, Cambridge (1995)

    Google Scholar 

  35. Vizzari, M.: Spatial modelling of potential landscape quality. Appl. Geogr. 31(1), 108–118 (2011)

    Article  Google Scholar 

  36. Bhatta, B.: Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. Int. J. Remote Sens. 30(18), 4733–4746 (2009)

    Article  Google Scholar 

  37. Roca, J., Burnsa, M.C., Carreras, J.M.: Monitoring urban sprawl around Barcelona’s metropolitan area with the aid of satellite imagery. In: Proceedings of Geo-Imagery Bridging Continents, XXth ISPRS Congress, Istanbul, Turkey, July 12–23 (2004)

    Google Scholar 

  38. Almeida, C.M., Monteiro, A.M.V., Mara, G., Soares-Filho, B.S., Cerquera, G.C., Pennachin, C.S.L., Batty, M.: GIS and remote sensing as tools for the simulation of urban land-use change. Int. J. Remote Sens. 26, 759–774 (2005)

    Article  Google Scholar 

  39. Harvey, R.O., Clark, W.A.V.: The nature and economics of urban sprawl. Land Economics 41(1), 1–9 (1965)

    Article  Google Scholar 

  40. Hahs, A., Mcdonnell, M.: Selecting independent measures to quantify Melbourne’s urban–rural gradient. Landscape Urban Plan 78(4), 435–448 (2006)

    Article  Google Scholar 

  41. Saizen, I., Mizuno, K., Kobayashi, S.: Effects of land-use master plans in the metropolitan fringe of Japan. Landscape Urban Plan 78, 411–421 (2006)

    Article  Google Scholar 

  42. Zhang, Y., Guindon, B.: Using satellite remote sensing to survey transport-related urban sustainability: Part 1: Methodologies for indicator quantification. Int. J. Appl. Earth Obs. 8(3), 149–164 (2006)

    Article  Google Scholar 

  43. Hardin, P.J., Jackson, M.W., Otterstrom, S.M.: Mapping, Measuring, and Modeling Urban Growth. In: Jensen, R.R., Gatrell, J.D., McLean, D. (eds.) Geo-Spatial Technologies in Urban Environments, Springer, Heidelberg (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fichera, C.R., Modica, G., Pollino, M. (2011). GIS and Remote Sensing to Study Urban-Rural Transformation During a Fifty-Year Period. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21928-3_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21928-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21927-6

  • Online ISBN: 978-3-642-21928-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics