1,616
Views
23
CrossRef citations to date
0
Altmetric
Articles

Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands

, , &
Pages 2793-2815 | Received 21 Jun 2008, Published online: 19 Jul 2010

References

  • Akin, A., 2007, Assessing different remote sensing techniques to detect land use/cover changes in coastal zone of Cukurova Deltas. MSc thesis, Cukurova University Institution of Basic and Applied Sciences, Department of Landscape Architecture.
  • Altan, T., Artar, M., Atik, M. and Cetinkaya, G., 2004, Cukurova Delta Biosphere Reserve Project. EU Life Third Countries TCY 99/TR/087 (Adana, Turkey: Cukurova University, Department of Landscape Architecture).
  • Atkinson, P.M. and Aplin, P., 2004, Spatial variation in land cover and choice of spatial resolution for remote sensing. International Journal of Remote Sensing, 25, pp. 3687–3702.
  • Augusteijn, M.F., Clemens, L.E. and Shaw, K.A., 1995, Performance evaluation of texture measures for ground cover identification in satellite images by means of a neural network classifier. IEEE Transactions on Geoscience and Remote Sensing, 33, pp. 616–625.
  • Benediktsson, J.A. and Sveınsson, J.R., 1997, Feature extraction for multisource data classification with artificial neural networks. International Journal of Remote Sensing, 18, pp. 727–740.
  • BerberoĞlu, S., 1999, Optimising the remote sensing of Mediterranean land cover. PhD thesis, Department of Geography, Faculty of Science, University of Southampton.
  • BerberoĞlu, S. and Akin, A., 2008, Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. International Journal of Applied Earth Observation and Geoinformation, 11, pp. 46–53.
  • BerberoĞlu, S., Curran, P.J., Lloyd, C.D. and Atkinson, P.M., 2007, Texture classification of Mediterranean land cover. International Journal of Applied Earth Observation and Geoinformation, 9, pp. 322–334.
  • BerberoĞlu, S., Lloyd, C.D., Atkinson, P.M. and Curran, P.J., 2000, The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. Computers and Geosciences, 26, pp. 385–396.
  • Bian, L. and Walsh, S.J., 1992, Scale dependencies of vegetation and topography in a mountainous environment of Montana. Professional Geographer, 45, pp. 1–11.
  • Bruzzone, L., Contese, C., Maselli, F. and Foli, F., 1997, Multisource classification of complex rural areas by statistical and neural-network approaches. Photogrammetric Engineering and Remote Sensing, 63, pp. 523–533.
  • Byrne, G.F., Crapper, P.F. and Mayo, K.K., 1980, Monitoring land cover change by principal components analysis of multitemporal Landsat data. Remote Sensing of Environment, 10, pp. 175–184.
  • Chavez, P.S., 1996, Image-based atmospheric corrections revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, pp. 1025–1036.
  • Colwell, J.E., Davis, G. and Thomson, F., 1980, Detection and Measurement of Changes in the Production and Quality of Renewable Resources. USDA Forest Service Final Report No. 145300-4-F (Ann Arbor, Michigan: ERIM).
  • Congalton, R.G., 1991, A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 37, pp. 35–46.
  • Connors, R.W., Trivedi, M.M. and Harlow, C.A., 1984, Segmentation of a high resolution urban scene using texture operators. Computer Vision Graphics and Image Processing, 25, pp. 273–310.
  • Coppin, P.R. and Bauer, M.E., 1996, Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews, 13, pp. 207–234.
  • Curran, P.J., 1988, The semivariogram in remote sensing: an introduction. Remote Sensing of Environment, 24, pp. 493–507.
  • Curran, P.J. and Atkinson, P.M., 1998, Geostatistics and remote sensing. Progress in Physical Geography, 22, pp. 61–78.
  • D’Angelo, M., Enne, G., Madrau, S., Percich, L., Previtali, F., Pulina, G. and Zucca, C., 2000, Mitigating land degradation in Mediterranean agro-silvo-pastoral systems: a GIS-based approach. Catena, 40, pp. 37–49.
  • Deer, P.J., 1995, Digital change detection techniques: civilian and military applications. In International Symposium on Spectral Sensing Research (Greenbelt, MD: Goddard Space Flight Center). Available online at: ltpwww.gsfc.nasa.gov/ISSSR-95/digitalc.htm
  • Deutsch, C.V. and Journel, A.G., 1992, GSLIB: Geostatistical Software Library and User’s Guide (New York: Oxford University Press).
  • Dickinson, R., 1995, Land processes in climate models. Remote Sensing of Environment, 51, pp. 27–38.
  • Dikshit, O., 1996, Textural classification for ecological research using ATM images. International Journal of Remote Sensing, 17, pp. 887–915.
  • Dreyer, P., 1993, Classification of land cover using optimised neural nets on SPOT data. Photogrammetric Engineering and Remote Sensing, 59, pp, 617–621.
  • Du, Y., Teillet, P.M. and Cihlar, J., 2002, Radiometric normalization of multitemporal high-resolution satellite ımages with quality control for land cover change detection. Remote Sensing of Environment, 82, pp. 123–134.
  • Foody, G.M., 2001, Accuracy of thematic maps derived from remote sensing. In Accuracy 2000: Proceedings of the 4th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Science, G.B.M. Heuvelink and M.J.P.M. Lemmens (Eds), pp. 217–224 (Delft, Holland: Delft University Press).
  • Goodman, S., 1999, Toward evidence-based medical statistics. 1: The P value fallacy. Annals of International Medicine, 130, pp. 995–1004.
  • Goovaerts, P., 1997, Geostatistics for Natural Resources Evaluation (New York: Oxford University Press).
  • Haack, B., 1996, Monitoring wetland changes with remote sensing: an East African example. Environmental Management, 20, pp .411–419.
  • Hall, C.A.S., Tian, H., Qi, Y., Pontius, G. and Cornell, J., 1995, Modeling spatial and temporal patterns of tropical land use change. Journal of Biogeography, 22, pp. 753–757.
  • Haralick, R.M., Shanmugam, K. and Dinstein, I., 1973, Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 3, pp. 610–621.
  • Howarth, P.J. and Wickware, G.M., 1981, Procedures for change detection using Landsat. International Journal of Remote Sensing, 2, pp. 277–291.
  • Isaaks, E.H. and Srivastava, R.M., 1989, An Introduction to Applied Geostatistics (New York: Oxford University Press).
  • Jensen, J.R., Rutchey, K., Koch, M.S. and Narumalani, S., 1995, Inland wetland change detection in the Everglades Water Conservation Area 2A using a time series of normalised remotely sensed data. Photogrammetric Engineering and Remote Sensing, 61, pp. 199–209.
  • Johnson, R.D. and Kasischke, E.S. 1998, Change Vector Analysis: A technique for the multispectral monitoring of land cover and condition. International Journal of Remote Sensing, 19, pp. 411–426.
  • Kadmon, R. and Kremer, R.H., 1999, Studying long-term vegetation dynamics using digital processing of historical aerial photographs. Remote Sensing of Environment, 68, pp. 164–176.
  • Kalkhan, M.A., Reich, R.M. and Czaplewski, R.L., 1997, Variogram estimates and confidence intervals for the Kappa measure of classification accuracy. Canadian Journal of Remote Sensing, 23, pp. 210–216.
  • Koukoulas, S. and Blackburn, G.A., 2001, Introducing new ındices for accuracy evaluation of classified ımages representing semi-natural woodland environments, Photogrammetric Engineering and Remote Sensing, 67, pp. 499–510.
  • Lillesand, T.M. and Kıefer, R.W., 1994, Remote Sensing and Image Interpretation (New York: Oxford University Press).
  • Liu, Y., Nıshıyama, S. and Yano, T., 2004, Analysis of four change detection algorithms in bi-temporal space with a case study. International Journal of Remote Sensing, 25, pp. 2121–2139.
  • Lloyd, C.D., BerberoĞlu, S., Atkinson, P.M. and Curran, P.J., 2004, A comparison of texture measures for the per-field classification of Mediterranean land cover International Journal of Remote Sensing, 25, pp. 3943–3965.
  • Mackey, H.E., 1993, Six years of monitoring annual changes in a fresh water marsh with SPOT HRV data. In Looking to the Future With an Eye on the Past, Vol. 2, A.J. Lewis, pp. 222–229 (Bethesda: American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping).
  • Malila, W.A., 1980, Change Vector Analysis: An approach for detecting forest changes with Landsat. In Proceedings, Machine Processing of Remotely Sensed Data Symposium, Purdue University, West Lafayette, Indiana, pp. 326–335 ( Ann Arbor, MA: ERIM).
  • Markham, A., Dudley, N. and Stolton, S., 1993, Some Like it Hot: Climate Change, Biodiversity and the Survival of Species (Gland: WWF International).
  • Miranda, F.P. and Carr, J.R., 1994, Application of the semivariogram textural classifier (STC) for vegetation discrimination using SIR-B data of the Guiana Shield, north-western Brazil. Remote Sensing Reviews, 10, pp. 155–168.
  • Mouat, D.A., Mahin, G.C. and Lancaster, J.S., 1993, Remote sensing techniques in the analysis of change detection. Geocarto International, 2, pp. 39–50.
  • Nackaerts, K., Vaesen, K., Muys, B. and Coppin, P., 2005, Comparative performance of a modified change vector analysis in forest change detection. International Journal of Remote Sensing, 26, pp. 839–852.
  • Nelson, R.F., 1983, Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing, 49, pp. 1303–1314.
  • Nemmour, H. and Chibani, Y., 2006, Multiple support vector machines for land cover change detection: An application for mapping urban extensions, Photogrammetric Engineering and Remote Sensing, 61, pp. 125–133.
  • Ramstein, G. and Raffy, M., 1989, Analysis of the structure of radiometric remotely-sensed images. International Journal of Remote Sensing, 10, pp. 1049–1073.
  • Ringrose, S., Matheson, W. and Boyle, T., 1988, Differentiation of ecological zones in the Okavango Delta, Botswana, by classification and contextual analyses of Landsat MSS data. Photogrammetric Engineering and Remote Sensing, 54, pp. 601–608.
  • Rubin, T., 1990, Analysis of radar texture with variograms and other simplified descriptors. In Proceedings, Image Processing ′89, pp. 185–195 (Church Falls, VA: American Society for Photogrammetry and Remote Sensing).
  • Sali, E. and Wolfson, H., 1992, Texture classification in aerial photographs and satellite. International Journal of Remote Sensing, 24, pp. 3311–3340.
  • Serpico, S.B. and Bruzzone, L., 1999, Change detection. In Information Processing for Remote Sensing, C.H. Chen (Ed.), pp. 319–336 (Singapore: World Scientific Publishing).
  • Serra, P., Pons, X. and Sauri, D., 2003, Post-classification change detection with data from different sensors: some accuracy considerations. International Journal of Remote Sensing, 24, pp. 3311–3340.
  • Serrano, V.S.M., Cabello, F.P. and Lasanta, T., 2008, Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images. Remote Sensing of Environment, 112, pp. 3916–3934.
  • Singh, A., 1986, Change detection in the tropical forest environment of northeastern India using Landsat. In Remote Sensing and Tropical Land Management, M.J. Eden and J.T. Parry, pp 237–254 (New York: J. Wiley).
  • Singh, A., 1989, Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, pp. 989–1003.
  • Sonka, M., Hlavac, V. and Boyle, R., 1999, Image Processing, Analysis and Machine Vision (London, UK: Chapman and Hall Computing).
  • Türker, M. and San, B.T., 2003, SPOT HRV data analysis for detecting earthquake-induced changes in Izmit, Turkey. International Journal of Remote Sensing, 24, pp. 2439–2450.
  • Uzun, G., Yucel, M., Yılmaz, K.T. and Berberoglu, S., 1995, Biotope Mapping in the Cukurova Deltas. Turkish Scientific and Technical Resarch Centre, Nr. TUBITAK- 17 TBAG.1164, Final Report (Adana, Turkey).
  • Vapnik, V., 1995, The Nature of Statistical Learning Theory, 1st edn (New York: Springer Verlag), 2nd edn (Pacific Grove: PWS Publishing).
  • Weismiller, R.A., Kristof, S.J., Scholz, D.K., Anuta, P.E. and Momin, S.A., 1977, Change detection in coastal zone environments. Photogrammetric Engineering and Remote Sensing, 43, pp. 1533–1539.
  • Williams, M., 1990, Protection and retrospection. In Wetlands: A Threatened Landscape, M. Williams (Ed.), pp. 325–353 (Oxford: Blackwell).
  • Wink, R. and King, D., 2006, Comparison of techniques for forest change mapping using Landsat data in Karnataka, India. Geocarto International, 21, pp. 49–57.
  • Wood, J., 1996, The geomorphological characterisation of Digital Elevation Models. PhD thesis, University of Leicester, Leicester, UK.
  • Zoran, M. and Anderson, E., 2006, The use of multi-temporal and multispectral satellite data for change detection analysis of the Romanian Black Sea coastal zone. Journal of Optoelectronics and Advanced Materials, 8, pp. 252–256.