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Topographic Relief Mapping on Inter-tidal Mudflat in Kyongki Bay Area Using Infrared Bands of Multi-temporal Landsat TM Data

  • Lee, Kyu-Sung (Department of Geoinformatic Engineering, Inha University) ;
  • Kim, Tae-Hoon (Department of Geoinformatic Engineering, Inha University)
  • Published : 2004.06.01

Abstract

The objective of this study is to develop a method to generate micro-relief digital elevation model (DEM) data of the tidal mudflats using multi-temporal Landsat Thematic Mapper (TM) data. Field spectroscopy measurements showed that reflectance of the exposed mudflat, shallow turbid water, and normal coastal water varied by TM band wavelength. Two sets of DEM data of the inter-tidal mudflat area were generated by interpolating several waterlines extracted from multi-temporal TM data acquired at different sea levels. The waterline appearing in the near-infrared band was different from the one in the middle-infrared band. It was found that the waterline in TM band 4 image was the boundary between the shallow turbid water and normal coastal water and used as a second contour line having 50cm water depth in the study area. DEM data generated by using both TM bands 4 and 5 rendered more detailed topographic relief as compared to the one made by using TM band 5 alone.

Keywords

References

  1. Ahn, C. H., Y. K. Lee, H. R. Yoo, and J. K. Oh, 1989. Application of Satellite Data on Geomorphological Study of the Tidal Flats near Kum River Estuary,. Journal of the Korean Society of Remote Sensing, 5: 1-12
  2. Bierwirth, P. N., T. 1. Lee, and R. V. Burne, 1993. Shallow Sea-Floor Reflectance and Water Depth Derived by Unmixing Multi-spectral Imagery. Photogrammetric Engineering and Remote Sensing, 59: 331-338
  3. Chen, L. C. and J. Y. Rau, 1998. Detection of Shoreline Changes for Tideland Areas Using Multitemporal Satellite Images, International Journal of Remote Sensing, 19:3383-3397 https://doi.org/10.1080/014311698214055
  4. Cracknell, A. P., 1999. Remote sensing techniques in estuaries and coastal zones-an update, International Journal of Remote Sensing, 20:485-496
  5. Frazier, P. S. and K. J.Page, 2000. Water body detection and delineation with Landsat TM data, Photogrammetric Engineering and Remote Sensing, 66: 1461- 1467
  6. Frihy, O. E., S. M. Nasr, M. M. El Hattab, and M. El Raey, 1994. Remote Sensing of beach erosion along the Rosetta Promontory Northwestern Nile Delta, Egypt, International Journal of Remote Sensing, 5: 1649-1660
  7. Hickey, R.R.,R.Watkins, R. Carew, T. Piersma, and G.Pearson, 2000. Tidal Inundation Modeling in Roebuck Bay, Western Australia, Geo Asia Pacific, Feb./Mar. 2000,pp.47-50
  8. Hong, J. S., 1998. Tidal Flat in Korea, Daewonsa, Seoul, Korea
  9. Hutchinson, M. F., 1989. A new procedure for gridding elevation and stream line data with automatic removal of spurious pits, Journal of Hydrology,106: 211-232
  10. Jensen, 1. R., 1996. Introductory Digital Remote Image Processing -A Remote Sensing Perspective, $2^{nd}ed.,New Jersey: Prentice-Hall
  11. Lee, K. S., T. H. Kim, Y. S. Yun, and S. M. Shin, 2001.Spectral Characterisitcs of Shallow Turbid Water near the Shoreline on Inter-tidal Flat, Korean Journal of Remote Sensing, 17(2):131-139
  12. Lunetta, R. S. and M. E. Balogh, 1999. Application of Multi-temporal Landsat 5 TM Imagery for Wetland Identification, Photogrammetric Engineering and Remote Sensing, 65: 1303-1310
  13. Manavalan, P., P. Sathyanath, and G. L. Rajegowda,1993. Digital image analysis techniques to estimate waterspread for capacity evaluations of reservoirs, Photogrammetric Engineering and Remote Sensing, 59: 1389-1395
  14. Odum, P.O., 1989. Ecology and OutEndangered LifeSupport Systems, Massachusetts: Sinauer
  15. Ryu,1. H., W.1. Cho,1. S. Won,I. T. Lee, S. S. Chun,A. S. Suh, and K. L. Kim,2000. Intertidal DEM generation using waterline extracted from remotely sensed data, Journal of the Korean Society of Remote Sensing, 16:221-233
  16. Ryu.J. H., J. S. Won, and K. D. Min, 2002. Waterline extraction from Landsat TM data in a tidal flat A case study in Gomso Bay, Korea. Remote Sensing of Environment, 82:442-456
  17. Welch, R., M. M. Remillard, and J. Alberts, 1992.Integration of GPS, Remote Sensing, and GIS Techniques for Coastal Resource Management, Photogrammetric Engineering and Remote Sensing, 58: 1571-1578