Assessment of TerraSAR-X for mapping salt marsh

Yoon Kyung Lee, Wook Park, Jong Kuk Choi, Joo Hyung Ryu, Joong Sun Won

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This study presents results of assessment of X-band SAR image for mapping salt marsh. Multi-temporal TerraSAR-X data were acquired with different incidence angle (23°, 31°, and 39°) in mono- and dual polarization modes (HH, VH/VV) for backscattering analysis. Backscattering coefficients from industrial areas were used to confirm the calibration. The types of land cover were differentiated based on seasonally averaged backscattering coefficients of classes. The behavior of backscattering coefficients was also analyzed as a function of SAVI (soil adjusted vegetation index). Decision trees were used to build classification rule sets. Accuracy of classification was estimated by reference image generated from field works and ancillary data.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages2330-2333
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 2011 Jul 242011 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
CountryCanada
CityVancouver, BC
Period11/7/2411/7/29

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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  • Cite this

    Lee, Y. K., Park, W., Choi, J. K., Ryu, J. H., & Won, J. S. (2011). Assessment of TerraSAR-X for mapping salt marsh. In 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings (pp. 2330-2333). [6049676] (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2011.6049676