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http://dx.doi.org/10.12672/ksis.2014.22.1.027

The Application of InSAR Signature Time Series for Landcover Classification  

Yun, Hye Won (Dept. of Geoinformatics, University of Seoul)
Choi, Yun Soo (Dept. of Geoinformatics, University of Seoul)
Yoon, Ha Su (Dept. of Geoinformatics, University of Seoul)
Ko, Jong Sik (Dept. of Geoinformatics, University of Seoul)
Cho, Seong Kil (Dept. of Geoinformatics, University of Seoul)
Publication Information
Spatial Information Research / v.22, no.1, 2014 , pp. 27-33 More about this Journal
Abstract
Considering the wide coverage, the transparency from climate condition, Interferometric Synthetic Aperture Radar (InSAR) possesses a great potential for the landcover classification as shown in many precedent researches. In addition to the merits of InSAR products for the landcover classification, the time series analysis of InSAR pairs can provide a highly reliable basis to interpret landcover. We applied such idea with the test site in Mountain Baekdu located on the border between North Korea and China. Since it is recently noted as the potential volcanic activation site, the landcover especially the vegetation distribution information is highly essential to validate the reliability of Differential Interferometric Synthetic Aperture Radar (DInSAR) over Mt. Baekdu. The algorithms combining the auxiliary information from Moderate Resolution Imaging Spectroradiometer (MODIS) to analyze the phase coherence and backscatter coefficient of Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) was established. The results using InSAR signatures from two polarization modes of ALOS PALSAR showed high reliability for mining landcover and spatial distribution.
Keywords
InSAR; Phase Coherence; Backscatter Coefficient; Time Series; Landcover; Mt. Baekdu;
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Times Cited By KSCI : 2  (Citation Analysis)
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