Assessment of Snow Status Changes Using L-HH Temporal-Coherence Components at Mt. Dagu, China

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Yong,Wang,Lei,Li,Hong,Yang,Yuanyuan,Yang,Taoli Wang (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: Multitemporal Phased Array type L-band Synthetic Aperture Radar (PALSAR)horizontally transmitted and horizontally received (HH) coherence data was decomposedinto temporal-coherence, spatial-coherence, and thermal noise components. Themultitemporal data spanned between February and May of 2008, and consisted of two pairsof interferometric SAR (InSAR) images formed by consecutive repeat passes. With theanalysis of ancillary data, a snow increase process and a snow decrease process weredetermined. Then, the multiple temporal-coherence components were used to study thevariation of thawing and freezing statuses of snow because the components can mostlyreflect the temporal change of the snow that occurred between two data acquisitions.Compared with snow mapping results derived from optical images, the outcomes from thesnow increase process and the snow decrease process reached an overall accuracy of 71.3%and 79.5%, respectively. Being capable of delineating not only the areas with or without snow cover but also status changes among no-snow, wet snow, and dry snow, we havedeveloped a critical means to assess the water resource in alpine areas.

Additional Information

Publication

Other

Language: English

Date: 2015

Keywords

change detection; interferometric SAR (InSAR); multitemporal coherence data; snow cover and status change; temporal-coherence component

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