Paper Info
Title
Assessment of Snow Status Changes Using L-HH Temporal-Coherence Components at Mt. Dagu, China
Abstract
Multitemporal Phased Array type L-band Synthetic Aperture Radar (PALSAR) horizontally transmitted and horizontally received (HH) coherence data was decomposed into temporal-coherence, spatial-coherence, and thermal noise components. The multitemporal data spanned between February and May of 2008, and consisted of two pairs of interferometric SAR (InSAR) images formed by consecutive repeat passes. With the analysis of ancillary data, a snow increase process and a snow decrease process were determined. Then, the multiple temporal-coherence components were used to study the variation of thawing and freezing statuses of snow because the components can mostly reflect the temporal change of the snow that occurred between two data acquisitions. Compared with snow mapping results derived from optical images, the outcomes from the snow 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 have developed a critical means to assess the water resource in alpine areas.
Year
DOI
Venue
2015
10.3390/rs70911602
REMOTE SENSING
Keywords
Field
DocType
change detection,interferometric SAR (InSAR),multitemporal coherence data,snow cover and status change,temporal-coherence component
Ancillary data,Change detection,Interferometric synthetic aperture radar,Synthetic aperture radar,Remote sensing,Interferometry,Coherence (physics),Geology,Temporal change,Snow
Journal
Volume
Issue
ISSN
7
9
2072-4292
Citations 
PageRank 
References 
0
0.34
12
Authors
5
Name
Order
Citations
PageRank
Yong Wang1425.77
Lei Wang2401111.60
Hong Li316037.11
Yuanyuan Yang4489171.03
Taoli Yang5244.81