Paper Info
Title
Disaster Monitoring by Fully Polarimetric SAR Data Acquired With ALOS-PALSAR
Abstract
This paper presents scattering power decomposition images of fully polarimetric synthetic aperture radar (SAR) data for disaster monitoring. Utilization of fully polarimetric data can derive full color images with red-green-blue color coding, red for the double-bounce power, green for the volume scattering power, and blue for the surface scattering power, for which each color brightness corresponds to the magnitude. Since disaster events cause the changes of each scattering power, it becomes straightforward for everyone to recognize the changes of the color in the polarimetric decomposed images provided time series data sets are made available. After applying the four-component scattering power decomposition to fully polarimetric image data sets acquired with the Advanced Land Observing Satellite (ALOS) Phased-Array-type L-band SAR (PALSAR), several images are presented for natural disaster monitoring of volcanic activity, snow accumulation, landslides, and tsunami effects caused by great earthquakes. It is seen in the polarimetric decomposition images that the surface scattering power becomes predominant in most disaster areas compared to those in normal situations.
Year
DOI
Venue
2012
10.1109/JPROC.2012.2195469
Proceedings of the IEEE
Keywords
Field
DocType
synthetic aperture radar,scattering matrix,volcanic activity,scattering power decomposition,fully polarimetric sar data,surface scattering power,polarimetric decomposition,phased-array-type l-band sar,disasters,phased array radar,color images,landslides,scattering power decomposition image,color brightness,remote sensing by radar,disaster monitoring,advanced land observing satellite phased-array-type l-band synthetic aperture radar (alos-palsar),double-bounce power,red-green-blue color coding,tsunami effect,polarimetric synthetic aperture radar (polsar),advanced land observing satellite,alos-palsar,volume scattering power,spaceborne radar,snow accumulation,radar imaging,earthquake,time series,time series data set,four-component scattering power decomposition,radar polarimetry,image colour analysis
Radar,Radar imaging,Polarimetry,Interferometric synthetic aperture radar,Side looking airborne radar,Space-based radar,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Geodesy,Geography
Journal
Volume
Issue
ISSN
100
10
0018-9219
Citations 
PageRank 
References 
23
1.48
11
Authors
1
Name
Order
Citations
PageRank
Yoshio Yamaguchi1241.87