Paper Info
Title
Extraction of typhoon-damaged forests from multi-temporal high-resolution polarimetric SAR images
Abstract
The purpose of this study is to extract the forests destroyed by typhoons and to quantitatively estimate the damage levels by using high-resolution polarimetric synthetic aperture radar (SAR) data. The study area is located in Tomakomai, Hokkaido, Japan. Two sets of data were acquired before and after the typhoon by the L-band airborne Pi-SAR (Polarimetric-interferometric SAR) with 3m × 3m resolution (4-look in azimuth direction). It was found that the values of RCS (Radar Cross Section) averaged over the whole image after the typhoon damage changed by -0.47 dB, 0.05 dB, and 0.64 dB at HH-, HV-, and VV-polarization respectively in comparison with those before the damage. To fully utilize the data, a scattering model of the linear combination of the cross- and co-polarization RCS changes was developed to estimate the damage levels. Similar analytical approaches were also applied using the three-component decomposition analysis. The changes in RCS of double-, volume- and surfacescattering mechanisms after the damage were respectively 27.5 dB, -0.20 dB and -20.3 dB. Finally, by comparing the results with the ground survey data, the accuracies of 64.1% and 77.7% were obtained for the RCS and decomposition analyses respectively.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5653785
IGARSS
Keywords
Field
DocType
multitemporal high-resolution polarimetric sar,geophysical techniques,typhoon-damaged forests,synthetic aperture radar,storms,polarimetric-interferometric sar,forestry,japan,radar cross-sections,typhoon damage,polarimetric analysis,ground survey data,tomakomai,polarimetric synthetic aperture radar,data acquisition,remote sensing by radar,hokkaido,radar cross section,geophysical signal processing,l-band airborne pi-sar,scattering simulation,radar interferometry,three-component decomposition analysis,radar polarimetry,typhoons,mathematical model,scattering,data models,high resolution,remote sensing,survey data
Linear combination,Typhoon,Computer science,Synthetic aperture radar,Data acquisition,Remote sensing,Polarimetric synthetic aperture radar,Scattering,Polarimetric sar,Geodesy,Radar cross-section
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
3
PageRank 
References 
Authors
0.44
4
3
Name
Order
Citations
PageRank
Haipeng Wang161.97
Kazuo Ouchi211215.71
Ya-Qiu Jin324135.84