DOI: 10.1016/j.jag.2015.05.010
Scopus记录号: 2-s2.0-84943618154
论文题名: Development of a snow wetness inversion algorithm using polarimetric scattering power decomposition model
作者: Surendar M ; , Bhattacharya A ; , Singh G ; , Yamaguchi Y ; , Venkataraman G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 42 起始页码: 65
结束页码: 75
语种: 英语
英文关键词: Decomposition
; Dielectric
; Polarimetry
; SAR
; Snow wetness
Scopus关键词: algorithm
; decomposition analysis
; inverse problem
; modeling
; RADARSAT
; snow cover
; synthetic aperture radar
; Himachal Pradesh
; India
英文摘要: In this paper, a new snow wetness estimation model is proposed for full-polarimetric Synthetic Aperture Radar (SAR) data. Surface and volume are the dominant scattering components in wet-snow conditions. The generalized four component polarimetric decomposition with unitary transformation (G4U) based generalized surface and volume parameters are utilized to invert snow surface and volume dielectric constants using the Bragg coefficients and Fresnel transmission coefficients respectively. The snow surface and volume wetness are then estimated using an empirical relationship. The effective snow wetness is derived from the weighted averaged surface and volume snow wetness. The weights are derived from the normalized surface and volume scattering powers obtained from the generalized full-polarimetric SAR decomposition method. Six Radarsat-2 fine resolution full-polarimetric datasets acquired over Himachal Pradesh, India along with the near-real time in situ measurements were used to validate the proposed model. The snow wetness derived from the SAR data by the proposed model with in situ measurements indicated that the absolute error at 95% confidence interval is 1.3% by volume. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79561
Appears in Collections: 气候变化事实与影响
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作者单位: Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Powai, India; Faculty of Engineering, Niigata University, Niigata, Japan
Recommended Citation:
Surendar M,, Bhattacharya A,, Singh G,et al. Development of a snow wetness inversion algorithm using polarimetric scattering power decomposition model[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,42