A Study of Soil Moisture Estimation from Multi-Temporal L-band Radar Observations of Vegetated Surfaces

被引：0
|
作者：
Ouellette, Jeffrey D. [1 ]
Johnson, Joel T. [1 ]
Balenzano, Anna [2 ]
Mattia, Francesco [2 ]
Satalino, Giuseppe [2 ]
Kim, Seungbum [3 ]
Walker, Jeff P. [4 ]
Panciera, Rocco [5 ]
机构：
[1] Ohio State Univ, 1330 Kinnear Rd, Columbus, OH 43210 USA
[2] CNR, I-00185 Rome, Italy
[3] Jet Prop Lab, Pasadena, CA USA
[4] Monash Univ, Clayton, Vic 3800, Australia
[5] Cooperat Res Ctr Spatial Informat, Carlton, Vic, Australia
来源：
10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014) | 2014年
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Radar retrieval of soil moisture from vegetated surfaces tend to be complex, requiring a robust forward model and detailed ancillary information of the observed scene. Robust forward models for scattering of electromagnetic waves from natural scenes are difficult to achieve, particularly in the presence of vegetation. This study reports on a radar soil moisture retrieval algorithm that reduces the need for a robust forward model. The method is based on the algorithm developed in [1], but generalized to apply to an arbitrary number of polarizations.
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页数：4
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