Soil Moisture Inversion Using Hybrid Polarimetric RISAT-1 Data

被引：0
|
作者：
Ponnurangam, G. G. [1 ,3 ]
Thomas, Jagdhuber [1 ]
Irena, Hajnsek [1 ,2 ]
Rao, Y. S. [3 ]
机构：
[1] German Aerosp Ctr DLR, Cologne, Germany
[2] Swiss Fed Inst Technol, Zurich, Switzerland
[3] Indian Inst Technol, CSRE, Bombay, Maharashtra, India
来源：
10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014) | 2014年
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D O I：
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中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Hybrid polarimetry gains strongly in interest within the SAR community due to the availability of first hybrid polarimetric data from the Indian RISAT-1 satellite for earth observation. Hybrid polarimetry outperforms dual polarimetry, for instance, regarding classification of various land cover, and is therefore also a promising technique to extract geo-physical parameters of the land surface. In this paper, a methodology based on an established compact polarimetric decomposition theorem together with a surface component inversion is investigated to invert surface soil moisture from hybrid polarimetric SAR data. The compact model-based decomposition technique is used to obtain the surface scattering component under a randomly oriented vegetation volume. After vegetation removal the surface scattering component is inverted for soil moisture by comparison with a rank-1surface scattering component described by the IEM model. The inversion results from RISAT-1 data from Karjan test site in India comprise both bare and vegetation covered soils. The first soil moisture inversion provides values in a meaningful range. The validation of results is ongoing.
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页数：4
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