ANALYSIS OF POLARIMETRIC SAR DATA FOR SOIL MOISTURE RETRIEVAL

被引：0

作者：

Anconitano, Giovanni ^{[1
]}

Sarabakha, Olena ^{[1
]}

Siad, Si Mokrane ^{[1
]}

Pierdicca, Nazzareno ^{[1
]}

Papale, Lorenzo G. ^{[2
]}

Guerriero, Leila ^{[2
]}

Acuna, Mario A. ^{[3
]}

机构：

[1] Sapienza Univ Rome, Dept Informat Engn Elect & Telecommun DIET, Rome, Italy

[2] Univ Roma Tor Vergata, Dept Civil Engn & Comp Sci Engn DICII, Rome, Italy

[3] Comis Nacl Actividades Espaciales CONAE, Buenos Aires, Argentina

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

L-band; PolSAR; SAOCOM; 1A; Soil Moisture; Vegetation;

D O I：

10.1109/IGARSS52108.2023.10282197

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper, the results obtained by applying two polarimetric SAR decompositions to a time-series of L-band radar data, in terms of scattering contributions, are compared with the simulations of the Tor Vergata electromagnetic model. The objective was to evaluate the capability of polarimetric SAR decompositions to single out those scattering mechanisms mostly correlated to soil moisture or vegetation. We performed the analysis by using L-band full-polarimetric SAOCOM-1A data acquired over an agricultural region in the Monte Buey site (Cordoba Province, Argentina) and by considering five corn fields.

引用

页码：1652 / 1655

页数：4

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