光电前沿PhotonBrief · LiGRP
← 文献库 / Library

RESEARCH PAPER

Effect of the Polarization Leakage on the SMOS Image Reconstruction Algorithm: Validation Using Ocean Model and In Situ Soil Moisture Data

Ali Khazâal, Delphine Leroux, François Cabot, Philippe Richaume, Éric Anterrieu

IEEE Transactions on Geoscience and Remote Sensing · 2015

Research context

Research on electrical energy conversion, storage and generation dates back to the nineteenth century, but only in recent years have scientists begun to investigate the impact of electron spin on these processes. The ability to control and manipulate this intrinsically quantum property of matter opens new approaches to addressing energy science challenges. The chiral-induced spin selectivity (CISS) effect is central to this effort, as it enables control over the transport and generation of both pure spin currents and spin-polarized charge currents. In this Review, we first introduce design strategies for implementing CISS in materials and then describe examples of how CISS has been used to improve electrocatalysis and spintronics. We conclude with a forward-looking perspective on the next steps for leveraging CISS in energy science.

Keywords: Remote sensing, Interferometry, Brightness temperature, Environmental science, Polarization (electrochemistry), Leakage (economics), Brightness, Moisture, Sea surface temperature, Meteorology, Optics, Geology, Physics, Chemistry, Economics, Macroeconomics, Physical chemistry

Source & review

Bibliographic record reviewed for relevance and publication quality. Full-text findings have not been extracted; consult the original publication for methods and results.

OpenAlex cited-by 7; topical title/abstract and venue audit passed.

7 citations · OpenAlex · observed 2026-09-08

Metadata: OpenAlex · source record ↗

Cite / 引用

Ali Khazâal, Delphine Leroux, François Cabot, Philippe Richaume, Éric Anterrieu. Effect of the Polarization Leakage on the SMOS Image Reconstruction Algorithm: Validation Using Ocean Model and In Situ Soil Moisture Data. IEEE Transactions on Geoscience and Remote Sensing (2015). https://doi.org/10.1109/tgrs.2015.2414092

分享:本论文的永久链接