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Microwave Passive Remote Sensing of Sea Surface Temperature, Salinity and Wind Vector (Second Edition)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1467

Special Issue Editors


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Guest Editor
National Satellite Ocean Application Service, Beijing, China
Interests: microwave radiometer retrieval; calibration; validation

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Guest Editor
Xi’an Institute of Space Radio Technology, China Academy of Space Technology, Xi’an 710100, China
Interests: spaceborne microwave radiometer system; calibration
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Guest Editor
Xi’an Institute of Space Radio Technology, China Academy of Space Technology, Xi’an 710100, China
Interests: microwave radiation and scattering; sea surface winds; whitecap

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Guest Editor
School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang, China
Interests: spaceborne microwave radiometer; calibration and validation; radiative transfer model

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Guest Editor

Special Issue Information

Dear Colleagues,

Accurate, reliable, and timely ocean environmental parameters, including sea surface salinity, temperature, wind vector, sea ice concentration and depth, are very important for many applications, including global climate study, water resource management, numerical weather prediction, coastal management, and Arctic shipping. Space-borne microwave radiometers have been applied to ocean and polar monitoring for several decades, providing a large amount of valuable data products. However, there are still challenges related to measuring these parameters with high accuracy and spatial resolution, especially in cold-water and coastal regions. Therefore, it is necessary to further improve the measurement performance of the space-borne radiometers and develop the advanced algorithm for data processing and geophysical parameters retrieval.

This Special Issue aims to showcase the latest advances, challenges, and applications in the passive microwave remote sensing of oceans and polar regions. We hope that researchers and practitioners from diverse fields will share their knowledge, insights, and experiences to promote the advancement of remote sensing techniques for monitoring ocean and polar environments.

We welcome papers exploring the areas of microwave passive sensors, theory and models of microwave radiation, and in field and laboratory experiments, including, but not limited to, the investigations of microwave radiative transfer models of the sea/ice surface, geophysical parameters retrieval algorithms, and the design and optimization of microwave sensors for measuring sea surface, ice and snow parameters. Submissions addressing low-temperature, extreme weather and coastal measurements for sea surface salinity, temperature, ice and snow using new-type microwave radiometers are particularly encouraged. Furthermore, we invite studies focusing on the detection and mitigation of environmental factors, such as ionosphere, RFI, and rain.

Dr. Wu Zhou
Dr. Yinan Li
Dr. Shubo Liu
Dr. Yili Zhao
Prof. Dr. Shiyang Tang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sea surface salinity, temperature, wind
  • sea ice, snow depth, ice sheet
  • coastal monitoring
  • microwave radiometer
  • retrieval algorithm
  • microwave remote sensing

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Published Papers (1 paper)

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Research

23 pages, 11382 KiB  
Article
Instrument Design and In-Flight Performance of an Airborne Terahertz Ice Cloud Imager
by Rongchuan Lv, Wenyu Gao, Feng Luo, Yinan Li, Zheng He, Congcong Wang, Yan Zhang, Chengzhen Zhang, Daozhong Sun, Jian Shang, Fangli Dou and Xiaodong Wang
Remote Sens. 2024, 16(14), 2602; https://doi.org/10.3390/rs16142602 - 16 Jul 2024
Viewed by 920
Abstract
The Airborne Terahertz Ice Cloud Imager (ATICI) is an airborne demonstration prototype of an ice cloud imager (ICI), which will be launched on the next generation of Fengyun satellites and plays an important role in heavy precipitation detection, typhoon, and medium-to-short-term meteorological/ocean forecasting. [...] Read more.
The Airborne Terahertz Ice Cloud Imager (ATICI) is an airborne demonstration prototype of an ice cloud imager (ICI), which will be launched on the next generation of Fengyun satellites and plays an important role in heavy precipitation detection, typhoon, and medium-to-short-term meteorological/ocean forecasting. At present, it has 13 frequency channels covering 183–664 GHz, which are sensitive to scattering by cloud ice. This paper provides an overview of ATICI and proposes a receiving front-end design scheme using a planar mirror and a quasi-optical feed network which improves the main beam efficiency of each frequency band, with measured values better than 95.5%. It can detect factors such as ice particle size, ice water path, and ice water content in clouds by rotating the circular scanning of the antenna feed system. A high-sensitivity receiver system has been developed and tested for verification. The flight verification results show that the quasi-optical feed network subsystem works well and performs stably under vibration and temperature changes. The system sensitivity is better than 1.5 K, and the domestically produced high-frequency receiver has stable performance, which can meet the conditions of satellite applications. The ATICI performs well and meets expectations, verifying the feasibility of the Fengyun-5 ICI payload. Full article
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