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Special Issue "Remote Sensing for Air-Sea Interactions"

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

Deadline for manuscript submissions: 30 June 2023 | Viewed by 667

Special Issue Editors

Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Interests: surface processes: modeling and observation; near surface layer parameterization for models; air-sea or land-sea interaction
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: multispectral remote sensing; cloud precipitation; land surface temperature; Doppler lidar; urban boundary layer; data fusion; artificial intelligence and weather prediction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are happy to invite you to submit a paper to a Special Issue of the journal Remote Sensing entitled “Remote Sensing for Air-Sea Interactions”. The aim of this Special Issue is to publish original research manuscripts focused on the application of remote sensing science and technology in estimating the air-sea interactions on various scales. We aim to publish papers related to (1) novel/improved methods and/or retrieval algorithms of satellite remote sensing and radar detection, and (2) satellite/radar data assimilation in weather forecasting and ocean current prediction, to benefit the community, open to everyone in need of them. We encourage submissions from researchers all around the world.

The scope of this Special Issue includes, but is not limited to, the following:

  • Sea surface wind and wave status remote sensing;
  • Lidar retrieval algorithms of atmospheric boundary layer height, sea surface wind, and waves;
  • Satellite and lidar data fusion and assimilation for coastal weather forecast and ocean current prediction;
  • Validation of global database of air-sea interaction forecasting;
  • Remote sensing, lidar detection, and numerical simulation of air-sea interactions under hurricane/typhoon environments.

Prof. Dr. Zhiqiu Gao
Prof. Dr. Yuanjian Yang
Prof. Dr. Kai Qin
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 2500 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

  • air-sea interaction
  • data fusion/assimilation
  • sea surface wind and wave
  • coastal weather forecast
  • ocean current prediction

Published Papers (1 paper)

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Research

Article
SVM-Based Sea Ice Extent Retrieval Using Multisource Scatterometer Measurements
Remote Sens. 2023, 15(6), 1630; https://doi.org/10.3390/rs15061630 - 17 Mar 2023
Viewed by 322
Abstract
This study aims to explore the joint usage of multisource scatterometer measurements in polar sea water and ice discrimination. All radar backscatter measurements from current operating satellite scatterometers are considered, including the C-band ASCAT scatterometer on board the MetOp series satellites, the Ku-band [...] Read more.
This study aims to explore the joint usage of multisource scatterometer measurements in polar sea water and ice discrimination. All radar backscatter measurements from current operating satellite scatterometers are considered, including the C-band ASCAT scatterometer on board the MetOp series satellites, the Ku-band scatterometer on board the HY-2B satellite (HSCAT), and the Ku-band scatterometer on board the CFOSAT satellite (CSCAT). By performing seven experiments that use the same support vector machine (SVM) classifier method but with different input data, we find that the SVM model with all available HSCAT, CSCAT, and ASCAT scatterometer data as inputs gives the best performance. In addition to the SVM outputs, we employ the image erosion/dilation techniques and area growth method to reduce misclassifications of sea water and ice. The sea ice extent obtained in this study shows a good agreement with the National Snow and Ice Data Center (NSIDC) sea ice concentration data from the years 2019 to 2021. More specifically, the sea ice areas are closer to the sea ice areas calculated using 15% as the threshold for NSIDC sea ice concentration data in both Arctic and Antarctic. The sea ice edges acquired by the multisource scatterometer show a close correlation with sea ice edges from the Sentinel-1 Synthetic Aperture Radar (SAR) images. In addition, we found that the coverage of multisource scatterometer data in a half-day is usually above 97%, and more importantly, the sea ice areas obtained on the basis of half-day and daily multisource scatterometer data are very close to each other. The presented work can serve as guidance on the usage of all available scatterometer measurements in sea ice monitoring. Full article
(This article belongs to the Special Issue Remote Sensing for Air-Sea Interactions)
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