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Progress in Remote Sensing of Low-Altitude Wind Field Detection

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

Deadline for manuscript submissions: 15 April 2026 | Viewed by 139

Special Issue Editors


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Guest Editor
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: remote sensing; coherent Doppler lidar; wind camera
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
Interests: cloud radar and its application; remote sensing of cloud and precipitation properties; zenithal meteorological radar and its application; Doppler wind lidar and its application
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The low-altitude atmosphere is a complex and highly variable environment, where phenomena such as wind shear, microburst, and turbulence pose significant challenges and safety risks. The accurate detection of low-altitude wind fields is critically important for a wide range of fields, including aviation safety, wind energy, and meteorological forecasting. Furthermore, as the low-altitude economy develops rapidly, the importance of low-altitude wind field detection has become even more prominent.

This Special Issue calls for original research, reviews, methodology papers, and case studies that demonstrate progress in remote sensing of low-altitude wind field detection. This Special Issue’s scope includes, but is not limited to, the following topics:

  • Advances in wind detection instruments, such as wind lidar, weather radars, and UAV-mounted wind sensors.
  • Machine learning algorithms for wind field retrieval and forecasting.
  • Method and model of 2D/3D wind retrieval.
  • Fusion and assimilation of multi-source wind data from multiple platforms.
  • Typical applications of low-altitude wind field remote sensing.
  • Identification and assessment of hazardous weather in low-altitude atmosphere.
  • Methods for retrieval of multiple meteorological parameters in low-altitude atmosphere.
  • Progress in boundary-layer meteorological detection.

We look forward to receiving your original research to foster a deeper understanding of the low-altitude wind environment.

Dr. Jinlong Yuan
Dr. Jiafeng Zheng
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

  • wind detection
  • low-altitude economy
  • remote sensing instrument
  • wind shear
  • turbulence
  • machine learning

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Published Papers

This special issue is now open for submission.
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