Remote Sensing Data Fusion and Applications (2nd Edition)

Dear Colleagues,

The use of remote sensing technology is widespread in our world because it is one of the most effective methods with which to observe the earth. There are a variety of remote sensing platforms, e.g., ground, aerial, and space ones, that carry optical, infrared, radar, and lidar sensors. The processing methods and practical applications of data obtained from remote sensing have received increasing interest from the remote sensing community. The abundance of remote sensing data also presents new opportunities and challenges for researchers. Remote sensing data fusion from multiple sensors has greatly benefited many applications that require more extensive temporal, spatial, or spectral information than any individual sensor can provide.

This Special Issue derives its title from the 9th Youth Geosciences Forum, held on 5–8 May 2025 (http://www.qndxlt.com/index.html). This Special Issue aims to present the most recent research and developments on remote sensing data fusion from sensors at different spatial and temporal resolutions. Topics include, but are not limited to, novel image fusion algorithms based on transform domain, machine learning, and other theoretical approaches. Applications in earth observation are also welcome.

Dr. Linwei Yue
Prof. Dr. Qing Cheng
Dr. Xinghua Li
Dr. Jiang He
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.