Applications of Radar Remote Sensing in Earth Observation

Dear Colleagues,

Radar remote sensing has emerged as an important tool for Earth observation, transforming our capacity to observe and understand the Earth’s surface and processes. Its distinctive capacity to penetrate the cloud, function during both day and night, and deliver high-resolution data offers invaluable insights into a multitude of phenomena on Earth. With exceptional accuracy and efficiency, radar remote sensing has contributed significantly to a range of fields, including land surface characterization, oceanography, atmospheric studies, and geohazards.

The rapid advancement of radar remote sensing technology has been driven by the increasing availability of satellite missions, including government-funded platforms such as Sentinel-1 and ALOS-2/4, as well as an expanding number of commercial satellites. Furthermore, there is a growing number of advanced airborne and ground-based radar systems and new sensor technologies. This unprecedented data accessibility, in conjunction with the continuous technical innovation including deep learning, offers a unique opportunity to observe and analyze the Earth’s dynamic processes.

This Special Issue aims to showcase the transformative applications of radar remote sensing in Earth observation, including, but not limited to, land cover and land use mapping, forest canopy height and aboveground biomass estimation, and land hazard and risk monitoring. We encourage submissions that highlight innovative research, novel methodologies, and practical applications of radar remote sensing in these and related fields. Submissions are welcome on a wide range of topics, including, but not limited to, the following:

1. Applications of radar remote sensing in land hazard and risk monitoring, such as land subsidence monitoring and change detection.
2. Applications of radar remote sensing in land cover and land use mapping, forest canopy height estimation, aboveground biomass assessment, and other terrestrial studies.
3. Integration of novel radar sensor data with complementary geophysical datasets to enhance our understanding of the Earth system processes.
4. Development of new algorithms and techniques for processing and analyzing radar remote sensing data, including conventional signal processing, deep learning, and other machine learning approaches, with an emphasis on improving accuracy and efficiency.

By highlighting these diverse topics, this Special Issue strives to promote a deeper understanding of the role and significance of radar remote sensing in Earth observation. We invite contributions that push the boundaries of radar remote sensing technology and provide practical insights that advance Earth science, fostering innovative solutions for monitoring and analyzing the Earth's changing environment.

Prof. Dr. Guoman Huang
Prof. Dr. Xiaoli Ding
Prof. Dr. Zhong Lu
Dr. Qingli Luo
Dr. Ling Chang
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.

• SAR
• InSAR
• land cover and land use mapping
• forest canopy height
• aboveground biomass estimation
• land hazard and risk monitoring
• earth system
• deep learning
• machine learning