Applications of SAR for Environment Observation Analysis

Dear Colleagues,

In recent decades, an unprecedented amount of synthetic aperture radar (SAR) data have been gathered by the remote sensing community, boosting the development of an increasing number of applications for the analysis of our environment. This is due to the ability of SAR sensors to operate independently of solar illuminations and penetrate clouds. Compared with traditional optical imaging, SAR imaging provides more details about the surface of the Earth because of the way in which SAR signals interact with particular surfaces. A common feature among all SAR satellites is their more detailed collection of data about the Earth’s surface, which makes SAR imagery a highly valuable tool for scientists and policymakers to better understand our changing environment.

This Special Issue aims to publish the latest research advances in statistical modelling, processing, and analysis of SAR remote sensing data for environmental observation analysis. Articles may cover applications of SAR polarimetry, interferometry, and tomography in 1) land, including forests, agriculture, and wetlands; 2) oceans, including ship detection, pollution monitoring, and parameter retrieval; 3) cryospheres, including snow, sea, and land ice, and iceberg detection; and 4) hazards, including floods, earthquakes, fires, volcanoes, landsides, and subsidence.  Scholars, researchers, and engineers are cordially invited to submit their high-quality research articles and reviews for publication in this Special Issue.

Articles may address, but are not limited to, one of the following topics:

• Statistical modelling of synthetic aperture radar data for land cover classification, object detection, and change detection;
• Multitemporal big SAR data for environment and resource monitoring;
• Multimodal (multi-frequency, multi-sensor, multi-resolution) SAR data processing for observation analysis;
• Deep learning/machine learning techniques in complex SAR data;
• SAR for sustainable development goals.

Dr. Vahid Akbari
Dr. Nizar Bouhlel
Dr. Alireza Tabatabaeenejad
Prof. Dr. Esra Erten
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 250 words) can be sent to the Editorial Office for assessment.

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.