Deep Learning for Land Use and Land Cover Change Monitoring with Optical and SAR Images
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 93
Special Issue Editors
2. Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02120, Republic of Korea
Interests: SAR; InSAR; GeoAI; sensor modeling; satellite image processing
Special Issues, Collections and Topics in MDPI journals
Interests: SAR; InSAR; time-series modeling; SAR CalVal
Special Issues, Collections and Topics in MDPI journals
Interests: SAR; InSAR; PSInSAR; geophysical modeling; volcanoes; landslides; geohazards
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on discussing research that utilizes state-of-the-art deep learning techniques from optical and synthetic aperture radar (SAR) imagery to monitor land use and land cover changes. In recent years, evolving deep learning techniques have shown excellent results in analyzing optical and SAR images to accurately detect Earth's surface changes, which are caused by various factors such as natural and anthropogenic hazards and environmental changes. Deep learning research in land use and land cover change monitoring emphasizes the richness and diversity of training data and models trained in various geographical regions and environmental conditions. Through the innovative use of deep learning technology, global change detection, which was previously considered a difficult or expensive task, can be performed efficiently. For this Special Issue, we invite innovative research that uses deep learning techniques to accurately monitor various changes in land use and land cover using optical and SAR imagery.
Prof. Dr. Hyung-Sup Jung
Dr. Jin-Woo Kim
Prof. Dr. Zhong Lu
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
- remote sensing
- change detection
- earth surface changes
- geohazards
- time series analysis
- deep learning
- optical/infrared imagery
- SAR/InSAR imagery
- land use/land cover
