Journal Report

IEEE Geoscience and Remote Sensing Magazine

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Journal Information
Journal Title
IEEE Geoscience and Remote Sensing Magazine
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISSN
2473-2397
E-ISSN
2168-6831
Database
SCOPUS
Domain
Health Sciences, Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓
2023 ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓ ✓
2018 ✓
A journal may have more than one classification in the same year. All recorded classifications are displayed.
Recent Articles
IEEE Foundation
2026-10 Vol. 14 Issue 5 Pages 595-595
Uncrewed Aerial Vehicle-Based Ground-Penetrating Radar for 3D Subsurface Imaging: Electromagnetic modeling, tomographic processing, and open challenges
Ilaria Catapano, Giuseppe Esposito, Gianluca Gennarelli et al.
2026-10 Vol. 14 Issue 5 Pages 492-515
Atmospheric Methane Monitoring Using Satellites: Bibliometric and visual analytics
Botao He, Yong Xue, Wenhao Liu et al.
2026-10 Vol. 14 Issue 5 Pages 540-561
Evaluating Machine Learning Emulators for Atmospheric Radiative Transfer: The Atmospheric Machine Learning Emulation Challenge
Jorge Vicent Servera, Jasdeep Singh, Axel Rochel et al.
2026-10 Vol. 14 Issue 5 Pages 382-395
Remote Sensing for Understanding the Vertical Dimension of Urban Landscapes: A review on data, products, methods, and prospects
Haiming Qin, Weiqi Zhou, Zhe Zhu et al.
2026-10 Vol. 14 Issue 5 Pages 200-231
Transparentize A Shallow Cryosphere: High-Resolution Subsurface Imaging Using UAV-Borne Ground-Penetrating Radar: A review and prospective
Wenhao Luo, Tong Hao, Qian Ma et al.
2026-10 Vol. 14 Issue 5 Pages 457-491
A Survey of Intelligent Change Detection Techniques for Hyperspectral Images Under Varying Supervision: Reliable reference points for method evaluation
Tianyuan Zhou, Fulin Luo, Meiqi Hu et al.
2026-10 Vol. 14 Issue 5 Pages 25-56
Lithosphere–Atmosphere–Ionosphere Coupling: Opportunities and challenges from phenomenon observation to physical prediction
Wang Li, Fangsong Yang, Li Li et al.
2026-10 Vol. 14 Issue 5 Pages 160-199
Erratum to Machine Learning Methods for Earth Observation and Remote Sensing Using Spaceborne GNSS Reflectometry: Current Status, Challenges, and Future Prospects
Jinwei Bu
2026-10 Vol. 14 Issue 5 Pages 596-596
Front Cover
2026-10 Vol. 14 Issue 5 Pages C1-C1
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Printed: October 30, 2026 15:03