IEEE Geoscience and Remote Sensing Magazine

Aims & Scope

The IEEE Geoscience and Remote Sensing Magazine informs readers of activities in the IEEE GRS Society, its technical committees and chapters.

GRSM also informs and educates readers via technical papers, provides information on international remote sensing activities and new satellite missions, publishes contributions on education activities, industrial and university profiles, conference news, book reviews, and a calendar of important events.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	16.4
2024	16.20

SJR (SCImago Journal Rank)

Year	Value
2024	3.662

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	68

Journal Rank

Year	Value
2024	500

Journal Citation Indicator

Year	Value
2024	2376

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Earth and Planetary Sciences, Engineering and Physics and Astronomy, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

  Citation: 2567

  Authors: Xiao Xiang, Devis, Lichao, Gui-Song, Liangpei, Feng, Friedrich

• Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

  Citation: 1834

  Authors: Liangpei, Lefei, Bo

• Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

  Citation: 730

  Authors: Pedram, Naoto, Jun, Wenzhi, Sicong, Javier, Behnood, Antonio

• Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

  Citation: 588

  Authors: Naoto, Claas, Jocelyn

• Advanced Spectral Classifiers for Hyperspectral Images: A review

  Citation: 574

  Authors: Pedram, Javier, Yushi, Jun, Antonio J

• Deep Learning for Classification of Hyperspectral Data: A Comparative Review

  Citation: 549

  Authors: Nicolas, Bertrand, Sebastien

• Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

  Citation: 477

  Authors: Behnood, Danfeng, Renlong, Pedram, Xudong, Jocelyn, Jon Atli

• Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

  Citation: 475

  Authors: Pedram, Richard, Peter M., Jon Atli, Behnood, Naoto, Qunming, Bernhard, Lorenzo, Francesca, Mingmin, Katharina

• Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

  Citation: 457

  Authors: Lefei, Liangpei

• Hyperspectral Band Selection: A Review

  Citation: 398

  Authors: Weiwei, Qian

---