Frontiers in Remote Sensing
Q1 Journal
Open Access
Journal
Country
Switzerland
Western Europe
Subject Area and Category
Biochemistry, Genetics and Molecular Biology
└
Biophysics
Q1
└
Earth and Planetary Sciences (miscellaneous)
Q1
└
Physics and Astronomy (miscellaneous)
Q1
Publisher
SJR 2025
1.192
Q1
SJR Score
H-Index
25
Citations / Doc (2yr)
3.18
Total Docs. (latest)
134
Total Citations (3yr)
1,215
Publication type
Journals
ISSN
26736187
Coverage
2020-2026
Journal Rank
#3,674
Subject Categories
Biophysics
Q1
Earth and Planetary Sciences (miscellaneous)
Q1
Physics and Astronomy (miscellaneous)
Q1
Subject Areas
Aims & Scope
Frontiers in Remote Sensing is a multidisciplinary journal that seeks to bridge pioneering theoretical exploration and practical applications in the realm of remote sensing, ranging from spaceborne to airborne and unoccupied aerial system (UASs) and vehicle (UAVs) observations.
The journal aims to cover a wide array of topics, including but not limited to:
• Fundamental theories of remote sensing
• Sensor technologies, including instrumentation, calibration, and validation
• Processing techniques for remote sensing data analysis, including model inversion, machine learning, data classification, data mining, and big data analytics
• Single and multi-sensor data integration and fusion
• Multi- and hyper-spectral data analysis
• Passive and active remote sensing applications
• Applications in environmental and ecological studies, as well as aimed at better understanding the various processes occurring in the different compartments of the biosphere - agriculture, forest management, urban planning, natural hazards, climate change, etc.
• Remote sensing for resource exploration
• Geospatial data science and spatial modelling
• Spaceborne remote sensing missions and services
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Web of Science
Detailed Metrics
| Total Docs. (latest) | 134 |
| Total Docs. (3 years) | 264 |
| Total Refs. | 7,801 |
| Total Citations (3 years) | 1,215 |
| Citable Docs. (3 years) | 256 |
| Citations / Doc. (2 years) | 3.18 |
| Ref. / Doc. | 58.22 |
| % Female | 30.8% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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