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Manuscript Auditing →01Impact factor
Impact factor of Frontiers in Remote Sensing (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Remote Sensing published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q2Remote Sensingrank 27 of 66 journals
- Q2Imaging Science & Photographic Technologyrank 18 of 38 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$3,077.
02Indexing
Indexing of Frontiers in Remote Sensing
- eISSN
- 2673-6187
- Publisher
- Frontiers Media SA
- Country
- Switzerland
- Language
- English
- Scopus source type
- Journal
- Web of Science categories
- Remote Sensing, Imaging Science & Photographic Technology
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Frontiers in Remote Sensing publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Frontiers in Remote Sensing
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- SMDe: enhancing hyperspectral image denoising through a spatial-spectral modulated network20260 citations
- From detection to complexity: AI boulder mapping enables structural analysis of Baltic Sea reefs20260 citations
- Advanced geospatial data analytics for environmental sustainability: current practices and future prospects20260 citations
- Efficient remote sensing image super-resolution with residual-enhanced wavelet and key-value adaptation20260 citations
- ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification20250 citations
- Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations20250 citations
- Dimension reduction and entropy-based hyperspectral image visualization using hue, saturation, and brightness20250 citations
- Application of high-precision terrestrial light detection and ranging to determine the dislocation geomorphology of Yumen Fault, China20250 citations
- A privacy-preserving, on-board satellite image classification technique incorporating homomorphic encryption and transfer learning20250 citations
- Automated depth correction of bathymetric LiDAR point clouds using PointCNN semantic segmentation20250 citations
- AI-powered estimation of tree covered area and number of trees over the Mediterranean island of Cyprus20250 citations
- Acoustic backscatter processing in GLOBE: an open-source software for echo sounder data analysis20250 citations
- Efficient vision transformers with edge enhancement for robust small target detection in drone-based remote sensing20250 citations
- Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery20250 citations
- Coffee extraction from remote sensing imagery based on multiple features: a case study of Pu'er City, China20250 citations
- Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth20250 citations
- … equivalent and spatial statistics from Calibrated Enhanced-Resolution Brightness Temperatures (CETB) using interpretable machine learning and SHAP analysis20250 citations
- Deep-learning-based detection of underwater fluids in multiple multibeam echosounder data20250 citations
- GLN-LRF: Global learning network based on large receptive fields for hyperspectral image classification20250 citations
- Remote sensing analysis for documenting human rights violations in zones of armed conflict: a systematic review of empirical research20250 citations
- Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China20250 citations
- Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON20250 citations
- How commercial SmallSats are revolutionizing the remote detection and mapping of snow algae20250 citations
- Assessment of OLCI absorption coefficients for non-water components across all optical water classes20250 citations
- Advancing river flow monitoring with small uncrewed aircraft and simulation-driven development20250 citations
- A deep-learning framework to detect green tide from MODIS images20250 citations
- State of the art in remote sensing monitoring of carbon dynamics in African tropical forests20250 citations
- Multifrequency seafloor acoustic backscatter as a tool for improved biological and geological assessments–updating knowledge, prospects, and challenges20250 citations
- Estimating wave height based on feature fusion of ship motion response and X-band radar images20250 citations
- Feasibility of PlanetScope SuperDove constellation for water quality monitoring of inland and coastal waters20250 citations
- Landcover-specific calibration of the optical trapezoid model (OPTRAM) for soil moisture monitoring in the Central Valley, California20250 citations
- Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: A case study using NASA's SnowEx 2017 data20250 citations
- Synergizing BRDF correction and deep learning for enhanced crop classification in GF-1 WFV imagery20250 citations
- Multiscale topology of the spectroscopic mixing space: crystalline substrates20250 citations
- Instrumental temperature-dependence of backscatter measurements by a multibeam echosounder: findings and implications20250 citations
- AU-super: superpixel scale optimization and training data augmentation strategy for hyperspectral image classification20250 citations
- Detection and pre-localization of coastal wetlands in Brittany, France using topographical indices from altimetric and remote sensing data20250 citations
- A comparative study on quantitative precipitation estimation based on GPM satellite and X-band phased-array weather radar20250 citations
- RCTNet: Residual conv-attention transformer network for corn hyperspectral image classification20250 citations
- Artificial intelligence for groundwater recharge prediction in an arid region: application of tabular deep learning models in the Feija Basin, Morocco20250 citations
- HPLNet: a hierarchical perception lightweight network for road extraction20250 citations
- Spatiotemporal variability of chlorophyll-a concentration in the South Brazil Bight using 25 years of multi-sensor orbital data (1998–2022)20250 citations
- Enhancing vegetation monitoring: a proposal for a Sentinel-2 based vegetation health index20250 citations
- Climatology and variability of smoke aerosols from MAIAC EPIC observations over North America (2016–2024)20250 citations
- The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models20250 citations
- Achieving SDG 6: Remote Sensing Applications in Sustainable Water Management20250 citations
- The single beacon: progresses in understanding Earth as an exoplanet using DSCOVR/EPIC observations20250 citations
- Scenario-based modeling of land-use and land-cover changes to promote sustainability in biosphere reserves: a case study from North Vidzeme, Latvia20250 citations
- Mapping and quantifying deforestation in the Zambezi ecoregion of Central-Southern Africa: extent and spatial structure20250 citations
- 3D reconstruction and morphological characteristic study of Abdullahpuram palace building in Vellore-Bangalore NH using terrestrial LiDAR data20250 citations
- Automatic detection of unidentified fish sounds: a comparison of traditional machine learning with deep learning20240 citations
- Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis20240 citations
- Canopy height mapping in French Guiana using multi-source satellite data and environmental information in a U-Net architecture20240 citations
- Permanent pastures identification in Portugal using remote sensing and multi-level machine learning20240 citations
- Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced Arctic spring sea ice surface classification20240 citations
- HYPSTAR: a hyperspectral pointable system for terrestrial and aquatic radiometry20240 citations
- Complete characterization of ocean color radiometers20240 citations
- Sea surface barometry with an O2 differential absorption radar: retrieval algorithm development and simulation20240 citations
- Feasibility of satellite vicarious calibration using HYPERNETS surface reflectances from Gobabeb and Princess Elisabeth Antarctica sites20240 citations
- The Australian fish chorus catalogue (2005–2023)20240 citations
- DISCO-2–an ambitious earth observing student CubeSat for arctic climate research20240 citations
- Recent advances and challenges in monitoring and modeling of disturbances in tropical moist forests20240 citations
- Evaluation of the Planet constellation's daily coverage for estimating the number of vessels at Daikoku Pier automobile terminals, Port of Yokohama, Japan20240 citations
- Assessment of advanced neural networks for the dual estimation of water quality indicators and their uncertainties20240 citations
- Comparative study of machine learning methods for mapping forest fire areas using Sentinel-1B and 2A imagery20240 citations
- Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings20240 citations
- A new framework for improving semantic segmentation in aerial imagery20240 citations
- Unsupervised clustering reveals acoustic diversity and niche differentiation in pulsed calls from a coral reef ecosystem20240 citations
- First results of the surface water ocean topography (SWOT) observations to rivers elevation profiles in the Cuvette Centrale of the Congo Basin20240 citations
- An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems20240 citations
- Machine learning algorithms improve MODIS GPP estimates in United States croplands20230 citations
- Multi-temporal high-resolution marsh vegetation mapping using unoccupied aircraft system remote sensing and machine learning20230 citations
- Evaluating the effective resolution of enhanced resolution SMAP brightness temperature image products20230 citations
- Exploiting hyperspectral and multispectral images in the detection of tree species: A review20230 citations
- Machine learning-enabled real-time detection of cloud and aerosol layers using airborne lidar20230 citations
- Bathymetric data integration approach to study bedforms in the estuary of the Saint‐Lawrence River20230 citations
- Can black coral forests be detected using multibeam echosounder “multi-detect” data?20230 citations
- Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape20230 citations
- An integrated deep learning and object-based image analysis approach for mapping debris-covered glaciers20230 citations
- Research on water extraction from high resolution remote sensing images based on deep learning20230 citations
- UAS remote sensing applications to abrupt cold region hazards20230 citations
- Comparisons of multi resolution based ai training data and algorithms using remote sensing focus on landcover20220 citations
- Deep convolutional neural networks for weeds and crops discrimination from UAS imagery20220 citations
- Monitoring the impact of rapid urbanization on land surface temperature and assessment of surface urban heat island using landsat in megacity (Lahore) of Pakistan20220 citations
- A time series of snow density and snow water equivalent observations derived from the integration of GPR and UAV SfM observations20220 citations
- Joint characterization of spatiotemporal data manifolds20220 citations
- A global analysis of the spatial and temporal variability of usable Landsat observations at the pixel scale20220 citations
- Drone surveying of volumetric ice growth in a steep river20210 citations
- Spatiotemporal characterization of VIIRS night light20210 citations
05Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Remote Sensing
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06Similar journals
Journals similar to Frontiers in Remote Sensing
Journals that publish the closest work to the papers above, from the indexing lists:
- Remote SensingSCIEScopusJCR 202412 similar papers
- National Academy Science LettersScopus2 similar papers
- Journal of Combinatorial Mathematics and Combinatorial ComputingScopus4 similar papers
- PLoS ONESCIEScopusJCR 202434 similar papers
- Frontiers in Plant ScienceSCIEScopusJCR 202420 similar papers
- Journal of Theoretical and Applied Information TechnologyScopus9 similar papers
07Journal Finder
Find the right journal for your paper
Is Frontiers in Remote Sensing right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
08Questions
Frequently asked questions
What is the impact factor of Frontiers in Remote Sensing?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Remote Sensing is 3.89: papers it published in the two previous years were cited 3.89 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Frontiers in Remote Sensing?
The h-index of Frontiers in Remote Sensing is 36 (OpenAlex, October 2026): 36 of its papers have each been cited at least 36 times. Its i10-index is 164.
What is the APC of Frontiers in Remote Sensing?
OpenAlex lists an article processing charge (APC) of about US$3,077 for Frontiers in Remote Sensing, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Remote Sensing a Q2 journal?
By 2-year citedness, Frontiers in Remote Sensing ranks 27 of 66 journals in Remote Sensing, which places it in Q2 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Remote Sensing indexed in Scopus?
Yes. Frontiers in Remote Sensing appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Remote Sensing an SCIE journal?
Frontiers in Remote Sensing is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Remote Sensing in Journal Citation Reports (JCR)?
Yes. Frontiers in Remote Sensing is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Frontiers in Remote Sensing publish?
The papers published in Frontiers in Remote Sensing that we track most often mention learning, data, remote, image, sensing, machine. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Remote Sensing does ScholarsColab track?
We track 89 papers published in Frontiers in Remote Sensing between 2021 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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