Journal Guide
Publishing in Remote Sensing: Fit, Timeline & Submission Guide
Earth observation for environmental monitoring, mapping, and change detection
Should you submit here?
Submit if present application with clear utility. Be careful if remote Sensing expects environmental or resource management relevance.
4.1
Impact Factor (2024)
~50-60%
Acceptance Rate
~60-90 days median
Time to First Decision
Submission guide
Remote Sensing Submission Guide
A package-readiness guide to Remote Sensing covering validation strength, reproducibility, and what must be stable before submission.
Journal assessment
Is Remote Sensing a Good Journal? JIF, Scope & Fit Guide
A fit-first Remote Sensing verdict on what paper types belong here, what weak-fit submissions get wrong, and when another venue is smarter.
Desk rejection
How to Avoid Desk Rejection at Remote Sensing in 2026
How to avoid desk rejection at Remote Sensing: environmental context, real validation, and methods that transfer beyond one site.
What Remote Sens. Publishes
Remote Sensing published by MDPI is an open-access journal covering Earth observation, satellite imagery, and geospatial analysis. With JIF 4.1 and broad Q1-Q2 coverage, RS emphasizes research applying remote sensing to environmental monitoring, land cover mapping, and change detection. The journal publishes research on satellite data analysis, sensor technology, and geospatial applications. Critically: RS values applications with clear environmental or resource management relevance. Pure algorithm development without environmental context is less competitive. The journal seeks papers showing how remote sensing enables environmental understanding or management.
- Land cover and land use mapping: classification, monitoring, urban expansion
- Vegetation monitoring: biomass estimation, crop health, forest change detection
- Water resources: water body mapping, drought monitoring, flood detection
- Disaster monitoring: earthquake damage, flood extent, wildfire spread
- Climate change: glacier monitoring, sea ice extent, surface temperature
- Agricultural applications: crop classification, yield estimation, soil mapping
- Coastal and marine: coral bleaching, sea level change, ocean temperature
- Urban analysis: urban growth, impervious surface, heat island effects
Editor Insight
“Remote Sensing publishes Earth observation applications. We seek validated methods demonstrating environmental monitoring utility and operational feasibility.”
What Remote Sens. Editors Look For
Remote sensing application addressing environmental monitoring or resource management challenge
Present application with clear utility. Improved land cover accuracy? Earlier drought detection? Better crop yield prediction? Show practical benefit with quantified improvements.
Rigorous validation with ground truth data and independent datasets
Validate remote sensing results against in-situ measurements or field observations. Test on independent data. Proper validation proving practical applicability essential.
Algorithm or methodology with clear improvement over existing approaches
Show your classification, detection, or analysis method outperforms existing approaches. What advantages drive adoption? Quantitative comparison with state-of-the-art essential.
Practical implementation feasibility with real satellite or drone data
Use actual remote sensing data (Sentinel, Landsat, high-resolution imagery). Show workflow is operationalizable. Real data validation proves practical utility.
Scalability and transferability to other regions or timeframes
Show method works across different areas or over time. Generalizability important for operational application. Single-site studies less competitive.
Why Papers Get Rejected
These patterns appear repeatedly in manuscripts that don't make it past Remote Sens.'s editorial review:
Algorithm development without environmental application context
Remote Sensing expects environmental or resource management relevance. Developing algorithm without showing real environmental benefit is insufficient.
Validation with synthetic data or simulation without ground truth
Real in-situ validation against field measurements essential. Synthetic validation alone doesn't prove operational utility.
No comparison with existing remote sensing methods
Show your approach outperforms established methods. Quantitative accuracy comparison necessary.
Applicability limited to single study site without demonstrating transferability
Methods must generalize to other locations or time periods. Site-specific development has limited operational value.
Ignoring practical data availability and processing requirements
Operationalizable methods must use available satellite data and run on practical computing resources. Requiring rare imagery or supercomputing limits adoption.
Does your manuscript avoid these patterns?
The Free Readiness Scan reads your full manuscript against Remote Sens.'s criteria and flags the specific issues most likely to cause rejection.
Insider Tips from Remote Sens. Authors
Climate change monitoring and extreme weather detection highly valued
Applications addressing climate impacts (glacial melt, sea ice loss, drought) have high relevance.
Tropical deforestation and forest monitoring competitive
Remote sensing monitoring forest cover in tropical regions aligns with conservation priorities.
Machine learning and deep learning for image analysis trending
Neural networks for satellite image classification increasingly valued in remote sensing papers.
High-resolution and multispectral analysis gaining importance
High-resolution (sub-meter) imagery and multispectral analysis enabling detailed mapping increasingly prominent.
UAV and drone-based Earth observation emerging field
Unmanned aerial systems for localized monitoring increasingly competitive.
The Remote Sens. Submission Process
Manuscript preparation
Prep5,000-8,000 words with 5-7 figures. Include remote sensing approach and data description, algorithm or methodology, validation with ground truth, accuracy assessment, comparison with existing methods, application demonstration.
Submission via MDPI system
Day 0Submit at https://www.mdpi.com/journal/remotesensing/. Required: manuscript emphasizing application and validation, figures showing remote sensing data and results, cover letter highlighting novelty and utility.
Editorial assessment
1-2 weeksEditor assesses novelty and environmental relevance. Papers lacking application context or weak validation face lower priority. Moderate desk rejection ~15-25%.
Peer review
60-90 days2-3 remote sensing experts assess methodology rigor, validation quality, comparison with state-of-the-art, and environmental significance. First decision 60-90 days.
Revision and publication
Revision: 2-4 weeksRevisions often request additional validation or comparison data. Publication 1-3 weeks after acceptance (fast MDPI OA).
Remote Sens. by the Numbers
| 2024 Impact Factor | 5.0 |
| 5-Year Impact Factor | 5.3 |
| Acceptance rate | ~50-60% |
| Desk rejection rate | ~15-25% |
| Median first decision | ~75 days |
| Open access APC | ~$1,900-2,200 |
| Publisher | MDPI |
| Founded | 2009 |
Before you submit
Remote Sens. accepts a small fraction of submissions. Make your attempt count.
Start with the Free Readiness Scan. Unlock the Full AI Diagnostic for $29. If you need deeper scientific feedback, choose Expert Review. The full report is calibrated to Remote Sens..
Article Types
Research Article
5,000-8,000 wordsRemote sensing application with validation
Review
7,000-12,000 wordsRemote sensing topic review
Landmark Remote Sens. Papers
Papers that defined fields and changed science:
- Land cover classification and mapping (various) - satellite imagery analysis
- Glacier and ice sheet monitoring (various) - climate change signals
- Deforestation detection (2000s+) - tropical forest monitoring
- Flood and disaster mapping (various) - rapid damage assessment
Preparing a Remote Sens. Submission?
Get pre-submission feedback from reviewers who've published in Remote Sens. and know exactly what editors look for.
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Primary Fields
Latest Journal-Specific Guides
- Submission guideRemote Sensing Submission GuideA package-readiness guide to Remote Sensing covering validation strength, reproducibility, and what must be stable before submission.
- Journal assessmentIs Remote Sensing a Good Journal? JIF, Scope & Fit GuideA fit-first Remote Sensing verdict on what paper types belong here, what weak-fit submissions get wrong, and when another venue is smarter.
- Desk rejectionHow to Avoid Desk Rejection at Remote Sensing in 2026How to avoid desk rejection at Remote Sensing: environmental context, real validation, and methods that transfer beyond one site.
- Review timelineRemote Sensing Review Time: What Authors Can Actually ExpectRemote Sensing moves faster than many remote-sensing and geoscience journals, but the timeline only helps when the manuscript has enough benchmarking and cross-case value to justify a broad journal.
More Guides for This Journal
- Acceptance rateRemote Sensing Acceptance Rate: What Authors Can UseRemote Sensing publishes ~6,000 articles per year with Q1 ranking in Earth Sciences. Here is what the acceptance rate data tells you.
- Impact factorRemote Sensing Impact Factor 2026: 4.1, Q1, Rank 47/258Remote Sensing impact factor is 4.1 with a 5-year JIF of 4.8. See the rank, trend, and what that number means before submission.
- Publishing costsRemote Sensing APC and Open Access: MDPI Pricing, Discounts, and How It Stacks UpRemote Sensing APC is CHF 2,700 in 2026. See the MDPI gold-OA fee, discounts, speed, and how it compares with stronger hybrid alternatives.
- Submission processRemote Sensing Submission Process: What Happens From Upload to First DecisionA workflow-focused Remote Sensing submission process guide covering what happens after upload, what triage is testing, and where papers lose time.
- Manuscript prepRemote Sensing Cover Letter: What Editors Actually Need to SeeRemote Sensing editors screen for geospatial relevance and section fit before anything else. A cover letter that names the section and states a clear remote-sensing result moves through triage fastest.
- Publishing guideIs Remote Sensing (MDPI) Predatory? A Practical VerdictRemote Sensing is not predatory. It has a 4.1 Impact Factor and Q1 rankings in geosciences - but MDPI's special issue model and review speed are the real concerns.
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Reference library
Compare Remote Sens. with the broader publishing context
This journal guide is the best starting point for Remote Sens.. The reference library covers the surrounding questions authors usually ask next: whether the package is ready, what drives desk rejection, how neighboring journals compare, and what the submission constraints look like across the field.
Checklist system / operational asset
Elite Submission Checklist
A flagship pre-submission checklist that turns journal-fit, desk-reject, and package-quality lessons into one operational final-pass audit.
Flagship report / decision support
Desk Rejection Report
A canonical desk-rejection report that organizes the most common editorial failure modes, what they look like, and how to prevent them.
Dataset / reference hub
Journal Intelligence Dataset
A canonical journal dataset that combines selectivity posture, review timing, submission requirements, and Manusights fit signals in one citeable reference asset.
Dataset / reference guide
Peer Review Timelines by Journal
Reference-grade journal timeline data that authors, labs, and writing centers can cite when discussing realistic review timing.
Need field-expert depth? See Expert Review Options