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.
Research Scientist, Neuroscience & Cell Biology
Author context
Works across neuroscience and cell biology, with direct expertise in preparing manuscripts for PNAS, Nature Neuroscience, Neuron, eLife, and Nature Communications.
Journal fit
See whether this paper looks realistic for Remote Sensing.
Run the Free Readiness Scan with Remote Sensing as your target journal and see whether this paper looks like a realistic submission.
Remote Sensing at a glance
Key metrics to place the journal before deciding whether it fits your manuscript and career goals.
What makes this journal worth targeting
- IF 4.1 puts Remote Sensing in a visible tier — citations from papers here carry real weight.
- Scope specificity matters more than impact factor for most manuscript decisions.
- Acceptance rate of ~~50-60% means fit determines most outcomes.
When to look elsewhere
- When your paper sits at the edge of the journal's stated scope — borderline fit rarely improves after submission.
- If timeline matters: Remote Sensing takes ~~60-90 days median. A faster-turnaround journal may suit a grant or job deadline better.
- If OA is required: gold OA costs ~$1,900-2,200. Check institutional agreements before submitting.
How to read Remote Sensing as a target
This page should help you decide whether Remote Sensing belongs on the shortlist, not just whether it sounds impressive.
Question | Quick read |
|---|---|
Best for | Remote Sensing published by MDPI is an open-access journal covering Earth observation, satellite imagery,. |
Editors prioritize | Remote sensing application addressing environmental monitoring or resource management challenge |
Think twice if | Algorithm development without environmental application context |
Typical article types | Research Article, Review |
Quick answer: Remote Sensing can be a good journal if the paper is methodologically solid, clearly positioned, and useful to a broad remote-sensing audience. It is not a prestige-maximizing choice for every paper, but it is a realistic and visible venue for many applied and methodological studies that are too narrow for the very top journals.
Remote Sensing: Pros and Cons
Pros | Cons |
|---|---|
Established MDPI journal with IF of approximately 4.2 and Q1/Q2 in Remote Sensing | Approximately 35-45% acceptance means moderate selectivity signal |
Broad scope covering all remote sensing science and technology | High publication volume means individual paper visibility is limited |
Open access ensures wide discoverability for applied remote sensing work | MDPI model raises perception concerns in some geoscience communities |
Good venue for solid applied and methodological remote sensing studies | Not a prestige-maximizing choice - top work may fit better in RSE or ISPRS |
How Remote Sensing Compares
Metric | Remote Sensing | Remote Sens. of Environment | ISPRS J. Photogrammetry | IEEE Trans. Geosci. Remote Sens. |
|---|---|---|---|---|
IF (2024) | ~4.2 | ~11.1 | ~10.6 | ~7.5 |
Acceptance | ~35-45% | ~15-20% | ~20% | ~25-30% |
APC | ~$2,700 (OA) | ~$3,600 (OA option) | ~$3,200 (OA option) | Varies |
Best for | Broad remote sensing (open access) | High-impact environmental remote sensing | Photogrammetry and spatial information | Geoscience and remote sensing engineering |
Yes, Remote Sensing can be a good journal for papers that are methodologically solid, within scope, and better served by a broad remote-sensing readership than by a narrower elite venue.
The useful answer is narrower:
Remote Sensing is a good journal when the manuscript becomes stronger when judged on validation, reproducibility, and transferability, not when it depends on a local case study or thin benchmarking.
That is the real author decision.
What "good journal" should mean here
For Remote Sensing, "good journal" should not mean:
- high enough metric so the venue is automatically fine
- broad scope means any remote-sensing-adjacent paper belongs
- fast review makes it the best home by default
It should mean:
- good for remote-sensing papers with real application grounding or a credible sensor or method contribution
- good for work that becomes stronger when judged on reproducibility and validation
- good for papers that gain value from a broad geospatial audience instead of a narrower elite venue
That is the real job of this page. Not whether the journal is legitimate, but whether Remote Sensing is the right tradeoff for this manuscript.
Best fit
Remote Sensing is often strongest for:
- remote-sensing papers with clear application grounding or real sensor contribution
- methods papers that are reproducible and validated on real data
- application papers that show transferability beyond one tiny case study
- work that sits between method and application and benefits from a broad geospatial readership
Weak fit
Remote Sensing is a weak target when:
- the paper is an abstract algorithm with no believable remote-sensing use case
- the manuscript is a one-off local application with weak comparison to prior work
- the work is more computer vision than remote sensing in its actual contribution
- the paper depends on thin validation or black-box modeling
- the value is tied almost entirely to one geographic deployment
That is why the verdict page has to make real no-calls. Otherwise it collapses into generic reputation language.
What authors are really buying
When authors choose Remote Sensing, they are usually buying some combination of:
- broad geospatial and earth-observation readership
- a venue that can handle both methods and applications
- relatively fast publication
- a journal where reproducibility and validation matter more than pure prestige theater
That is more useful than saying the journal is simply visible. It explains the actual tradeoff.
Fast verdict table
If your paper looks like this | Remote Sensing verdict |
|---|---|
Reproducible method or application paper with strong real-data validation | Good target |
Sensor or workflow paper with transferable value beyond one site | Good target |
Local case study with weak general lesson | Weak target |
Black-box model paper with thin benchmarking | Weak target |
Field-defining geospatial paper better suited to a more selective venue | Probably choose another journal |
Journal fit
See whether this paper looks realistic for Remote Sensing.
Run the scan with Remote Sensing as the target. Get a manuscript-specific fit signal before you commit.
Why authors choose this journal
Authors usually choose Remote Sensing for a few practical reasons:
- broad topical coverage
- a real audience of remote-sensing practitioners and method users
- a venue that can fit applied, environmental, and methodological work without forcing it into a narrower specialty box
That makes it attractive when a paper is technically sound and broadly useful, but not necessarily trying to compete for the highest-status journal in the field.
What Remote Sensing actually publishes
Remote Sensing publishes work across earth observation, geospatial analysis, image processing, sensor applications, environmental monitoring, land-use analysis, agriculture, water systems, and related computational methods tied to remote sensing data.
Editors want papers that do at least one of these well:
- introduce a method with clear performance or practical value
- use remote sensing data to answer a meaningful environmental or geospatial question
- connect sensing, analysis, and interpretation in a way that readers can reuse
- present a dataset, workflow, or validation result with broad methodological relevance
The journal is broad, which is useful, but also means your paper has to explain its contribution clearly. Broad scope does not mean editors ignore fit.
When another journal is better
Another venue is often smarter when:
- the manuscript is mostly a routine application of an established workflow
- the novelty is weak and the validation is thin
- the work belongs more naturally in a narrower environmental or computer-vision venue
- the paper depends on local relevance alone
- a more selective remote-sensing journal is the honest home for a stronger, field-defining paper
A broad venue still needs a broad reason to care.
Practical decision test
One useful test is to ask whether the paper would still feel valuable if the geographic setting changed. If the answer is yes because the validation strategy, sensing workflow, or interpretation would travel well, the journal is usually a better fit. If the answer is no because the value is tied almost entirely to one local deployment, the paper often needs either a stronger general lesson or a different journal.
One last fit filter
The final decision should come down to whether Remote Sensing makes the manuscript clearer, not merely bigger. If the abstract, first figure, and opening discussion already sound like they belong in Remote Sensing, the journal is probably earning its place on the shortlist. If the fit only works after a long explanation about why editors should stretch, reinterpret, or forgive what is missing, the submission is still fighting the venue.
If the fallback that sounds most natural is a narrower or more obviously aligned venue, that is usually an honest signal about where the manuscript really belongs right now. The best first submission is usually the journal where the claim, audience, and evidence package line up without special pleading. That is what turns a prestige target into a credible target.
Bottom line
Remote Sensing is a good journal for many credible applied and methodological remote-sensing papers, especially when the work is broad enough to matter beyond a single local demonstration. It is not the best target when the manuscript is routine, under-validated, or only loosely tied to the remote-sensing field itself.
If your paper is reusable, well-validated, and clearly part of the remote-sensing conversation, the journal is a reasonable and often effective target.
The practical test is simple: if readers outside the exact project setting can reuse the workflow, benchmark, or interpretive lesson, the journal is much more likely to be a sensible target. If not, a narrower venue is often the stronger choice.
Where to go next
- Start with the Remote Sensing journal page if you want the surrounding journal context in one place.
- If you want a broader fit decision before submission, use How to Choose the Right Journal for Your Paper.
- If your main concern is early editorial risk in general, read Desk Rejection: What It Means, Why It Happens, and What to Do Next.
- Remote Sensing instructions for authors: https://www.mdpi.com/journal/remotesensing/instructions
- Clarivate Journal Citation Reports (released June 2025).
Not sure if your paper fits? A Remote Sensing scope and readiness check can help you check journal fit and readiness before submitting.
Frequently asked questions
Yes. Remote Sensing is a well-established MDPI open-access journal with a 2024 impact factor of approximately 4.2 and Q1/Q2 ranking in Remote Sensing and Geosciences. It publishes research on all aspects of remote sensing science and technology.
Remote Sensing has an acceptance rate of approximately 35-45%. As a large-volume MDPI journal, it publishes broadly but maintains peer review standards for scientific rigor and remote sensing relevance.
Yes. Remote Sensing uses single-blind peer review managed by MDPI's editorial office and academic editors. Papers are evaluated by expert reviewers for scientific quality and remote sensing significance.
Remote Sensing has a 2024 JCR impact factor of approximately 4.2. It is ranked Q1/Q2 in Remote Sensing and is one of the larger open-access journals in the geosciences.
Sources
- Remote Sensing journal homepage: https://www.mdpi.com/journal/remotesensing
Final step
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Run the Free Readiness Scan with Remote Sensing as your target journal and get a manuscript-specific fit signal before you commit.
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Where to go next
Start here
Same journal, next question
- IEEE Transactions on Geoscience and Remote Sensing Submission Guide
- How to Avoid Desk Rejection at Remote Sensing in 2026
- Remote Sensing Review Time: What Authors Can Actually Expect
- Remote Sensing Acceptance Rate: What Authors Can Use
- Remote Sensing Impact Factor 2026: 4.1, Q1, Rank 47/258
- Is Your Paper Ready for Remote Sensing (MDPI)? An Honest Pre-Submission Checklist
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