Is Remote Sensing a Good Journal? Reputation, Fit and Who Should Submit
A practical verdict on whether Remote Sensing is the right journal for your paper, who should submit, and when another venue makes more sense.
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.
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 |
Is Remote Sensing a good journal? It can be, if your 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.
The real question is not whether the journal is legitimate. It is whether your paper benefits from a broad, fast-moving remote-sensing venue with a large volume of submissions and a wide scope.
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.
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 makes the journal a strong fit
1. Broad scope can be a strength
If your paper connects sensing methods to a real geospatial or environmental question, the journal can be a good home because the readership is broad enough to appreciate both the method and the use case.
2. Practical utility matters
Remote Sensing often works well for papers that are not only novel, but usable. If the workflow, validation strategy, or application is easy for others to learn from, the paper fits the journal better.
3. It can be the right venue for solid applied work
Some remote-sensing papers are too applied or too mixed in focus for narrower theory-heavy journals. Remote Sensing is often a better fit when the paper's value lies in a credible applied contribution with clear methodological substance.
That can be especially useful for papers that sit between application and method. A manuscript might not be radical enough for the most selective remote-sensing journals, but still be strong, reusable, and valuable to a large working audience. That is often the zone where Remote Sensing makes practical sense.
Where the fit goes wrong
Remote Sensing is a weaker target when the manuscript is:
- mostly a routine application of an established workflow
- thin on validation
- too narrow geographically without broader methodological meaning
- more computer-vision than remote sensing in its actual contribution
- unable to explain why the work matters outside the local case study
This is where many authors misjudge the journal. A broad venue still needs a broad reason to care.
That mismatch shows up most often in manuscripts that are technically competent but too operational. A paper can be useful to one project team and still not feel broad enough for the journal unless the validation, transferability, or methodological lesson is made much clearer.
A quick fit table
Question | Better sign | Worse sign |
|---|---|---|
Is the contribution reusable? | Others can apply the method or lesson | The value ends with one case study |
Is the validation strong? | Clear baselines, error analysis, and comparisons | Claims rest on shallow benchmarking |
Does the paper belong in remote sensing? | Sensing and interpretation are central | Remote sensing is mostly just the data source |
Is the relevance broad enough? | Readers beyond one site or region can learn from it | The paper stays too local to matter broadly |
Submit if
- the manuscript has strong validation and fair benchmarks
- the contribution is useful beyond one local application
- remote sensing is central to the science, not just the data source
- the paper is solid, practical, and broadly legible
Think twice if
- the paper is mostly a standard workflow on a new case study
- the novelty is weak and the validation is thin
- the work belongs more naturally in a narrower environmental or computer-vision venue
- the manuscript depends on local relevance alone
Who should submit
Remote Sensing is usually a good option for:
- authors with a strong applied remote-sensing study that still has methodological weight
- teams whose paper connects sensing, analysis, and interpretation clearly
- papers that are broad enough to help a large remote-sensing readership, even if they are not aimed at the most selective journals in the field
This is especially true when the paper is useful, transferable, and clearly validated.
Who should avoid it
Authors should think twice when:
- the manuscript is mostly a local case study with weak transferability
- the real contribution belongs more to environmental monitoring than remote sensing itself
- the paper is mainly a routine model application with little methodological gain
- the validation package would not satisfy skeptical reviewers quickly
In those situations, the journal often feels broader than the paper actually is.
A 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.
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
Jump to key sections
Sources
- Remote Sensing journal homepage: https://www.mdpi.com/journal/remotesensing
Final step
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