Remote Sensing of Environment Submission Process

In our pre-submission review work with Remote Sensing of Environment packages, we treat the submission process as a connected environmental remote-sensing object: title, abstract, first map or figure, sensor description, validation design, uncertainty analysis, data statement, code or product availability, supplementary files, cover letter, and suggested-reviewer logic. A paper can be technically excellent and still be process-weak if those pieces make the editor infer the environmental contribution.

The most common RSE process failure is a method looking for an environmental home. The abstract leads with classification accuracy, retrieval performance, fusion architecture, foundation-model workflow, or downscaling improvement. The environmental question appears later, usually in the discussion. That creates a workflow problem because the editor has to decide whether the manuscript belongs at RSE, IEEE TGRS, ISPRS Journal, Remote Sensing, IEEE JSTARS, or a domain journal before deciding whether to invite reviewers.

Validation has to be visible in the first record, not only buried in Methods. RSE can handle sophisticated modeling, but the process slows when the validation design is hard to audit. The editor should quickly see reference data, field observations, independent products, holdout logic, uncertainty treatment, spatial and temporal scope, and the limits of transfer. If the first review PDF makes those hard to find, reviewer recruitment starts from a weaker place.

The data and software package is part of triage. Elsevier's guide asks authors to think about research data, data statements, software references, supplementary material, and related data or methods. For RSE, those are not clerical fields. They show whether the environmental claim can be inspected by readers who may want to reuse a product, validate a workflow, or compare a retrieval against their own site.

The cover letter and generated PDF need to tell the same story. We often see a cover letter that says "environmental significance" while the generated review PDF foregrounds a model architecture or local case. In the process, that mismatch matters. The handling editor is not only reading quality; they are deciding the reviewer pool. A coherent package names the environmental variable, sensor or product, validation evidence, uncertainty, and RSE-specific reason in the same order across the abstract, first figure, cover letter, and data statement.

Process calibration: the ScienceDirect journal page currently reports 2 days from submission to first decision as a journal insight. Treat that as evidence of a fast editorial-screen path, not as a guarantee that a peer-reviewed manuscript will receive reports in two days. For planning, first decision timing can range from 2 to 21 days for a clear editor-screen outcome, while complex peer-review paths can run 6 to 20 weeks or longer. Edge cases include immediate administrative return, fast scope rejection, and delayed reviewer recruitment when the paper needs both remote-sensing methods and environmental-domain expertise.

The process starts before the portal. Have these pieces ready:

• manuscript file within the 15,000-word Research Article or 20,000-word Review limit, including references and figure captions
• title page and corresponding-author contact details
• cover letter explaining the validated environmental remote-sensing contribution
• highlights and graphical abstract if required or used in the current Elsevier workflow
• figures, tables, captions, map panels, and supplementary files that survive PDF conversion
• declaration of competing interests and funding information
• generative-AI use declaration where relevant
• data availability statement and links to datasets, code, or products where possible
• permissions for third-party images, maps, products, or copyrighted material
• suggested reviewers who can evaluate both the remote-sensing method and environmental inference
• transfer fallback map across IEEE TGRS, ISPRS Journal, Remote Sensing, IEEE JSTARS, Science of Remote Sensing, and domain environmental journals

The generated review PDF matters. Before final submission, inspect whether the map panels, validation tables, uncertainty figures, and supplementary references appear in the order the editor needs. A technically valid upload can still be a poor process package if the environmental result is invisible until page ten.

Elsevier's submission checklist is simple on paper, but RSE manuscripts have several places to break the process.

Typical early checks include:

• one corresponding author has full contact details
• all files, figure captions, tables, supplementary material, and videos are uploaded
• references cited in the text appear in the reference list and vice versa
• spelling and grammar checks have been carried out
• permissions are obtained for copyrighted material
• authors understand the OA APC obligation if they choose Gold Open Access after acceptance
• declarations, data statement, funding, competing interests, AI-use disclosure, and author information are complete
• the converted PDF is readable and includes the environmental figures, validation tables, and map disclaimers where relevant

For RSE, the process risk is not only missing a checkbox. It is uploading a complete record whose review PDF makes the editor work too hard to see the environmental question, remote-sensing method, validation evidence, and uncertainty logic.

The RSE first screen asks whether the manuscript deserves environmental remote-sensing reviewer time. The journal's official scope includes theory, science, applications, and technology that advance remote sensing across terrestrial, oceanic, and atmospheric domains. The process question is narrower: can the editor see the RSE-shaped contribution quickly?

The strongest packages make these signals agree:

This is why the process page exists separately from the fit guide. The fit guide helps decide whether to target RSE. The process page helps make the record behave like an RSE submission once that decision has been made.

RSE peer review is single-blind, also described as single-anonymized, unless the journal or publisher changes the workflow; reviewers usually know the authors, while authors do not know the reviewers. The useful preparation is not to guess identities. It is to make the method and environmental inference auditable to two audiences at once.

Reviewers often test:

• whether the remote-sensing method is actually central to the contribution
• whether the environmental question matters beyond one local case
• whether reference data, field observations, independent products, or benchmarks support the claim
• whether uncertainty is quantified at the same spatial and temporal scale as the conclusion
• whether the data, code, product, and supplementary material are sufficient for reuse or inspection
• whether the paper belongs at RSE rather than IEEE TGRS, ISPRS Journal, Remote Sensing, IEEE JSTARS, or a domain journal

If the paper survives the first screen, prepare a response map before reports arrive. Put each likely reviewer objection next to the manuscript location, figure, validation table, data source, and limitation language that answers it.

Elsevier's Article Transfer Service can recommend another Elsevier journal if the manuscript is more suitable elsewhere. Treat that as a process option, not a verdict that the work has no value.

For many borderline RSE papers, the cleaner route is not necessarily another Elsevier title. IEEE TGRS can fit a methods-forward remote-sensing paper, ISPRS Journal can fit photogrammetry and geospatial-methods work, Remote Sensing can fit broader applied or faster OA work, and domain journals can fit environmental conclusions where remote sensing is mainly the data source.

In Manusights pre-submission work on Remote Sensing of Environment packages, we see four process failures before the reviewer debate starts.

• Algorithm performance becomes the first impression: the upload package leads with model architecture or accuracy, while the environmental question appears after the editor has already formed the venue impression.
• Validation is present but not process-readable: field data, reference products, uncertainty, or holdout strategy exists somewhere, but the generated PDF makes the editor assemble the evidence manually.
• Data availability is weaker than the environmental claim: the abstract promises reusable mapping, monitoring, retrieval, or product generation, while the data/code statement leaves reuse vague.
• Reviewer routing is split across incompatible audiences: the manuscript looks like computer vision to one reviewer, environmental science to another, and remote-sensing methods to a third because the record never names the primary contribution.

The first figure is only a workflow diagram

For RSE, a methods workflow can be useful, but it should not be the only early display. The editor needs to see an environmental result, validation pattern, uncertainty map, or product-scale consequence. If the first figure only shows blocks and arrows, the process starts with a method rather than an environmental remote-sensing advance.

The validation table is disconnected from the claim

A strong RMSE, F1 score, IoU, R², or classification accuracy does not automatically support a global, regional, multi-season, or policy-relevant claim. The process package should connect the metric to reference data quality, spatial holdout, temporal coverage, sensor limits, atmospheric correction, and uncertainty.

The transfer route is not planned

Authors often wait for rejection before deciding whether the next home is IEEE TGRS, ISPRS Journal, Remote Sensing, Science of Remote Sensing, IEEE JSTARS, or a domain journal. That slows the next move. Build the transfer map before submission so a fast editor decision does not create a dead week.

Check whether your RSE process package is ready before Editorial Manager upload →

Check whether your RSE validation package supports the environmental claim →

Check whether your RSE cover letter and generated PDF tell the same story →

This guide tells you what the process tests before and after Elsevier upload. The review tells you whether your paper passes that process screen before the record becomes the editor's first impression. Manusights reviews are read by multiple expert reviewers, include a 60-day money-back guarantee, and we do not train models on submitted manuscripts.

Last verified July 2026 against the ScienceDirect Remote Sensing of Environment journal page, RSE guide for authors, Elsevier Editorial Manager support, Elsevier submission-status guidance, and the current Manusights RSE cluster. Publisher instructions, portal fields, insight timing, APC values, and transfer workflows can change, so use the official Elsevier pages for the live upload record.