Peer Review History

Original SubmissionAugust 26, 2019
Decision Letter - Daniel Capella Zanotta, Editor

PONE-D-19-24001

A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model

PLOS ONE

Dear Dr Naderi,

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Academic Editor

PLOS ONE

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Additional Editor Comments (if provided):

Dear author, we are now sending you the results of the reviewing by one referee. The remaing ones never materialized, so we decided, since it pointed minor revision, to proceed with this only one.

Please, improve the theoretical framework of the process putting most of the things in an easier way. Please, add coments clarifying each of the mathematical steps allowing future readers to better undertanding your intentions. As suggested by the reviewer, try to put auxiliar figures and schemes like flowcharts.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

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Comments to the Author

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The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: Yes

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5. Review Comments to the Author

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Reviewer #1: The author's research is valuable and significant. In this paper, authors show a strong foundation in mathematics and physics, mathematical logic is rigorous. This research is innovative, however, the theoretical process would be easier to understand if more graphics were used.

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Reviewer #1: No

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Attachments
Attachment
Submitted filename: A theoretical framework for Landsat data modeling based on the matrix variate meanmixture of normal model Cai.pdf
Revision 1

We highly appreciate the reviewer for encouraging words and nice suggestions. The paper has been revised along the lines suggested.

Attachments
Attachment
Submitted filename: Response to Reviewers.pdf
Decision Letter - Daniel Capella Zanotta, Editor

A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model

PONE-D-19-24001R1

Dear Dr. Naderi,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

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With kind regards,

Daniel Capella Zanotta

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Dear Dr. Naderi,

Given the delay presented by the referee, I checked your corrections by myself and I have found your paper ready for publication.

Please, follow the instructions above.

Reviewers' comments:

Made directly by academic editor.

Formally Accepted
Acceptance Letter - Daniel Capella Zanotta, Editor

PONE-D-19-24001R1

A theoretical framework for Landsat data modeling based on the matrix variate mean-mixture of normal model

Dear Dr. Naderi:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Daniel Capella Zanotta

Academic Editor

PLOS ONE

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