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Remote Sensing
Volume 15
Issue 12
10.3390/rs15123135
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Article
Peer-Review Record

An Integrated Framework for Spatiotemporally Merging Multi-Sources Precipitation Based on F-SVD and ConvLSTM

Remote Sens. 2023, 15(12), 3135; https://doi.org/10.3390/rs15123135
by Sheng Sheng 1, Hua Chen 1,*, Kangling Lin 1, Nie Zhou 1, Bingru Tian 1 and Chong-Yu Xu 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Remote Sens. 2023, 15(12), 3135; https://doi.org/10.3390/rs15123135
Submission received: 28 April 2023 / Revised: 10 June 2023 / Accepted: 13 June 2023 / Published: 15 June 2023
(This article belongs to the Special Issue Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II)

Round 1

Reviewer 1 Report

Comments to the Authors:

Review of remotesensing-2398915: "An integrated framework for spatiotemporally merging multisources precipitation based on F-SVD and ConvLSTM" by Sheng Sheng, Hua Chen*, Kangling Lin, Nie Zhou, Bingru Tian and Chongyu Xu.

In this contribution, the authors proposed an integrated framework combining Funk-Singular Value Decomposition (F-SVD) and Convolutional Long Short-Term Memory (ConvLSTM) to generate accurate and reliable spatiotemporal precipitation estimates by utilizing their spatiotemporal correlation patterns. The research content is innovative and has reference significance for improving the quality of satellite precipitation products. The following are some issues mentioned in the article:

 1. The study area is too small and the number of stations is too few. Currently, meteorological departments have established a large number of regional automatic stations. Why not use more stations for evaluation and modeling?

2. It is not mentioned whether the 15 rainfall stations used in the study include international exchange stations. International exchange stations participate in the IMERG satellite precipitation fusion and cannot be used as evaluation or training stations.

3. Figure 5 should be set with equal intervals instead of using automatic segmentation for plotting. This setting has no basis and cannot show the changing pattern.

4. The font size of the plots is too small, such as in Figure 5 to Figure 7.

Minor editing of English language required

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report


Comments for author File: Comments.docx

Please have the manuscript professionally polished for English language refinement.  

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

Try to choose a large research area to ensure the representativeness of the research results

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