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Article
Peer-Review Record

Fusion of Spatially Heterogeneous GNSS and InSAR Deformation Data Using a Multiresolution Segmentation Algorithm and Its Application in the Inversion of Slip Distribution

Remote Sens. 2022, 14(14), 3293; https://doi.org/10.3390/rs14143293
by Huineng Yan 1, Wujiao Dai 1,*, Hongzhi Liu 1, Han Gao 1, Wesley R. Neely 2 and Wenbin Xu 1
Reviewer 1:
Reviewer 2:
Remote Sens. 2022, 14(14), 3293; https://doi.org/10.3390/rs14143293
Submission received: 28 May 2022 / Revised: 1 July 2022 / Accepted: 5 July 2022 / Published: 8 July 2022
(This article belongs to the Special Issue New Insights in InSAR and GNSS Measurements)

Round 1

Reviewer 1 Report

How to use multi-resolution segmentation algorithm to fuse spatial heterogeneous GNSS and InSAR deformation data and its application is an interesting and important topic. The method and results supported the conclusions given by the authors. The paper is generally well written. There are several suggestions in my side.

1, P6, the number of secondary headings in part 3 does not correspond to the number of primary headings.

2, Although the performance of GInSAR has been proved in reference " GInSAR: A cGPS correction for enhanced InSAR time series ", it is better to present an evaluation diagram of the performance of GInSAR in this experiment to increase the persuasiveness of the experiment.

3, Most of the formulas are centered and aligned, while formulas (1), (4), (11) and (12) are not centered. Please unify the formula format.

In my opinion, the paper should be published after a minor revision.

Author Response

Please see the attachment.

Reviewer 2 Report

see attached

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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