Next Article in Journal
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
Next Article in Special Issue
Measuring Land Surface Deformation over Soft Clay Area Based on an FIPR SAR Interferometry Algorithm—A Case Study of Beijing Capital International Airport (China)
Previous Article in Journal
Polarization Estimation with a Single Vector Sensor for Radar Detection
Previous Article in Special Issue
Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area
 
 
Article
Peer-Review Record

The Current Crustal Vertical Deformation Features of the Sichuan–Yunnan Region Constrained by Fusing the Leveling Data with the GNSS Data

Remote Sens. 2022, 14(5), 1139; https://doi.org/10.3390/rs14051139
by Yong Zhang 1,2, Caijun Xu 1,*, Zhijiang Zheng 3, Hongbao Liang 3 and Shuang Zhu 3
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Remote Sens. 2022, 14(5), 1139; https://doi.org/10.3390/rs14051139
Submission received: 23 January 2022 / Revised: 22 February 2022 / Accepted: 23 February 2022 / Published: 25 February 2022
(This article belongs to the Special Issue Geodetic Monitoring for Land Deformation)

Round 1

Reviewer 1 Report

In this manuscript, the authors perform the current crustal vertical deformation features of the Sichuan-Yunnan region constrained by fusing the leveling data with the GNSS data. The study is helpful to understand the dynamic process of the southeastern boundary of the QTP and to know the future seismic risks of the key structure in China. I decide to accept the paper after performing the following revisions.

1. For the fusion approach, it is necessary to further clarify why the fusion of GNSS and leveling results is a better result. Actually, in some areas, such as near two faults in the west of Yunnan (by the way, the figure is too low definition to see these faults’ names clearly), the vertical deformation velocity derived from GNSS and precise leveling is not consistent, which is depicted in Figure 1. How to fuse the inconsistent results of GNSS and leveling? How do the fusion results for this region differ from the GNSS-only and leveling-only results? How to judge whether the fusion result is reasonable. Please explain.

2. Figures in this manuscript are too low definition to see clearly, please provide high-resolution Figures.

3. Some spelling issue, such as in line 35 of page 1, the term QDP is wrong. Please check the rest of the manuscript.

Author Response

Appreciate for your constructive suggestions. We response to your comments point by point in the attached file. Thanks again!

Author Response File: Author Response.docx

Reviewer 2 Report

The author use the least squares collocation method to fuse the leveling vertical deformation velocity and GNSS network. This method is meaningful in that it is possible to analyze the crustal movement with improved spatial resolution. Some minor corrections are required to improve the article as below:

  1. Draw the study area and tectonic movement.
  2. Fig1. GNSS arrow are not clear. Draw the arrow a little bigger.
  3. Show the list of earthquake data excluded from the study and if possible, draw of the epicenter of the earthquake in study area 
  4. In this study, the author use Eq.1. But It is more explanation why the author use eq.1 that way.  Show the time series deformation of some GNSS stations 
  5. Could you show error map of after fusing level and GNSS data? 
  6. If possible, you can add GNSS arrow and leveling results in Fig2.

 

 

Author Response

Appreciate for your constructive suggestions. We response to your comments point by point in the attached file. Thanks again!

Author Response File: Author Response.docx

Back to TopTop