Next Article in Journal
Spatial Assessment of Community Resilience from 2012 Hurricane Sandy Using Nighttime Light
Next Article in Special Issue
The Classification Method Study of Crops Remote Sensing with Deep Learning, Machine Learning, and Google Earth Engine
Previous Article in Journal
Influence of Varying Solar Zenith Angles on Land Surface Phenology Derived from Vegetation Indices: A Case Study in the Harvard Forest
Previous Article in Special Issue
Crop Classification of Satellite Imagery Using Synthetic Multitemporal and Multispectral Images in Convolutional Neural Networks
 
 
Article
Peer-Review Record

Identification of Infiltration Features and Hydraulic Properties of Soils Based on Crop Water Stress Derived from Remotely Sensed Data

Remote Sens. 2021, 13(20), 4127; https://doi.org/10.3390/rs13204127
by Jakub Brom 1,*, Renata Duffková 2, Jan Haberle 3, Antonín Zajíček 2, Václav Nedbal 1, Tereza Bernasová 1 and Kateřina Křováková 1
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3: Anonymous
Remote Sens. 2021, 13(20), 4127; https://doi.org/10.3390/rs13204127
Submission received: 31 August 2021 / Revised: 4 October 2021 / Accepted: 12 October 2021 / Published: 15 October 2021

Round 1

Reviewer 1 Report

This is an interesting research about how remote sensing technology can be used to study hydraulic properties of soils based on crop conditions focusing water stress. The manuscript is well written. However, I identified few points of concerns, which I think need to be addressed, and the manuscript should be revised accordingly before it can be published.

Specific Comments:

Please rephrase this sentence. It is confusing.

L: 6-9

‘Estimation of saturated soil hydraulic conductivity (Ks) and 7 field water capacity (FWC) was based on a combination of in situ measurements and crop water stress derived using the CropWater Stress Index (CWSI) from aerial thermal and hyperspectral imaging.’

L: 9

Put (SVR) after ‘Support Vector Regression’  

L: 12-13

‘The regression coefficient values for estimation of FWC for topsoil (0–0.3 m) ranged from 0.38 to 0.99.’

Are trying to indicate R2, then you should say that.

L: 93

What is OPTRAM model?

L: 75-777

Need reference for the following statement:

‘A suitable approach for assessing soil hydraulic properties is offered by remote sensing (RS), which has considerable potential, especially for precision agriculture and, by extension, for protecting surface waters from eutrophication.’

L: 337

‘Root Mean Square Method (RMSE)’ should be ‘Root Mean Square Error (RMSE)’

Please check the accuracy of equation (13), looks like the square for (P-O) is missing.

Please double check all other equations as well for typos, just to make sure.   

General comments:

  • Need more references for the remote sensing section of literature review.
  • All figures need a ‘north arrow’.
  • Which data were used to calculate SAVI and MSAVI? CASI? I suggest adding some discussions to clarify this.
  • MSAVI equation needs NIR and R. Why have you decided to use R800 and R670? Did you follow any specific procedure to select those bands? Please explain. Some may decide to select other bands to do the same calculation.
  • Same goes to NDMI too.
  • Conclusion doesn’t say specifics about what aerial image needs to be used, although this research used specific data.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

row 120: coarse fragments instead skeleton

row 141 Texturally heavier, maybe is better more clayey

it is not clear who did the soil survey: is it a soil legacy map? and which is the scale map?

row 404 never seen writing "skeletonisation"

pedotrasfer function abbreviation is PTFs

row 200 is more correct coarse fragmments instead of stone

row 486 for wrb 2014 Arenic in a supplementary qualifier:  Leptic Arenic Regosol become Leptic Regosol (Arenic) and so on for others

concluding the part where the soil is described and the pedology needs to be reviewed

 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Well written article for obtaining FWC and Ks using on in-situ measurements and RS data.

My comment on the article is as following:

 

Line 114

Better describe/add more specific research goals to what extent.

Line 176

Locate the sampling point where is measured of Ks in site figures (ex. figure6).

Each site size(locality) is over 10ha in table 1. Assuming special variability would be large, Is it enough measurements of Ks (e.g., 4 samples) to access each site??

Line 386

Would be great to add a figure of relationship between predicted FWC and measured FWC as like figure5.

Line 660

Recommend enriching conclusions

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Thank you very much for revising the manuscript by addressing my questions and suggestions. The manuscript has been improved significantly and it is my opinion that it is ready for publication now.

Back to TopTop