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Article
Peer-Review Record

Drought Risk Assessment of Winter Wheat at Different Growth Stages in Huang-Huai-Hai Plain Based on Nonstationary Standardized Precipitation Evapotranspiration Index and Crop Coefficient

Remote Sens. 2024, 16(9), 1625; https://doi.org/10.3390/rs16091625
by Wenhui Chen 1, Rui Yao 1,2, Peng Sun 1,*, Qiang Zhang 3, Vijay P. Singh 4, Shao Sun 5, Amir AghaKouchak 6, Chenhao Ge 1 and Huilin Yang 1
Reviewer 1:
Reviewer 2:
Reviewer 3:
Remote Sens. 2024, 16(9), 1625; https://doi.org/10.3390/rs16091625
Submission received: 23 February 2024 / Revised: 9 April 2024 / Accepted: 29 April 2024 / Published: 2 May 2024
(This article belongs to the Section Biogeosciences Remote Sensing)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

I have carefully read the manuscript entitled 'Drought Risk Assessment of Winter Wheat at Different Growth Stages in Huang-Huai-Hai Plain Based on NSPEI and Crop Coefficient.' The language of this thesis is clear, and its logical structure is rigorous. This manuscript may be accepted after minor revisions. Some problems need to be corrected, which are listed below:

Introduction:

1. There are some formatting issues in the article that need to be scrutinized, for example, there is a formatting issue with lines 49 through 51 of Section 1.

2. In lines 85-87, citations need to be given. At the same time, it should be pointed out that the previous studies generally underestimated the intensity of short-term continuous strong drought and overestimated the intensity of long-term weak drought when monitoring the intensity of drought.

Materials and Methods:

3. Section 2.1, to demonstrate scientific validity and rigor, it is important to support the idea of average annual precipitation in the study area and the concentration of precipitation in the summer months with literature.

4. Lines 123-124, citation needed.

5. Place 255 lines of Table S1 in the body.

6. When calculating the drought risk index, the drought frequency is mentioned, how it is calculated.

Results:

7. 285 lines, six machine learning models, check.

8. Line 294, it is recommended to add an introduction to the vertical axis label at the title of Figure.

9. 321-325: "The annual average of 2000 is 146.66mm, the maximum is 165mm, and the average is 146.66mm. The minimum value is 130.58mm and the minimum value is only 58.67mm ". As can be seen from Table 3, the average annual water demand of the sowing period is 146.66mm, the highest water demand is 165.00mm, and the lowest water demand is 130.58mm. The minimum sowing time W was 58.67 mm. Please mark the stages and rewrite the sentence to make it easier for the reader to understand.

 

Comments on the Quality of English Language

Minor editing of English language required

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The manuscript, in its current state, is challenging to comprehend. It contains numerous language errors that require correction. Furthermore, the scientific methods and tests are not adequately explained, lacking comprehensive descriptions. Several terms and models are introduced abruptly without clear elucidation of their connections. I recommend rewriting the methods section to ensure clarity and comprehensibility, facilitating easier understanding for readers.

Comments for author File: Comments.pdf

Comments on the Quality of English Language

The English language quality and text structuring is very poor.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The paper proposed A daily-scale Non-stationary Standardized Precipitation Evapotranspiration Index (NSPEI) based on winter wheat crop coefficient (Kc) to assess drought characteristics during different growth stages of winter wheat. The study quantitatively identified the impact of drought on winter wheat yield at various growth stages. Findings revealed that water demand for winter wheat decreased with increasing latitude, while water shortage was influenced by effective precipitation, showing a decreasing trend from the middle towards both sides. Water demand and shortage increased during the jointing and heading stages but decreased during other growth stages. Drought duration and intensity exhibited similar spatial distribution patterns, with higher levels observed in the northern region compared to the southern region. Water shortage and drought intensity increased during the jointing and heading stages. The most significant impact of drought on winter wheat yield occurred during the tillering, jointing, and heading stages. Areas with high winter wheat yield loss due to drought were primarily located in the northeast and south-central regions. The application of this paper is interesting, but the paper did not use any remote sensing data or technologies which may be not suitable for this remote sensing journal. My comments are as follows.

 

The introduction lacks of more recent reviews about the application of Non-stationary Standardized Precipitation Evapotranspiration Index (NSPEI) for drought monitoring and climate changes.

 

The structure of sections 2 and 3 is disorganized, with subsections lacking logical order. For instance, section 2.3.6 is not appropriately comparable to sections 2.3.5 and 2.3.7.

 

In figure 2, step 4, drought risk spatio-temporal characteristics is not clear. The pictures are too vague

 

The thresholds in Table 2 lack sponsors from references.

 

Paper lacks of line numbers.

 

A paragraph in Section 2.3.3 is out of frame of the paper.

 

Equation 14 is out of format.

 

Linear regression (LR), stepwise regression (STEP), Ridge regression (RIDGE), and support vector machine (SVM) are not introduced in section 2.

 

The scale of demand in each plot of Figure 5 and Figure 6 can be consistent to show the differences among different growth stages.

 

The map of spatial distribution of water demand or any other elements are not calculated from remote sensing data.

 

Section 4 can discuss their results with other relevant literatures to illustrate their advantages.

 

 

Comments on the Quality of English Language

 Minor editing of English language required

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

As shared with Editor

Comments on the Quality of English Language

It would be better to send paper for English language correction/ improvements. However it is better than the previous version.

Reviewer 3 Report

Comments and Suggestions for Authors

Accept

Comments on the Quality of English Language

Minor editing of English language required

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