Upscaling Remote Sensing Inversion Model of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai Agricultural Region, China
Round 1
Reviewer 1 Report
Dear Authors,
Some suggestions:
the title should be shorter and clearer (but leave the study area in it).
Try to shorten abstract. It is oveloaded now.
I founded some small typos in the text. Correct them with the editor, please. The text is filled up with the trivial statement as " (addition, subtraction, multiplication, division, and normalization, l.213-214)". Try leave out them omit
The figure captions should be more detailled.
You used rather simple soil moisture indexes. In the literature [28],[29-31] you missed the TVDI index which combine the moisture,vegetation indexes and land surface temperature. Are you aware such more advanced indexes?
Model validation of spatial phenomena using R2 is somewhat simplistic. Could you comment this in the conclusions. What are weaker sides of your methodology? Describe it, please.
Best regards,
Reviewer
Author Response
Dear reviewer, the co-authors and I would like to thank you for the time and effort spent in reviewing the manuscript. For your questions and suggestions on the article, I have made detailed explanations in the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
REVIEW FOR remotesensing-1496432
Remote Sensing Estimation Model and Upscaling Inversion of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai Agricultural Region, China.
This study tried to use molding to predict the Wheat Field Cultivated Land Quality. the Study is well designed and structured, however, there are a few comments that need to be addressed before the next publication process:
1- The research gap in the introduction section needs to be highlighted.
2- Figures contain text which is readable. It is necessary to improve the quality and resolution of the figures.
3- The discussion section needs to develop and cover all the research founding and compare them with the previous findings.
Author Response
Dear reviewer, the co-authors and I would like to thank you for the time and effort spent in reviewing the manuscript. For your questions and suggestions on the article, I have made detailed explanations in the attachment.
Author Response File: Author Response.docx
Reviewer 3 Report
Your work is interested, written well, and organized.
This manuscript reports on a study of Remote Sensing Estimation Model and Upscaling Inversion of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai, China. The study design meets the general standards and from what I can judge the data is being collected and analyzed appropriately. This work is an unpublished manuscript with relevant information that should be made public in a scientific journal for discussion among scientists working in the field.
However, there are some comments should be considered before publishing, in this way, the social and scientific relevance of the manuscript would be improved:
Introduction
Line 74: should say: So,
Materials and Methods
Line 169: should say: we
In figure 3 (a) the legend is not distinguished; I suggest increasing the font size
Line 344: add space at the end of word: compared
Discussion
I continue to add a paragraph that summarizes the importance, usefulness and social relevance, contemporary of the study, specifically pointing out the Impact, Benefit and Social Projection, something like this (for example):
Line 457:
(6) The results presented here emphasize the adequate selection of remote sensing indicators for the evaluation of CLQ, this being an alternative for other agricultural territories explored in Latin America [47, 48] and China [49, 50] whose impact would be beneficial when applying techniques such as those developed in our study. quickly, efficiently and analyze the spatio-temporal variation of the evaluations.
(7) The techniques developed in our study can allow us to distinguish potentially suitable areas to obtain high levels of productivity and lead to long-term sustainability in these types of important areas. Studies of the quality of cultivated land developed in tropical areas [51-52], establish that commercial banana plantations in agricultural areas of the Venezuelan plains were characterized by a reduction considerable in the production and productivity due to change and deterioration of the land (mainly physical, chemical and biological properties of the soil), these variables being the most determinant of the quality of banana soil in plains.
References
I suggest adding recent references which address the issue in question in Latin American and China territories. Suggested citations are for genuine scientific reasons that emphasize the current topic of study in context:
[47] Olivares-Campos, B., López-Beltrán, M., & Lobo-Luján, D., 2019. Changes in land use and vegetation in the agrarian community Kashaama, Anzoátegui, Venezuela: 2001-2013. Rev. geogr. Am. Cent. 2(63), 269-291. https://doi.org/10.15359/rgac.63-2.10
[48] Paredes-Trejo, F.J., Barbosa, H.A. and Kumar, T.L., 2017. Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil. J. Arid Environ. 139, 26-40. https://doi.org/10.1016/j.jaridenv.2016.12.009
[49] Shi, Y., Duan, W., Fleskens, L., Li, M. and Hao, J., 2020. Study on evaluation of regional cultivated land quality based on resource-asset-capital attributes and its spatial mechanism. Applied Geography, 125,102284. https://doi.org/10.1016/j.apgeog.2020.102284
[50] Zhang, T., Ma, W., Cai, L., 2021, May. Quality Assessment and Characteristic Analysis of Cultivated Land in Yongchang County. In: Li X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_62
[51] Rondon, T., Hernandez, RM., Guzman, M., 2021. Soil organic carbon, physical fractions of the macro-organic matter, and soil stability relationship in lacustrine soils under banana crop. PLoS One 16(7), e0254121. https://doi.org/10.1371/journal.pone.0254121
[52] Olivares, BO., Calero, J., Rey, JC., Lobo, D., Landa, BB., Gómez, JA., 2022. Correlation of banana productivity levels and soil morphological properties using regularized optimal scaling regression. Catena 208, 105718. https://doi.org/10.1016/j.catena.2021.105718
Author Response
Dear reviewer, the co-authors and I would like to thank you for the time and effort spent in reviewing the manuscript. For your questions and suggestions on the article, I have made detailed explanations in the attachment.
Author Response File: Author Response.docx
