Crop Classification and Growth Monitoring in Coal Mining Subsidence Water Areas Based on Sentinel Satellite

Round 1

Reviewer 1 Report

Crop classification and growth monitoring in coal mining subsidence areas are critical for local food security. The authors used machine learning methods to map the spatial distribution of aquatic crops (lotus, rice, and euryale) and terrestrial crops (mainly corn), and used sentinel satellite data to track the crop grow in coal mining subsidence areas. However, the article is poorly written in English and is hard to understand. The structure of the manuscript is also problematic and the methods section is not written clearly enough.

English very difficult to understand/incomprehensible

Author Response

Dear reviewer, hello. Thank you for your comments. They have greatly helped us in revising the article, making our research focus and significance clearer, and identifying areas for improvement.

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors of the study, using sentinel satellites, determined the impact of land subsidence caused by underground coal mining on crops in China. The work is interesting and has, apart from scientific potential, also application potential. However, it requires necessary corrections before possible publication. Most importantly: what new does work bring to learning?

Why are the general consequences of land subsidence not outlined, which cause losses not only in agricultural areas, but also in built-up areas, e.g. Solarski, M., Machowski, R., Rzetala, M. et al. Hypsometric changes in urban areas resulting from multiple years of mining activity. Sci Rep. 12, 2982 (2022). https://doi.org/10.1038/s41598-022-06847-8

Akcin, H., Kutoglu, H. S., Kemaldere, H., Deguchi, T. & Koksal, E. Monitoring subsidence effects in the urban area of Zonguldak Hardcoal Basin of Turkey by InSAR-GIS integration. Nat. Hazards Earth Syst. Sci. 10(9), 1807–1814. https://doi.org/10.5194/nhess-10-1807-2010 (2010).

Wang, J., Wang, P., Qin, Q. & Wang, H. The effects of land subsidence and rehabilitation on soil hydraulic properties in a mining area in the Loess Plateau of China. CATENA 159, 51–59. https://doi.org/10.1016/j.catena.2017.08.001 (2017).

Fan, T. et al. Water quality variation of mining-subsidence lake during the initial stage: Cases study of Zhangji and Guqiao Mines. J. Coal Sci. Eng. 18(3), 297–301 (2012).

Guzy, A. & Malinowska, A. A. Assessment of the impact of the spatial extent of land subsidence and aquifer system drainage induced by underground mining. Sustainability 12(19), 7871. https://doi.org/10.3390/su12197871 (2020).

The main weakness of the work is the way of presenting the research results in the form of drawings, mainly the poor resolution of the presented figures, which requires improvement before possible publication.

 

This problem is not sufficiently outlined in the introduction. Finally, the drawings need improvement, they look as if they were made in too low resolution. The level of presentation of the results leaves a lot to be desired and should be improved before the publication of the paper.

Author Response

Dear reviewer, hello. Thank you for your comments. They have greatly helped us in revising the article, making our research focus and significance clearer, and identifying areas for improvement.

Author Response File: Author Response.pdf

Reviewer 3 Report

I hardly suggest that you better explain the number of observations you made to compare to remote sense images

Comments for author File: Comments.pdf

In general English must be improved

Author Response

Dear reviewer, hello. Thank you for your comments. They have greatly helped us in revising the article, making our research focus and significance clearer, and identifying areas for improvement.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Most of my previous comments have been addressed.

Reviewer 2 Report

The work has been clearly changed and corrected, so I believe it can be accepted for publication.