Multi-Temporal Remote Sensing Inversion of Evapotranspiration in the Lower Yangtze River Based on Landsat 8 Remote Sensing Data and Analysis of Driving Factors
Chaitanya Pande
Round 1
Reviewer 1 Report
Paper is a very interesting and novel work found, great work done by authors. I have accepted the paper for publication.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
For Fig 1, add units on the legend; What kind of monitoring sites? For meteorological data or ET?
For the section of "2.2. Data Acquisition", the measured ET data should be included, and the measured ET is actual ET or potential ET?
Need to explain why LST data was not used.
For Table 1, the remote sensing data obtained is relatively limited, how to obtain monthly ET and annual ET.
For Table 4, will the correlation coefficient be unstable across different years and affect the applicability of the research method?
The year 2020 is not included due to the poor results of the 2020 satellite data, will the stability and reliability of research methods be relatively low?
For Fig 5, RMSE is too small, need to check the calculation process of RMSE; Add units on the coordinate axis.
For Fig 8, the same legend should be used in the figure (same min and max); In the 2019 graph, the water body has values, while in other years' graphs, the water body has no values.
For Fig 12, how to obtain monthly ET and NDVI, because the remote sensing data obtained is relatively limited.
The calculated results (such as annual ET) can be compared with other ET products, such as MOD16 and GLASS ET, the spatial resolution can be different.
Moderate editing of English language required.
Author Response
请参阅附件。
Author Response File: Author Response.docx
Reviewer 3 Report
Nice manuscript but I believe some comments need to be addressed before publication.
Comments for author File: 
Comments.pdf
Ok
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 3 Report
Accept as it is
No
