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Communication
Peer-Review Record

Prediction of Carlson Trophic State Index of Small Inland Water from UAV-Based Multispectral Image Modeling

Appl. Sci. 2023, 13(1), 451; https://doi.org/10.3390/app13010451
by Cheng-Yun Lin 1,2,3, Ming-Shiun Tsai 4, Jeff T. H. Tsai 5 and Chih-Cheng Lu 1,2,4,*
Reviewer 1:
Reviewer 2:
Appl. Sci. 2023, 13(1), 451; https://doi.org/10.3390/app13010451
Submission received: 8 November 2022 / Revised: 12 December 2022 / Accepted: 21 December 2022 / Published: 29 December 2022
(This article belongs to the Topic Applications in Image Analysis and Pattern Recognition)

Round 1

Reviewer 1 Report

 

Journal: Applied Sciences (ISSN 2076-3417)

Manuscript ID: applsci-2052280

Type: Article

Title: A multi-spectrometric statistical modeling study for the rapid forecast of Carlson trophic state index of small inland water.

Authors: Cheng-Yun Lin , Ming-Shiun Tsai , Jeff T. H. Tsai , Chih-Cheng Lu *.

 

a)           Write the perspective of the present work carefully.

b)          Add recent refs from the literature survey.

c)           What is the main question addressed by the research?

d)          Do you consider the topic original or relevant in the field? Does it address a specific gap in the field?

e)           molybdenum blue was quantified by measuring its absorbance at 880 nm wavelength using a spectrophotometer, why this wavelength?

f)            What is the equation used for RMSE calculated?

 

g)           Refer to the recent refs for the calculations

 

Best Regards

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

1. The data collected from multispectral images varies greatly depending on the time of samples taken. The weather condition matters a lot in this assay. What is the maximum sample point the method can handle at one time? What is the area range that the technique can detect? What is the environmental effect on the detection? The author should explain.

2. The author needs to provide more data at a shorter time interval to eliminate the potential measurement error.

3. The data was invalid since the pound is now an artificial leisure place with very limited biodiversity and is not directly related to a drinking water source. The natural water source's condition is much more complicated, with higher requirements of detection ability (high throughput). The author should clearly explain the limitation and potential improvement of the reported method.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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