Retrieving Eutrophic Water in Highly Urbanized Area Coupling UAV Multispectral Data and Machine Learning Algorithms
Round 1
Reviewer 1 Report
This paper was focused on the water quality assessment of four lakes of South China University of Technology, unmanned aerial vehicle (UAV) with multispectral camera and in-situ measurement of the comprehensive trophic level index (TLI) were all conducted. Three machine learning algorithms (XGB, RF, and ANN) are applied to construct the inversion model between multispectral data and observations to further provide a practical framework to estimate water quality. The result and discussion of this study was is of some novelty. A minor revision was suggested as feedback. The author still needs to improve the quality of this paper on these following aspects shown below.
The data and season of the field sampling
What is the reference for the quantification of Trophic State with the lack of ????? data in study?
The conclusion can be summarized more streamlinedly.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Reviewer 2 Report
The following are my comments:
- The Abstract section is too long. Please remove unnecessary text.
- The novelty of the work has to be better shown. In the current form, the focus is on just different methods used and already developed in the literature. In other words, what problem did you solve?
- Add some discussion on the shortcomings of your proposed methods and how to solve them.
- You may find the following papers useful to improve the quality of your manuscript:
- Optimization of Best Management Practices Combination to Control Runoff Water Quality in an Urban Watershed using a Novel Framework of Embedding Response Surface Model. Journal of Hydro-environment Research.
- Climate Change Impact on Water Quality in the Integrated Mahabad Dam Watershed-Reservoir System. Journal of Hydro-environment Research. DOI: 10.1016/j.jher.2021.12.001
- Water Quality Modeling of Mahabad Dam Watershed–Reservoir System under Climate Change Conditions, using SWAT and System Dynamics. Water, 2019, 11, 394. DOI: 10.3390/w11020394
- Climate Change and Eutrophication: A Short Review. Engineering, Technology & Applied Science Research, 2018, 8(6), 3668-3672. DOI: 10.48084/etasr.2392
Author Response
Please see the attachment.
Author Response File: Author Response.docx