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Remotesensing 16 00905 by kristtel.masgo is a document available to read on EtoBox.
This article presents a machine learning-based framework for retrieving water quality parameters (WQPs) in urban rivers using UAV hyperspectral images. The study focuses on a river in Guangzhou, China, and employs various spectral preprocessing and feature selection techniques to enhance the accuracy of WQP inversion. Results indicate that decision tree regression and eXtreme Gradient Boosting Regression models effectively estimate parameters like turbidity and chemical oxygen demand, contributing to improv
- Author
- kristtel.masgo
- Language
- EN