Jie-Lun Chiang — Papers on Cortexa

crossrefEnvironments2023-10-02Cited by 42

Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring

Sabastian Simbarashe Mukonza, Jie-Lun Chiang

This review paper adopts bibliometric and meta-analysis approaches to explore the application of supervised machine learning regression models in satellite-based water quality monitoring. The consistent pattern observed across peer-reviewed research papers shows an increasing int…

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crossrefWater2022-09-19Cited by 11

Micro-Climate Computed Machine and Deep Learning Models for Prediction of Surface Water Temperature Using Satellite Data in Mundan Water Reservoir

Sabastian Simbarashe Mukonza, Jie-Lun Chiang

Water temperature is an important indicator of water quality for surface water resources because it impacts solubility of dissolved gases in water, affects metabolic rates of aquatic inhabitants, such as fish and harmful algal blooms (HABs), and determines the fate of water resid…

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