Benchmarking of hierarchical bayesian model aggregation, xgboost and optimal band ratio analysis (OBRA) models for total suspended sediments retrieval from remote sensing

• المؤلفون الرئيسيون: Pak, Hui Ying, Law, Adrian Wing-Keung, Lin, Weisi
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Civil engineering::Water resources; Engineering::Environmental engineering::Environmental protection; Bayesian Model Aggregation; Remote Sensing; Water Quality Monitoring
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/156772; https://cmswebonline.com/iahr2022/epro/html/stheme-06-09.html

In remote sensing of water quality, the use of data-driven models for the retrieval of water quality parameters has been gaining traction in recent years, especially with the recent advancement in machine learning (ML). The application of deep learning ML models on satellite imageries for retrieving...