Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence

Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence

AbstractThe estimation of water depth in coastal areas and shallow waters is crucial for marine management and monitoring. However, direct measurements using fieldwork methods can be costly and time-consuming. Therefore, remote sensing imagery is a promising source of geospatial information for coas...

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Bibliographic Details
Main Authors: Vahideh Saeidi, Seyd Teymoor Seydi, Bahareh Kalantar, Naonori Ueda, Bahman Tajfirooz, Farzin Shabani
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Explainable artificial intelligence
coastal management
depth estimation
satellite derived bathymetry
hydrography
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2225691

Internet

https://www.tandfonline.com/doi/10.1080/19475705.2023.2225691

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