Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches

Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches

Satellite remote sensing provides a cost-effective and large-scale alternative to traditional methods for retrieving water quality parameters for inland waters. Effective water quality parameter retrieval via optical satellite remote sensing requires three key components: (1) a sensor whose measurem...

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Bibliographic Details
Main Authors: Mohsen Ansari, Anders Knudby, Meisam Amani, Michael Sawada
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
satellite remote sensing
inland water quality parameters
water quality retrieval
machine learning models
atmospheric correction
bio-optical methods
Online Access:https://www.mdpi.com/2072-4292/17/10/1734
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