Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning

Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning

The particle absorption coefficient of pigments (<i>a</i><sub>ph</sub>(λ)), a critical indicator of phytoplankton spectral absorption properties, is essential for bio-optical models and water quality monitoring. To enhance the accuracy of <i>a</i><sub>ph<...

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Bibliographic Details
Main Authors: Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
inherent optical properties
phytoplankton absorption
particle absorption coefficient
water optical classification
machine learning regression
inland water monitoring
Online Access:https://www.mdpi.com/2072-4292/17/10/1756
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