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Improving SPM retrieval across diverse transitional waters through satellite-derived OWT classification and per-class algorithm optimization

delete2026-04-30
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OA
AI
J
Junfang Lin *
E
Elizabeth C. Atwood
X
Xiaohan Liu
E
Emmanuel Nwokocha
T
Thomas Jackson
S
Steve Groom
DOI:10.1016/j.jag.2026.105302delete
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Abstract

Abstract

En 中文
• Satellite-derived optical water types (OWTs) refine SPM retrievals in optically diverse transitional waters. • We recalibrate 17 SPM algorithms for each of 11 satellite-derived OWT classes. • A round-robin, multi-metric scheme identifies the optimal algorithm for each OWT. • OWT-membership blending improves MSI SPM accuracy on independent validation datasets. • The framework maps multi-year SPM variability in transitional coastal systems.
Keywords:
Remote sensing
Suspended particulate matter
Optical Water type
Blending
Transitional water quality
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International Journal of Applied Earth Observation and Geoinformation cover
International Journal of Applied Earth Observation and Geoinformation
IF:
8.6
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eumetsat
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18
Papers: 10
Citations: 0
Plymouth Marine Laboratory cover
Plymouth Marine Laboratory
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