Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy)

Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy)

Colored dissolved organic matter (CDOM) is a significant constituent of aquatic systems and biogeochemical cycles. Satellite CDOM retrievals are challenging in inland waters, due to overlapped absorption properties of bio-optical parameters, like Total Suspended Matter (TSM). In this framework, we d...

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Bibliographic Details
Main Authors: Emanuele Ciancia, Alessandra Campanelli, Roberto Colonna, Angelo Palombo, Simone Pascucci, Stefano Pignatti, Nicola Pergola
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
retrieval models
S2-MSI data
inland water reflectance
CDOM
unsupervised classification
Online Access:https://www.mdpi.com/2072-4292/15/24/5718

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