An Integrated Sensor Network and Data Driven Approach to Satellite Remote Sensing of Dissolved Organic Matter

Abstract Traditional remote sensing retrieval models for water quality have historically relied on limited, localized data sets due to the prohibitive costs of extensive field campaigns and logistical challenges of collecting match‐up data with satellite overpasses. As a result, these models often l...

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Hauptverfasser: Dulcinea M. Avouris, Erin L. Hestir, Jacob Fleck, Jeffrey A. Hansen, Brian A. Bergamaschi
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Geophysical Union (AGU) 2025-09-01
Schriftenreihe:Earth and Space Science
Schlagworte:
remote sensing
data driven models
sensor networks
DOM
Online Zugang:https://doi.org/10.1029/2024EA004048
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