Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3

Constructing multi-source satellite-derived water quality (WQ) products in inland and nearshore coastal waters from the past, present, and future missions is a long-standing challenge. Despite inherent differences in sensors’ spectral capability, spatial sampling, and radiometric performance, resear...

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Veröffentlicht in:	Remote sensing of environment 2022-03, Vol.270 (270), p.112860, Article 112860
Hauptverfasser:	Pahlevan, Nima, Smith, Brandon, Alikas, Krista, Anstee, Janet, Barbosa, Claudio, Binding, Caren, Bresciani, Mariano, Cremella, Bruno, Giardino, Claudia, Gurlin, Daniela, Fernandez, Virginia, Jamet, Cédric, Kangro, Kersti, Lehmann, Moritz K., Loisel, Hubert, Matsushita, Bunkei, Hà, Nguyên, Olmanson, Leif, Potvin, Geneviève, Simis, Stefan G.H., VanderWoude, Andrea, Vantrepotte, Vincent, Ruiz-Verdù, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	absorption Algorithms Aquatic ecosystems artificial intelligence Atmospheric correction Atmospheric models Chlorophyll Coastal waters color data collection Datasets Dissolved organic matter Earth Resources and Remote Sensing Ecosystems environment In situ measurement Indicators Inland and coastal waters Inverse problems Landsat Landsat satellites Lower bounds Machine learning Missions model validation Modelling MSI Ocean, Atmosphere OLCI OLI Performance assessment Performance evaluation radiometry Reflectance Remote sensing Satellite imagery Sciences of the Universe Solid suspensions Spectra Total suspended solids Uncertainty Water quality
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