Advancements in satellite observations of inland and coastal waters: building towards a global validation network

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dc.creatorAvouris, D. M.
dc.creatorMaciel, F.
dc.creatorSharp, S. L.
dc.creatorCraig, S. E.
dc.creatorDekker, A. G.
dc.creatorDi Vittorio, C. A.
dc.creatorGardner, J. R.
dc.creatorGoldsmith, E.
dc.creatorGossn, J. I.
dc.creatorGreb, S. R.
dc.creatorGrunert, B. K.
dc.creatorGurlin, D.
dc.creatorJampani, Mahesh
dc.creatorKhan, R. M.
dc.creatorLowin, B.
dc.creatorMcKinna, L.
dc.creatorMouw, C. B.
dc.creatorOgashawara, I.
dc.creatorCalle, S. R.
dc.creatorSalls, W.
dc.creatorSánchez-Cabeza, J.-A.
dc.creatorSchaeffer, B.
dc.creatorSeegers, B. N.
dc.creatorSilander, J.
dc.creatorSmail, E. A.
dc.creatorWang, M.
dc.creatorWerdell, J.
dc.date2025-12-12
dc.date2026-01-02T06:02:04Z
dc.date2026-01-02T06:02:04Z
dc.date.accessioned2026-06-27T18:25:01Z
dc.descriptionThe use of satellite-based remote sensing imagery for water quality monitoring of inland and coastal waters has become widespread over the last few decades, with the expansion of, and investment in, operational Earth-observing missions. Satellite-based sensors are uniquely suited to provide synoptic, system-wide water quality parameter estimates that supplement traditional field-based sampling methods. The remote sensing of water quality parameter estimates is particularly valuable in systems with high temporal and spatial variability, as well as in areas that are difficult to access, or where agencies lack funding for routine monitoring. However, optically complex inland and coastal waters pose additional challenges for developing robust remote sensing retrieval models for optical properties and water quality parameters. One of the biggest challenges is collecting high quality field measurements that are used to calibrate and validate the retrieval algorithms. Here, we present the current status of satellite missions, field methods that include instruments used and commonly measured parameters, and repositories of historical field data that are relevant to inland and coastal water studies. We then present data requirements for model validation and highlight gaps in validation coverage. Finally, we provide considerations for future field campaigns to improve coordination with remote sensing data collection and ensure that field data is well suited for use in model or algorithm development.
dc.identifierhttps://hdl.handle.net/10568/179351
dc.identifier.urihttp://hdl.handle.net/123456789/155158
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceAvouris, D. M.; Maciel, F.; Sharp, S. L.; Craig, S. E.; Dekker, A. G.; Di Vittorio, C. A.; Gardner, J. R.; Goldsmith, E.; Gossn, J. I.; Greb, S. R.; Grunert, B. K.; Gurlin, D.; Jampani, M.; Khan, R. M.; Lowin, B.; McKinna, L.; Mouw, C. B.; Ogashawara, I.; Calle, S. R.; Salls, W.; Sánchez-Cabeza, J.-A.; Schaeffer, B.; Seegers, B. N.; Silander, J.; Smail, E. A.; Wang, M.; Werdell, J. 2025. Advancements in satellite observations of inland and coastal waters: building towards a global validation network. Remote Sensing, 17(24):4008. doi: https://doi.org/10.3390/rs17244008
dc.subjectinland waters
dc.subjectcoastal waters
dc.subjectsatellite observation
dc.subjectwater quality
dc.subjectparameters
dc.subjectmonitoring
dc.subjectremote sensing
dc.titleAdvancements in satellite observations of inland and coastal waters: building towards a global validation network
dc.typeJournal Article

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Instituto Internacional para el Manejo del Agua (IWMI)