Articles | Volume 18, issue 2
https://doi.org/10.5194/essd-18-779-2026
https://doi.org/10.5194/essd-18-779-2026
Data description paper
 | 
02 Feb 2026
Data description paper |  | 02 Feb 2026

Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations

Benjamin Page, Christopher J. Crawford, Saeed Arab, Gail Schmidt, Christopher Barnes, and Danika Wellington

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Cited articles

Arena, M., Pratolongo, P., Loisel, H., Tran, M. D., Jorge, D. S. F., and Delgado, A. L.: Optical water characterization and atmospheric correction assessment of estuarine and coastal waters around the AERONET-OC Bahia Blanca, Front. Remote Sens., 5, 1305787, https://doi.org/10.3389/frsen.2024.1305787, 2024. 
Ashapure, A., Smith, B., O'Shea, R., Maciel, D. A., Saranathan, A., Balasubramanian, S. V., and Zhai, P. W.: Aquaverse: A Machine Learning-Based Atmospheric Correction Framework for Inland and Coastal Waters, SSRN, https://doi.org/10.2139/ssrn.5078832, 2025. 
Bailey, S. W., Franz, B. A., and Werdell, P. J.: Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing, Opt. Express, 18, 7521–7527, https://doi.org/10.1364/OE.18.007521, 2010. 
Bassani, C., Cazzaniga, I., Manzo, C., Bresciani, M., Braga, F., Giardino, C., and Brando, V.: Atmospheric and adjacency correction of Landsat-8 imagery over inland and coastal waters near Aeronet-OC sites, ESA SP., https://hdl.handle.net/10281/129518 (last access: 1 January 2026), 2016. 
Bates, J. J. and Privette, J. L.: A maturity model for assessing the completeness of climate data records, Eos Trans. AGU, 93, 441–441, https://doi.org/10.1029/2012EO440006, 2012 
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The purpose of this paper is to communicate United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center’s origins, objectives, and future directions for operationalizing global Level 2 Aquatic Reflectance (AR) science products for Landsat satellite missions.
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