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Alvain, S, Le Quere, C, Bopp, L, Racault, M-FLP, Beaugrand, G, Dessailly, D and Buitenhuis, E 2013 Rapid climatic driven shifts of diatoms at high latitudes. Remote Sensing of Environment, 132. 195 - 201. https://doi.org/10.1016/j.rse.2013.01.014

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Andrefouet, S, Costello, MJ, Rast, M and Sathyendranath, S 2008 Earth observations for marine and coastal biodiversity and ecosystems. Remote Sensing of Environment, 112(8). 3297 - 3299. https://doi.org/10.1016/j.rse.2008.04.006

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Bentamy, A, Piollé, JF, Grouazel, A, Danielson, R, Gulev, S, Paul, F, Azelmat, H, Mathieu, PP, von Schuckmann, K, Sathyendranath, S, Evers-King, H, Esau, I, Johannessen, JA, Clayson, CA, Pinker, RT, Grodsky, SA, Bourassa, M, Smith, SR, Haines, K, Valdivieso, M, Merchant, CJ, Chapron, B, Anderson, A, Hollmann, R and Josey, SA 2017 Review and assessment of latent and sensible heat flux accuracy over the global oceans. Remote Sensing of Environment, 201. 196-218. https://doi.org/10.1016/j.rse.2017.08.016

Brewin, RJW, Dall’Olmo, G, Pardo, S, van Dongen-Vogels, V and Boss, ES 2016 Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals. Remote Sensing of Environment, 183. 82-97. https://doi.org/10.1016/j.rse.2016.05.005

Brewin, RJW, Hardman-Mountford, NJ, Lavender, SJ, Raitsos, DE, Hirata, T, Uitz, J, Devred, E, Bricaud, A, Ciotti, AM and Gentili, B 2011 An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing. Remote Sensing of Environment, 115 (2). 325-339.

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Brewin, RJW, Raitsos, DE, Dall’Olmo, G, Zarokanellos, N, Jackson, T, Racault, M-FLP, Boss, ES, Sathyendranath, S, Jones, BH and Hoteit, I 2015 Regional ocean-colour chlorophyll algorithms for the Red Sea. Remote Sensing of Environment, 165. 64-85. https://doi.org/10.1016/j.rse.2015.04.024

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Brewin, RJW, Raitsos, DE, Pradhan, Y and Hoteit, I 2013 Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence. Remote Sensing of Environment, 136. 218 - 224. https://doi.org/10.1016/j.rse.2013.04.018

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Brewin, RJW, Sathyendranath, S, Jackson, T, Barlow, RG, Brotas, V, Airs, RL and Lamont, T 2015 Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class. Remote Sensing of Environment, 168. 437-450. https://doi.org/10.1016/j.rse.2015.07.004

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Brewin, RJW, Sathyendranath, S, Müller, D, Brockmann, C, Deschamps, P-Y, Devred, E, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Groom, SB, Horseman, A, Hu, C, Krasemann, H, Lee, ZP, Maritorena, S, Melin, F, Peters, M, Platt, T, Regner, P, Smyth, TJ, Steinmetz, F, Swinton, J, Werdell, J and White, GN 2015 The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment, 162. 271-294. https://doi.org/10.1016/j.rse.2013.09.016

Brito, AC, Sá, C, Brotas, V, Brewin, RJW, Silva, T, Vitorino, J, Platt, T and Sathyendranath, S 2015 Effect of phytoplankton size classes on bio-optical properties of phytoplankton in the Western Iberian coast: Application of models. Remote Sensing of Environment, 156. 537-550. https://doi.org/10.1016/j.rse.2014.10.020

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Brotas, V, Brewin, RJW, Sa, C, Brito, AC, Silva, A, Mendes, CR, Diniz, T, Kaufmann, M, Tarran, GA, Groom, SB, Platt, T and Sathyendranath, S 2013 Deriving phytoplankton size classes from satellite data: Validation along a trophic gradient in the eastern Atlantic Ocean. Remote Sensing of Environment, 134. 66 - 77. https://doi.org/10.1016/j.rse.2013.02.013

Caldeira, RMA, Groom, SB, Miller, PI, Pilgrim, DA and Nezlin, NP 2002 Sea-surface signatures of the island mass effect phenomena around Madeira Island Northeast Atlantic. Remote Sensing of Environment, 80 (2). 336 - 360. https://doi.org/10.1016/S0034-4257(01)00316-9

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Cui, T, Zhang, JH, Groom, SB, Sun, L, Smyth, TJ and Sathyendranath, S 2010 Validation of MERIS ocean-color products in the Bohai Sea: A case study for turbid coastal waters. Remote Sensing of Environment, 114. 2326 - 2336. https://doi.org/10.1016/j.rse.2010.05.009

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Danielson, RE, Johannessen, JA, Quartly, GD, Rio, M-H, Chapron, B, Collard, F and Donlon, C 2018 Exploitation of error correlation in a large analysis validation: GlobCurrent case study. Remote Sensing of Environment, 217. 476-490. https://doi.org/10.1016/j.rse.2018.07.016

Davies, BFR, Oiry, S, Rosa, P, Zoffoli, ML, Sousa, AI, Thomas, OR, Smale, DA and Austen, MC 2024 Intertidal seagrass extent from Sentinel-2 time-series show distinct trajectories in Western Europe. Remote Sensing of Environment, 312. https://doi.org/10.1016/j.rse.2024.114340

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Devred, E, Martin, J, Sathyendranath, S, Stuart, V, Horne, E, Platt, T, Forget, M-H and Smith, P 2018 Development of a conceptual warning system for toxic levels of Alexandrium fundyense in the Bay of Fundy based on remote sensing data. Remote Sensing of Environment, 211. 413-424. https://doi.org/10.1016/j.rse.2018.04.022

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Devred, E, Sathyendranath, S, Stuart, V and Platt, T 2011 A three component classification of phytoplankton absorption spectra: Application to ocean-color data. Remote Sensing of Environment, 115. 2255 - 2266. https://doi.org/10.1016/j.rse.2011.04.025

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Disney, MI, Kalogirou, V, Lewis, P, Prieto-Blanco, A, Hancock, S and Pfeifer, M 2010 Simulating the impact of discrete-return lidar system and survey characteristics over young conifer and broadleaf forests. Remote Sensing of Environment, 114 (7. 1546 - 1560. https://doi.org/10.1016/j.rse.2010.02.009

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Fichot, CG, Sathyendranath, S and Miller, WL 2008 SeaUV and SeaUV(C): Algorithms for the retrieval of UV/Visible diffuse attenuation coefficients from ocean color. Remote Sensing of Environment, 112(4). 1584 - 1602. https://doi.org/10.1016/j.rse.2007.08.009

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Gittings, J, Raitsos, DE, Racault, M-FLP, Brewin, RJW, Sathyendranath, S and Platt, T 2017 Seasonal phytoplankton blooms in the Gulf of Aden revealed by remote Sensing. Remote Sensing of Environment, 189. 56-66. https://doi.org/10.1016/j.rse.2016.10.043

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Gittings, JA, Brewin, RJW, Raitsos, DE, Kheireddine, M, Ouhssain, M, Jones, BH and Hoteit, I 2019 Remotely sensing phytoplankton size structure in the Red Sea. Remote Sensing of Environment, 234. 111387. https://doi.org/10.1016/j.rse.2019.111387

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Gohin, F, Van der Zande, D, Tilstone, GH, Eleveld, MA, Lefebvre, A, Andrieux-Loyer, F, Blauw, AN, Bryère, P, Devreker, D, Garnesson, P, Hernández Fariñas, T, Lamaury, Y, Lampert, L, Lavigne, H, Menet-Nedelec, F, Pardo, S and Saulquin, B 2019 Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?. Remote Sensing of Environment, 233. 111343. https://doi.org/10.1016/j.rse.2019.111343

Hardman-Mountford, NJ, Hirata, T, Richardson, K and Aiken, J 2008 An objective methodology for the classification of ecological pattern into biomes and provinces for the pelagic ocean. Remote Sensing of Environment, 112. 3341 - 3352. https://doi.org/10.1016/j.rse.2008.02.016

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Hirata, T, Aiken, J, Hardman-Mountford, NJ, Smyth, TJ and Barlow, RG 2008 An absorption model to determine phytoplankton size classes from satellite ocean colour. Remote Sensing of Environment, 112(6). 3153 - 3159. https://doi.org/10.1016/j.rse.2008.03.011

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Jackson, T, Sathyendranath, S and Mélin, F 2017 An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.03.036

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Kostadinov, T, Cabré, A, Vedantham, H, Marinov, I, Bracher, A, Brewin, RJW, Bricaud, A, Hirata, T, Hirawake, T, Hardman-Mountford, NJ, Mouw, C, Roy, S and Uitz, J 2017 Inter-comparison of phytoplankton functional types derived from ocean color algorithms and Earth System Models. Remote Sensing of Environment, 190. 162-177. https://doi.org/10.1016/j.rse.2016.11.014

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Kratzer, S, Brockmann, C and Moore, GF 2008 Using MERIS full resolution data to monitor coastal waters - A case study from Himmerfjarden a fjord-like bay in the northwestern Baltic Sea. Remote Sensing of Environment, 112(5). 2284 - 2300. https://doi.org/10.1016/j.rse.2007.10.006

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Lamont, T, Brewin, RJW and Barlow, RG 2018 Seasonal variation in remotely-sensed phytoplankton size structure around Southern Africa. Remote Sensing of Environment, 204. 617-631. https://doi.org/10.1016/j.rse.2017.09.038

Land, PE, Findlay, HS, Shutler, JD, Ashton, IGC, Holding, T, Grouazel, A, Girard-Ardhuin, F, Reul, N, Piollé, J-F, Chapron, B, Quilfen, Y, Bellerby, RGJ, Bhadury, P, Salisbury, J, Vandemark, D and Sabia, R 2019 Optimum satellite remote sensing of the marine carbonate system using empirical algorithms in the global ocean, the Greater Caribbean, the Amazon Plume and the Bay of Bengal. Remote Sensing of Environment, 235. 111469. https://doi.org/10.1016/j.rse.2019.111469

Liu, X, Steele, C, Simis, SGH, Warren, M, Tyler, A, Spyrakos, E, Selmes, N and Hunter, P 2021 Retrieval of Chlorophyll-a concentration and associated product uncertainty in optically diverse lakes and reservoirs. Remote Sensing of Environment, 267. 112710. https://doi.org/10.1016/j.rse.2021.112710

Liu, X, Warren, M, Selmes, N and Simis, SGH 2024 Quantifying decadal stability of lake reflectance and chlorophyll-a from medium-resolution ocean color sensors. Remote Sensing of Environment, 306. 114120. https://doi.org/10.1016/j.rse.2024.114120

Maeda, EE, Lisboa, F, Kaikkonen, L, Kallio, K, Koponen, S, Brotas, V and Kuikka, S 2019 Temporal patterns of phytoplankton phenology across high latitude lakes unveiled by long-term time series of satellite data. Remote Sensing of Environment, 221. 609-620. https://doi.org/10.1016/j.rse.2018.12.006

Mélin, F, Sclep, G, Jackson, T and Sathyendranath, S 2016 Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets. Remote Sensing of Environment, 177. 107-124. https://doi.org/10.1016/j.rse.2016.02.014

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Mélin, F, Vantrepotte, V, Chuprin, A, Grant, MG, Jackson, T and Sathyendranath, S 2017 Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll- a data. Remote Sensing of Environment, 203. 139-151. https://doi.org/10.1016/j.rse.2017.03.039

Nair, A, Sathyendranath, S, Platt, T, Morales, J, Stuart, V, Forget, M-H, Devred, E and Bouman, H 2008 Remote sensing of phytoplankton functional types. Remote Sensing of Environment, 112 (8. 3366 - 3375. https://doi.org/10.1016/j.rse.2008.01.021

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Nencioli, F and Quartly, GD 2018 Exploring the synergy between along-track altimetry and tracer fronts to reconstruct surface ocean currents. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.04.036

O'Shea, RE, Pahlevan, N, Smith, B, Bresciani, M, Egerton, T, Giardino, C, Li, L, Moore, T, Ruiz-Verdu, A, Ruberg, S, Simis, SGH, Stumpf, R and Vaiciute, D 2021 Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery. Remote Sensing of Environment, 266. 112693. https://doi.org/10.1016/j.rse.2021.112693

Organelli, E, Bricaud, A, Gentili, B, Antoine, D and Vellucci, V 2016 Retrieval of Colored Detrital Matter (CDM) light absorption coefficients in the Mediterranean Sea using field and satellite ocean color radiometry: Evaluation of bio-optical inversion models. Remote Sensing of Environment, 186. 297-310. https://doi.org/10.1016/j.rse.2016.08.028

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Pahlevan, N, Mangin, A, Balasubramanian, SV, Smith, BD, Alikas, K, Arai, K, Barbosa, CCF, Bélanger, S, Binding, CE, Bresciani, M, Giardino, C, Gurlin, D, Fan, Y, Harmel, T, Hunter, P, Ishikaza, J, Kratzer, S, Lehmann, MK, Ligi, M, Ma, R, Martin-Lauzer, FR, Olmanson, L, Oppelt, N, Pan, Y, Peters, S, Reynaud, N, Sander de Carvalho, LA, Simis, SGH, Spyrakos, E, Steinmetz, F, Stelzer, K, Sterckx, S, Tormos, T, Tyler, A, Vanhellemont, Q and Warren, M 2021 ACIX-Aqua: A global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters. Remote Sensing of Environment, 258. 112366. https://doi.org/10.1016/j.rse.2021.112366

Pahlevan, N, Smith, B, Alikas, K, Anstee, J, Barbosa, CCF, Binding, CE, Bresciani, M, Cremella, B, Giardino, C, Gurlin, D, Fernandez, V, Jamet, C, Kangro, K, Lehmann, MK, Loisel, H, Matsushita, B, Hà, N, Olmanson, L, Potvin, G, Simis, SGH, VanderWoude, A, Vantrepotte, V and Ruiz-Verdu, A 2022 Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. Remote Sensing of Environment, 270. 112860. https://doi.org/10.1016/j.rse.2021.112860

Pardo, S, Tilstone, GH, Brewin, RJW, Dall'Olmo, G, Lin, J, Nencioli, F, Evers-King, H, Casal, TGD and Donlon, CJ 2023 Radiometric assessment of OLCI, VIIRS, and MODIS using fiducial reference measurements along the Atlantic Meridional Transect. Remote Sensing of Environment, 299. 113844. https://doi.org/10.1016/j.rse.2023.113844

Passaro, M, Cipollini, P, Vignudelli, S, Quartly, GD and Snaith, HM 2014 ALES: a multi-mission adaptive sub-waveform retracker for coastal and open ocean altimetry. Remote Sensing of Environment, 145. 173-189. https://doi.org/10.1016/j.rse.2014.02.008

Passaro, M, Nadzir, ZA and Quartly, GD 2018 Improving the precision of sea level data from satellite altimetry with high-frequency and regional Sea State Bias corrections. Remote Sensing of Environment, 218. 245-254. https://doi.org/10.1016/j.rse.2018.09.007

Platt, T and Sathyendranath, S 2008 Ecological indicators for the pelagic zone of the ocean from remote sensing. Remote Sensing of Environment, 112(8). 3426 - 3436. https://doi.org/10.1016/j.rse.2007.10.016

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Platt, T, Sathyendranath, S, Forget, M-H, White, GN, Caverhill, C, Bouman, H, Devred, E and Son, S 2008 Operational estimation of primary production at large geographical scales. Remote Sensing of Environment, 112(8). 3437 - 3448. https://doi.org/10.1016/j.rse.2007.11.018

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Qin, P, Simis, SGH and Tilstone, GH 2017 Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC. Remote Sensing of Environment, 200. 263-280. https://doi.org/10.1016/j.rse.2017.08.024

Racault, M-FLP, Raitsos, DE, Berumen, ML, Brewin, RJW, Platt, T, Sathyendranath, S and Hoteit, I 2015 Phytoplankton phenology indices in coral reef ecosystems: Application to ocean-color observations in the Red Sea. Remote Sensing of Environment, 160. 222-234. https://doi.org/10.1016/j.rse.2015.01.019

Racault, M-FLP, Sathyendranath, S and Platt, T 2014 Impact of missing data on the estimation of ecological indicators from satellite ocean-colour time-series. Remote Sensing of Environment, 152. 15-28. https://doi.org/10.1016/j.rse.2014.05.016

Roy, S, Sathyendranath, S, Bouman, H and Platt, T 2013 The global distribution of phytoplankton size spectrum and size classes from their light-absorption spectra derived from satellite data. Remote Sensing of Environment, 139. 185-197. https://doi.org/10.1016/j.rse.2013.08.004

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Salgado-Hernanz, PM, Racault, M-FLP, Font-Muñoz, JS and Basterretxea, G 2019 Trends in phytoplankton phenology in the Mediterranean Sea based on ocean-colour remote sensing. Remote Sensing of Environment, 221. 50-64. https://doi.org/10.1016/j.rse.2018.10.036

Sathyendranath, S, Brewin, RJW, Jackson, T, Mélin, F and Platt, T 2017 Ocean-colour products for climate-change studies: What are their ideal characteristics?. Remote Sensing of Environment, 203. 125-138. https://doi.org/10.1016/j.rse.2017.04.017

Saux Picart, S, Sathyendranath, S, Dowell, M, Moore, T and Platt, T 2014 Remote sensing of assimilation number for marine phytoplankton. Remote Sensing of Environment, 146. 87-96. https://doi.org/10.1016/j.rse.2013.10.032

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Shutler, J, Grant, MG, Miller, PI, Rushton, E and Anderson, K 2010 Coccolithophore bloom detection in the north east Atlantic using SeaWiFS: Algorithm description, application and sensitivity analysis. Remote Sensing of Environment, 114 (5). 1008-1016. https://doi.org/10.1016/j.rse.2009.12.024

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Shutler, J, Land, PE, Smyth, TJ and Groom, SB 2007 Extending the MODIS 1 km ocean colour atmospheric correction to the MODIS 500 m bands and 500 m chlorophyll-a estimation towards coastal and estuarine monitoring. Remote Sensing of Environment. 521 - 532. https://doi.org/10.1016/j.rse.2006.10.004

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Sun, X, Brewin, RJW, Sathyendranath, S, Dall’Olmo, G, Airs, RL, Barlow, RG, Bracher, A, Brotas, V, Kheireddine, M, Lamont, T, Maranon, E, Moran, XAG, Raitsos, DE, Shen, F and Tilstone, GH 2022 Coupling ecological concepts with an ocean-colour model: Phytoplankton size structure. Remote Sensing of Environment, 285. 113415. https://doi.org/10.1016/j.rse.2022.113415

Tilstone, GH, Angel-Benavides, IM, Pradhan, Y, Shutler, J, Groom, SB and Sathyendranath, S 2011 An assessment of chlorophyll-a algorithms available for SeaWiFS in coastal and open areas of the Bay of Bengal and Arabian Sea. Remote Sensing of Environment, 115. 2277 - 2291. https://doi.org/10.1016/j.rse.2011.04.028

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Tilstone, GH, Mallor-hoya, S, Gohin, F, Bel Couto, A, Sa, C, Gloela, P, Cristina, S, Airs, RL, Icely, J, Zuhlke, M and Groom, SB 2017 Which Ocean Colour algorithm for MERIS in NW European coastal waters?. Remote Sensing of Environment, 189. 132-151. https://doi.org/10.1016/j.rse.2016.11.012

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Tilstone, GH, Miller, PI, Brewin, RJW and Priede, IG 2014 Enhancement of primary production in the North Atlantic outside of the spring bloom, identified by remote sensing of ocean colour and temperature. Remote Sensing of Environment, 146. 77-86. https://doi.org/10.1016/j.rse.2013.04.021

Tilstone, GH, Peters, WM, van der Woerd, J, Eleveld, A, Ruddick, KG, Schoenfeld, W, Krasemann, H, Martinez Vicente, V, Blondeau-Patissier, D, Roettgers, R, Sorensen, K, Jorgensen, PV and Shutler, J 2012 Variability in specific-absorption properties and their use in a semi-analytical Ocean Colour Algorithm for MERIS in North Sea and Western English Channel coastal waters.. Remote Sensing of Environment. 320 - 338. https://doi.org/10.1016/j.rse.2011.11.019

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Tilstone, GH, Taylor, BH, Blondeau-Patissier, D, Powell, T, Groom, SB, Rees, AP and Lucas, MI 2015 Comparison of new and primary production models using SeaWiFS data in contrasting hydrographic zones of the northern North Atlantic.. Remote Sensing of Environment, 156. 473-489. https://doi.org/10.1016/j.rse.2014.10.013

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Tilstone, GH, Xie, Y, Robinson, C, Serret, P, Raitsos, DE, Powell, T, Aranguren-Gassis, M, Garcia-Martin, E and Kitidis, V 2015 Satellite estimates of net community production indicate predominance of net autotrophy in the Atlantic Ocean. Remote Sensing of Environment, 164. 254-269. https://doi.org/10.1016/j.rse.2015.03.017

Warren, MA, Simis, SGH, Martinez-Vicente, V, Poser, K, Bresciani, M, Alikas, K, Spyrakos, E, Giardino, C and Ansper, A 2019 Assessment of atmospheric correction algorithms for the Sentinel-2A MultiSpectral Imager over coastal and inland waters. Remote Sensing of Environment, 225. 267-289. https://doi.org/10.1016/j.rse.2019.03.018

Warren, MA, Simis, SGH and Selmes, N 2021 Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll-a and turbidity algorithms. Remote Sensing of Environment, 265. 112651. https://doi.org/10.1016/j.rse.2021.112651

Werther, M, Odermatt, D, Simis, SGH, Gurlin, D, Lehmann, MK, Kutser, T, Gupana, R, Varley, A, Hunter, PD, Tyler, AN and Spyrakos, E 2022 A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes. Remote Sensing of Environment, 283. 113295. https://doi.org/10.1016/j.rse.2022.113295

Xu, W, Miller, PI, Quartly, GD and Pingree, RD 2015 Seasonality and interannual variability of the European Slope Current from 20 years of altimeter data compared with in situ measurements. Remote Sensing of Environment, 162. 196-207. https://doi.org/10.1016/j.rse.2015.02.008

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