Antoine, D., Andre, J. M., and Morel, A. 1996. Oceanic primary production: 2. Estimation at global scale from satellite (CZCS) chlorophyll. Global biogeochemical Cycles, 10, 57-70.
Barbini, R., Colal, F., Fantoni, R., Fiorani, L., Okladnikov, I. G., and Palucci, A. 2005. Comparison of SeaWiFS, MODIS-Terra, and MODIS-Aqua in the Southern Ocean. International Journal of Remote Sensing, 26(11), 2471−2478.
Brewin, R.J.W., Raitsos, D.E., Pradhan, Y., and Hoteit, I. 2013. Comparison of chlorophyll in the Red Sea derived from MODIS-Aqua and in vivo fluorescence. Remote Sens. Environ., 136, 218–224.
Campbell, J. W. 1995. The lognormal distribution as a model for bio-optical variability in the sea. Journal of Geophysical Research, 100, 13237−13254.
Chen, Z., Huiping, X., and Andrew, M. F. 2016. Chlorophyll-a Estimation Around the Antarctica Peninsula Using Satellite Algorithms: Hints from Field Water Leaving Reflectance. Sensors, 16, 2075; doi:10.3390/s16122075.
Chen, Z., Tao, Z., Andrew, M. F, and Huiping, X. 2017. Fluorescence-Based Approach to Estimate the Chlorophyll-A Concentration of a Phytoplankton Bloom in Ardley Cove (Antarctica). Remote Sens., 9, 210; doi:10.3390/rs9030210
Clark, D. K. 1981. Phytoplankton pigment algorithms for the Nimbus-7 CZCS. In J. F. R. Gower (Ed.), Oceanography from space (pp. 227 – 237). New York’ Plenum Press.
Claustre, H., Antoine, D., Boehme, L., Boss, E., D’Ortenzio, F., Fanton D’Andon, O., Guinet, C., Gruber, N., Handegard, N. O., Hood, M., Johnson, K., Lampitt, R., LeTraon, P.-Y., Leque´re´, C., Lewis, M., Perry, M.-J., Platt, T., Roemmich, D., Testor, P., Sathyendranath, S., Send, U., and Yoder, J. 201). Guidelines Towardss an Integrated Ocean Observation System for Ecosystems and Biogeochemical Cycles, in: Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Vol.2), Venice, Italy, 21–25 September 2009, edited by Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306, doi:10.5270/OceanObs09.pp.14, 2010.
Dierssen, H.M., and Smith, R.C. 2000. Bio-optical properties and remote sensing ocean color algorithms for Antarctic Peninsula waters. J. Geophys. Res. 2000, 105, 26301–26312.
Esaias, W. E., Abbott, M. R., Barton, I., Brown, O. B., Campbell, J. W., and Carder, K. L. 1998. An overview of MODIS capabilities for ocean science observations. IEEE Transactions on Geoscience and Remote Sensing, 36, 1250 – 1265.
Friedrichs, M.A., Carr, M.E., Barber, R.T., Scardi, M., Antoine, D., Armstrong, R.A., Asanuma, I., Behrenfeld, M.J., Buitenhuis, E.T., and Chai, F. 2009. Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean. J. Mar. Syst. 2009, 76, 113–133.
Gabric, A. J., Shephard, J. M., Knight, J. M. Jones, G., and Trevena, A.J. 2005. Correlations between the satellite-derived seasonal cycles of phytoplankton biomass and aerosol optical depth in the Southern Ocean: Evidence for the influence of sea ice. Glob. Biogeochem. Cycles 2005, 19, GB4018.
Garcia, C. A. E., Garcia, V. M. T., and McClain, C. R. 2005. Evaluation of SeaWiFS chlorophyll algorithms in the Southwestern Atlantic and Southern Oceans. Remote Sensing of Environment, 95, 125 – 137.
Gohin, F., Druon, J. N., and Lampert, L. 2002. A five-channell chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. International Journal of Remote Sensing, 23, 1639 – 1661.
Gregg, W.W., and Casey, N.W. 2004. Global and regional evaluation of the SeaWiFS chlorophyll-a data set. Remote Sens. Environ. 2004, 93, 463–479.
Gregg, W. W., and Conkright, M. 2001. Global seasonal climatologies of ocean chlorophyll: Blending in situ and satellite data for the Coastal Zone Color Scanner era, J. Geophy. Res.-Oceans, 106, 2499–2515, 2001.
Lavigne, H., D’Ortenzio, F., Claustre, H., and Poteau, A. 2012. Towards a merged satellite and in situ fluorescence ocean chlorophyll product. Biogeosciences, 9, 2111–2125, 2012. doi:10.5194/bg-9-2111-2012.
Hattab, T., Jamet, C., Sammari, C., and Lahbib, S. 2013. Validation of chlorophyll-α concentration maps from AquaMODIS over the Gulf of Gabes (Tunisia): Comparison between MedOC3 and OC3M bio-optical algorithms. Int. J. Remote Sens. 2013, 34, 7136-7177.
Holm-Hansen, O., Lorenzen, C. J., Holmes, R. W., and Strickland, J. D. H. 1965. Fluorometric Determination of Chlorophyll, Ices J. Mar. Sci., 30, 3–15, doi:10.1093/icesjms/30.1.3, 1965.
Hooker, S.B., Esaias, W.E., Feldman, G.C., Greg, W.W., and McClain, C.R. 1992. An overview of SeaWiFS and ocean color. NASA Tech. Memo., vol. 104566.
Hooker, S. B., Van Heukelem, L., Thomas, C. S., Claustre, H., Ras, J., Schulter, L., Clementson, L., Van der Linde, L., Eker-Develi, E., Berthon J.-F., Barlow, R., Sessions, H., Ismail, H., and Perl, J. 2009. The third SeaWiFS HPLC Analysis Round-Robin Experiment (SeaHARRE-3), NASA technical Memorandum 2009-215849, Greenbelt: NASA Goddard Space Flight Center, 2009.
IOCCG. 2000. Remote sensing of ocean colour in coastal, and other optically-complex waters. In S. Sathyendranath (Ed.), Reports of the International Ocean-Colour Coordinating Group, No. 3, IOCCG, Dartmouth, Canada (140pp.).
Johnson, R., Strutton, P.G., Write, S.W., McMinn, A. and Meiners, K.M. 2013. Three improved satellite chlorophyll algorithms for the Southern Ocean. J. Geophys. Res. 2013, 118, 3694-3703.
Banse, K., and D. C. English. 2000. “Geographical differences in seasonality of CZCS-derived phytoplankton pigment in the Arabian Sea for 1978–1986,” Deep-Sea Research Part II, vol. 47, no. 7-8, pp. 1623–1677, 2000.
Korb, R. E., Whitehouse, M. J., and Ward, P. 2004. SeaWiFS in the Southern Ocean: Spatial and temporal variability in phytoplankton biomass around South Georgia. Deep-Sea Research, 51, 99−116.
Kumar, S.P., and Prasad, T.G. 1996. Winter cooling in the northern Arabian Sea. Current Science, Vol. 71, No, 11. pp. 834-841.
Kwok, R., and Comiso, J.C. 2002. Spatial Patterns of Variability in Antarctic Surface Temperature: Connections to the Southern Hemisphere Annular Mode and the Southern Oscillation. Geophys. Res. Lett. 2002, 29, 1705.
Lorenzen, C. J. 1967. Determination of Chlorophyll and Pheo-Pigments: Spectrophotometric Equations, Limnol. Oceanogr., 12, 343–346, 1967.
Mantoura, R. F. C., and Llewellyn, C. A. 1983. The rapid determination of algal chlorophyll and carotenoid pigments and their breakdown products in natural waters by reverse-phase high- performance liquid chromatography, Anal. Chim. Acta, 151, 297–314, doi:10.1016/S0003-2670(00)80092-6, 1983.
Marina, M., Chuanmin, H., and Kendra D. 2006. Validation of SeaWiFS chlorophyll a concentrations in the Southern Ocean: A revisit. Remote Sensing of Environment 105 (2006) 367 – 375.
Maritorena, S., Siegel, D. A., and Peterson, A. R. 2002. Optimization of a semianalytical ocean color model for global-scale applications. Applied Optics, 41, 2705 – 2714.
Marrari, M., Hu, C., and Daly, K. 2006. Validation of SeaWiFS chlorophyll-a a concentrations in the Southern Ocean: A revisit. Remote Sens. Environ. 2006, 105, 367–375.
McClain, C. R., Cleave, M. L., Feldman, G. C., Gregg, W. W., and Hooker, S. B. 1998. Science quality SeaWiFS data for global biosphere research. Sea Technology, 39, 10 – 15.
McClain, C., Cleave, M., Feldman, G., Gregg, W., Hooker, S., and Kuring, N. 1998. Science quality SeaWiFS data for global biosphere research, Sea Technol., 39, 10–16, 1998.
Moore, T. S., Campbell, J. W., and Dowell, M. D. 2009. A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product, Remote Sens. Environ., 113, 2424–2430, doi:10.1016/j.rse.2009.07.016, 2009.
Morel, A., and Prieur, L. 1977. Analysis of variations in ocean color. Limnology and Oceanography, 22, 709 – 722.
Noora, Al-Naimi., Dionysios, E., Raitsos, R. B. H., and Yousria, S. 2017. Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sens. 2017, 9, 301; doi:10.3390/rs9030301.
O'Reilly, J. E., Maritorena, S., O'Brien, M. C., Siegel, D. A., Toole, D., and Menzies, D. 2000. SeaWiFS postlaunch calibration and validation analyses: Part 3. SeaWiFS postlaunch technical report series, 11. In S. B. Hooker, & E. R. Firestone (Eds.), NASA Technical Memorandum 2000-206892 49 pp.
Platt, T., Caverhill, C., and Sathyendranath, S. 1991. Basin-scale estimates of oceanic primary production by remote sensing: The North Atlantic. Journal of Geophysical Research, 96, 15147 – 15159.
Prasad, K. S., and Haedrich, R. L. 1994. Satellite-derived primary production estimates from the Grand Banks: Comparison to other ocean regimes. Continental Shelf Research, 14(15), 1677−1687.
Raman, M. 2013. Estimating primary production in the Arabian Sea using satellite derived data. Ph.D. Thesis. Mangalore University. p. 1-223.
Rast, M., and Be´zy, J. L. 1995. The ESA Medium Resolution Imaging Spectrometer (MERIS): Requirements to its mission and performance of its system. In P. J. Curran and, & Y. C. Robertson (Eds.), RSS95, Remote Sensing in Action, Proceedings of the 21st Annual Conference of the Remote Sensing Society University of Southampton, UK, 11 – 14 September 1995 (pp. 125 – 132). Oxfordshire’ Taylor and Francis.
Kahru, M., Raphael, M. K., Clarissa R. A., Manzano-Sarabia, M., and Mitchell, B. G. 2014. Evaluation of Satellite Retrievals of ocean chlorophyll-a in the California current. Remote Sens., 2014, 6, 8524–8540.
Bailey, S.W., and Werdell, P.J., 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment 102 (2006) 12–23
Sarmiento, J. L., Slater, R., Barber, R., Bopp, L., Doney, S. C., and Hirst, A. C. 2004. Response of ocean ecosystems to climate warming. Global Biogeochemistry Cycles, 18, G3003. doi:10.1029/2003GB002134.
Shang, S.L., Dong, Q., Hu, C.M., Lin, G., Li, Y.H., and Shang, S.P. 2014. On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea. Biogeosciences, 2014, 11.
Swallow, J.C. (1984) Some Aspects of the Physical Oceanography of the Indian Ocean. Deep-Sea Research, 31, 639-650.
Latha, T. P., Nagamani, P. V., Rao, B. S., Amarendra, P., Rao, K. H., Choudhury, S. B., Dash, S. K., and Sarma, V. V. S. S. 2013. Particle Backscattering Variability in the Coastal Waters of Bay of Bengal: A Case Study Along Off Kakinada and Yanam Regions. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 10, NO. 6, NOVEMBER 2013.
Tanii, J., Machida, T., Ayada, H., Katsuyama, Y., Ishida, J., and Iwasaki, N. 1991. Ocean Color and Temperature Scanner (OCTS) for ADEOS. In P. N. Slater (Ed.), Future European and Japanese Remote-Sensing Sensors and Programs: Proceedings of the Meeting, Orlando, Fla, April 1, 2, 1991. Proceedings SPIE, vol. 1490 (pp. 200 – 206). Bellingham’ The Society of Photo-Optical Instrumentation Engineers.
Tilstone, G.H., Lotliker, A.A., Miller, P.I., Ashraf, P.M., Kumar, T.S., Suresh, T., and Menon, H.B. 2013. Assessment of MODIS-Aqua chlorophyll-a algorithms in coastal and shelf waters of the eastern Arabian Sea. Cont. Shelf Res. 2013, 65.
Tomlinson, M. C., Stumpf, R. P., Ransibrahmanakul, V., Truby, E. W., Kirkpatrick, G. J., Pederson, B. A., et al. 2004. Evaluation of the use of SeaWiFS imagery for detecting Karenia brevis harmful algal blooms in the eastern Gulf of Mexico. Remote Sensing of Environment, 91, 293 – 303.
Vase, V. K., Dash, G., Sreenath, K. R., Shailendra, R., Mohammed, K. K., Divu, D., Dash, S., Pradhan, R. K., Sukhdhane, K. S., and Jayasankar, J. 2018. Spatio-temporal variability of physico-chemical variables, chlorophyll a, and primary productivity in the northern Arabian Sea along India coast (2018). Environmental Monitoring and Assessment 190:148.
Werdell J.P., Bailey S., Fargion G., Pietras C., Knobelspiesse K., Feldman G, and McClain C., 2003. Unique data repository facilitates ocean colour satellite validation. Eos, vol, 84, No. 38, 23 September 2003, pages 377-392.
Werdell, P. J., and Bailey, S. W. 2005. An improved bio-optical data set for ocean color algorithm development and satellite data product validation. Remote sensing of Environment. 98, 122-140.
Zhang, C., Hu, C., Shang, S., Müller-Karger, F. E., Li, Y., and Dai, M. 2006. Bridging between SeaWiFS and MODIS for continuity of chlorophyll a concentration assessments off southeastern China. Remote Sensing of Environment, 102, 250−263.