Abstract
A quasi-analytical algorithm (QAA)-based distribution and variability of particulate backscattering coefficient (b bp) was studied for Kerala coast, India. A total of 28 observations were made in the coastal stretch of about 410 km from Kasaragod to Ernakulam for up to 50 m depth. Optical data were collected using a hyperspectral underwater radiometer to evaluate the b bp, water-leaving radiance (L w) and chlorophyll-a (Chl-a) concentration. We aimed to achieve three objectives, i.e. (1) QAA-based b bp calculation using underwater radiometer and its sensitivity to downwelling irradiance (Ed) and surface radiance (Es), (2) validation of the relationship between b bp and Chl-a concentration for inshore and offshore coastal waters and (3) the relationship of L w with QAA-based b bp and in situ Chl-a. We observed that the range of b bp values varied between 0.07 and 0.002 m−1, with a maximum b bp value between 1200 and 1400 h for inshore waters. Ed and Es are independent variables and were placed at the denominator to calculate b bp, where Ed is found relatively more sensitive than Es. The correlation between b bp and Chl-a found growing with depth (< 20 m R 2: 0.067, > 20 m R 2: 0.487), due to the increasing complexity of coastal waters (Case II). While relating the Chl-a and b bp with Lw, showed a poor corleation with a low R 2 value of 0.229 and 0.203, respectively, signifying the maximum scattering due to other suspended matters with less contribution from Chl-a pigment in highly turbid coastal waters.
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References
Boss E, Stramski D, Bergmann T, Pegau WS, Lewis M (2004) Why should we measure the optical backscattering coefficient? Oceanography 17:44–49
Claustre H, Bishop J, Boss E, Bernard S, Berthon JF, Coatanoan C, Johnson K, Lotiker A, Ulloa A, Perry MJ, D’Ortenzio F, D’andon OHF, Uitz J (2010) Bio-optical profiling floats as new observational tools for biogeochemical and ecosystem studies- Proceedings of oceanObs’09: sustained ocean observations and information for society (Vol. 2), Venice, Italy
Deidun A, Drago A, Gauci A, Galea A, Azzopardi J, Mélin F (2011) A first attempt at testing correlation between MODIS Ocean colour data and in situ chlorophyll-a measurements within Maltese coastal waters. Proc of SPIE 8175:1–8
Dickey TD (2003) Emerging ocean observations for interdisciplinary data assimilation systems. J Mar Syst, 40– 41C, 5–48
Gordon HR, Morel A (1983) Remote assessment of ocean color for interpretation of satellite visible imagery: a review (eds: Barber RT, Mooers CNK, Bowman MJ, Zeitzschel B). Springer, New York
Gordon HR, Brown OB, Evans RH, Brown JW, Smith RC, Baker KS, Clarks DK (1988) A semianalytic radiance model of ocean color. J Geophys Res 93:10909–10924
Graff JR, Westberry TK, Milligan AJ, Brown MB, Dall’Olmo G, van Dongen-Vogels V, Reifel KM, Behrenfeld MJ (2015) Analytical phytoplankton carbon measurements spanning diverse ecosystems. Deep-Sea Res Pt I 102:16–25
Hu C, Feng L, Lee ZP (2013) Uncertainties of SeaWiFS and MODIS remote sensing reflectance: implications from clear water measurements. Remote Sens Environ 133:168–182
Kostadinov TS, Siegel DA, Maritorena S (2010) Global variability of phytoplankton functional types from space: assessment via the particle size distribution. Biogeosciences 7:3239–3257
Latha TP, Nagamani PV, Rao BS, Amarendra K, Rao KH, Choudhury SB, Dash SK (2013) Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions. Geosci Remote Sens Lett 10(6):1517–1521
Lee ZP, Hu C (2006) Global distribution of case-1 waters: an analysis from SeaWiFS measurements. Remote Sens Environ 101:270–276
Lee ZP, Carder KL, Peacock TG, Davis CO, Mueller JL (1996) Method to derive ocean absorption coefficients from remote-sensing reflectance. Appl Opt 35(3):453–462
Lee ZP, Carder KL, Arnone R (2002) Deriving inherent optical properties from water color: a multi-band quasi-analytical algorithm for optically deep waters. Appl Opt 41:5755–5772
Lee ZP, Carder KL, Mobley CD, Steward RG, Patch JS (1999) Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization. Appl Opt 38:3831–3843
Li S, Song K, Mu G, Zhao Y, Ma J, Ren J (2016) Evaluation of the quasi-analytical algorithm (QAA) for estimating Total absorption coefficient of turbid inland waters in Northeast China. Appl Earth Observ Remote Sens 9(9):4022–4036
Loisel H, Meriare X, Berthan, Poteau A (2007) Investigation of the optical back scattering ratio of marine particles in relation to their biogeochemical composition in the eastern English Channel and southern North Sea. Limnol Oceanogr 52(2):739–752
Morel A (1988) Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters). J Geophys Res 93:10749–10768
Morel A, Maritorena S (2001) Bio-optical properties of oceanic waters: a reappraisal. J Geophys Res 106:7163–7180
Nechad, B., Dogliotti, A., Ruddick, K., Doxaran, D. (2016) Particulate backscattering and suspended matter concentration retrieval from remote-sensed turbidity in various coastal and riverine turbid waters. In: Proceedings of ESA living planet symposium, Prague, 9–13 May 2016, ESA-SP 740
Riser SC, Johnson KS (2008) Net production of oxygen in the subtropical ocean. Nature 451(7176):323–325
Seo H, Xie SP, Murtugudde R, Jochum M, Miller AJ (2009) Seasonal effects of Indian Ocean freshwater forcing in a regional coupled model. J Clim 22:6577–6596
Smith RC, Baker KS (1981) Optical properties of the clearest natural waters. Appl Opt 20:177–184
Stramski D, Boss E, Bogucki D, Voss KJ (2004) The role of seawater constituents in light backscattering in the ocean. Prog Oceanogr 61:27–56
Whitmire AL, Boss E, Cowles TJ, Pegau WS (2007) Spectral variability of the particulate backscattering ratio. Opt Express 15(11):7022
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The authors are thankful to Project Director of ICMAM in facilitating the work.
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Matin, S., Dash, S.K., Usha, T. (2019). A Semi-analytical Approach to Understand Remote Sensing-based Backscattering Characteristics for Kerala Coast Using In Situ Observation. In: Kumar, P., Rani, M., Chandra Pandey , P., Sajjad, H., Chaudhary, B. (eds) Applications and Challenges of Geospatial Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-99882-4_4
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