A Bayesian approach for estimating vertical chlorophyll profiles from satellite remote sensing: proof-of-concept
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Astrid Jarre | John G. Field | Anet Potgieter | J. G. Field | F. A. Shillington | Robert I Williamson | F. Shillington | A. Jarre | A. Potgieter | Robert Williamson | Anet Potgieter
[1] Trevor Platt,et al. Estimators of primary production for interpretation of remotely sensed data on ocean color , 1993 .
[2] John J. Cullen,et al. Biological processes and optical measurements near the sea surface: Some issues relevant to remote sensing , 1995 .
[3] Pragya Agarwal,et al. Self-Organising Maps , 2008 .
[4] A. Morel,et al. Surface pigments, algal biomass profiles, and potential production of the euphotic layer: Relationships reinvestigated in view of remote‐sensing applications , 1989 .
[5] A. Longhurst. Seasonal cycles of pelagic production and consumption , 1995 .
[6] T. Platt,et al. Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales , 1988, Science.
[7] B. Hewitson,et al. Self-organizing maps: applications to synoptic climatology , 2002 .
[8] T. Platt,et al. Ocean primary production and available light: further algorithms for remote sensing , 1988 .
[9] A. Richardson,et al. Ocean climate of the South East Atlantic observed from satellite data and wind models , 2003 .
[10] Kevin P. Murphy,et al. Bayesian structure learning using dynamic programming and MCMC , 2007, UAI.
[11] John J. Cullen,et al. The deep chlorophyll maximum comparing vertical profiles of chlorophyll a , 1982 .
[12] P. Cury,et al. 8 Resource and ecosystem variability, including regime shifts, in the Benguela Current System , 2006 .
[13] F. Shillington,et al. A dynamic quantitative approach for predicting the shape of phytoplankton profiles in the ocean [review article] , 2003 .
[14] Janet W. Campbell,et al. Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance , 2002 .
[15] J. Waddington,et al. Cutover peatlands: A persistent source of atmospheric CO2 , 2002 .
[16] P. Cury,et al. 11 Developing a basis for detecting and predicting long-term ecosystem changes , 2006 .
[17] J. G. Field,et al. Generalised model of primary production in the southern Benguela upwelling system , 2008 .
[18] P. Falkowski,et al. Photosynthetic rates derived from satellite‐based chlorophyll concentration , 1997 .
[19] Timothy R. Parsons,et al. A manual of chemical and biological methods for seawater analysis , 1984 .
[20] Hervé Demarcq,et al. Climatology and Variability of Sea Surface Temperature and Surface Chlorophyll in the Benguela and Agulhas Ecosystems As Observed by Satellite Imagery , 2003 .
[21] H. Roquet,et al. Evaluation of high-resolution surface wind products at global and regional scales , 2009 .
[22] T. Piatt,et al. Ocean primary production calculated by spectral and broad-band models , 1992 .
[23] David Heckerman,et al. Bayesian Networks for Data Mining , 2004, Data Mining and Knowledge Discovery.
[24] Louis Legendre,et al. Chlorophyll a to estimate the particulate organic carbon available as food to large zooplankton in the euphotic zone of oceans , 1999 .
[25] L. Shannon. Benguela : predicting a large marine ecosystem , 2006 .
[26] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[27] S. J. Painting,et al. Estimates of phytoplankton and bacterial biomass and production in the northern and southern Benguela ecosystems , 1991 .
[28] Anthony J. Richardson,et al. Identification and classification of vertical chlorophyll patterns in the Benguela upwelling system and Angola-Benguela front using an artificial neural network , 2001 .
[29] D. Antoine,et al. Oceanic primary production: 2. Estimation at global scale from satellite (Coastal Zone Color Scanner) chlorophyll , 1996 .
[30] M. Carr. Estimation of potential productivity in Eastern Boundary Currents using remote sensing , 2001 .
[31] John G. Field,et al. Identifying characteristic chlorophyll a profiles in the coastal domain using an artificial neural network , 2002 .
[32] Huai-Min Zhang,et al. Assessment of composite global sampling: Sea surface wind speed , 2006 .