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Since the Coastal Zone Color Scanner (CZCS)/Nimbus-7 was launched in 1978, a variety of studies have been conducted to retrieve ocean color variables from multi-satellites. Several algorithms and formulations have been suggested for estimating ocean color variables based on multi band data at different wavelengths. Chlorophyll-a (chl-a) concentration is one of the most important variables to understand low-level ecosystem in the ocean. To retrieve chl-a concentrations from the satellite observations, an appropriate algorithm depending on water properties is required for each satellite sensor. Most operational empirical algorithms in the global ocean have been developed based on the band-ratio approach, which has the disadvantage of being more adapted to the open ocean than to coastal areas. Alternative algorithms, including the semi-analytical approach, may complement the limits of band-ratio algorithms. As more sensors are planned by various space agencies to monitor the ocean surface, it is expected that continuous monitoring of oceanic ecosystems and environments should be conducted to contribute to the understanding of the oceanic biosphere and the impact of climate change. This study presents an overview of the past and present algorithms for the estimation of chl-a concentration based on multi-satellite data and also presents the prospects for ongoing and upcoming ocean color satellites.
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참고문헌 (99)
참고문헌 신청
Aiken, J. / 1995 / The SeaWiFS CZCS-type pigment algorithm / NASA Goddard Space Flight Center :34
Aiken, J. / 1992 / Remote sensing of oceanic biology in relation to global climate change / Journal of Phycology 28:579~590
Babin, S. M. / 2007 / Satellite evidence of hurricane-induced phytoplankton blooms in an oceanic desert / Journal of GeophysicalResearch 109:C03043
Blondeau-Patissier, D. / 2014 / A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans / Progress in Oceanography 123:123~144
Boucher, J. / 2018 / Assessing the effectiveness of Landsat 8 chlorophyll a retrieval algorithms for regional freshwater monitoring / Ecological applications 28(4):1044~1054
Aiken, J. / 1992 / Remote sensing of oceanic biology in relation to global climate change / Journal of Phycology 28:579~590
Babin, S. M. / 2007 / Satellite evidence of hurricane-induced phytoplankton blooms in an oceanic desert / Journal of GeophysicalResearch 109:C03043
Blondeau-Patissier, D. / 2014 / A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans / Progress in Oceanography 123:123~144
Boucher, J. / 2018 / Assessing the effectiveness of Landsat 8 chlorophyll a retrieval algorithms for regional freshwater monitoring / Ecological applications 28(4):1044~1054
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