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Merging SeaWiFS and MODIS/Aqua ocean color data in North and equatorial Atlantic using weighted averaging and objective analysis
- IEEE T. Geosci. Remote
"... Abstract-Two approaches of ocean color data merging were tested and compared in the North and Equatorial Atlantic Basin: the weighted averaging and the objective analysis. The datasets used were the daily level-3 binned data of chlorophylJ-a from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) a ..."
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Cited by 7 (0 self)
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Abstract-Two approaches of ocean color data merging were tested and compared in the North and Equatorial Atlantic Basin: the weighted averaging and the objective analysis. The datasets used were the daily level-3 binned data of chlorophylJ-a from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS
European Atlantic Shelf
, 2009
"... Abstract—In this paper, we define the method that is used to merge high-resolution multisensor chlorophyll-a (chl-a) data on the Ireland–Biscay–Iberia Regional Ocean Observing System area from 1998 to the present at a resolution of 1.1 km. The method is based on geostatistics and is known as kriging ..."
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Abstract—In this paper, we define the method that is used to merge high-resolution multisensor chlorophyll-a (chl-a) data on the Ireland–Biscay–Iberia Regional Ocean Observing System area from 1998 to the present at a resolution of 1.1 km. The method is based on geostatistics and is known
Planning Algorithms
, 2004
"... This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning ..."
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Cited by 1108 (51 self)
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This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning
Temporal variability of 10-year global SeaWiFS time-series of phytoplankton chlorophyll a concentration
- ICES Journal of Marine Science
, 2009
"... phytoplankton chlorophyll a concentration ..."
Detection of Florida “red tides ” from SeaWiFS and MODIS imagery
"... Abstract: Central west Florida shelf (CWFS) has a nearly annual occurrence of “red tides”. Two current operating ocean color sensors (SeaWiFS and MODIS) were used to identify a bloom of the toxic dinoflagellate Karenia brevis during August 2001. Chlorophyll concentrations alone cannot be used to dis ..."
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Abstract: Central west Florida shelf (CWFS) has a nearly annual occurrence of “red tides”. Two current operating ocean color sensors (SeaWiFS and MODIS) were used to identify a bloom of the toxic dinoflagellate Karenia brevis during August 2001. Chlorophyll concentrations alone cannot be used
An Approach to Developing Numeric Water Quality Criteria for Coastal Waters Using the SeaWiFS Satellite Data Record
"... ABSTRACT: Human activities on land increase nutrient loads to coastal waters, which can increase phytoplankton production and biomass and associated ecological impacts. Numeric nutrient water quality standards are needed to protect coastal waters from eutrophication impacts. The Environmental Protec ..."
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waters have not been monitored comprehensively via field sampling to support numeric criteria development. However, satellite remote sensing had the potential to provide adequate data. Spatial and temporal measures of SeaWiFS OC4 chlorophyll-a (ChlRS-a, mg m
Improving Assimilation of SeaWiFS Data by the Application of Bias Correction with a Local SEIK Filter
, 2007
"... Ocean-biogeochemical models show typically significant errors in the representation of chlorophyll concentrations. The model state can be improved by the assimilation of satellite chlorophyll data with algorithms based on the Kalman filter. However, these algorithms do usually not account for the po ..."
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estimation, the daily surface chlorophyll estimates from the assimilation show about 3.3 % lower error than SeaWiFS data. In contrast, the error in the global surface chlorophyll estimate without bias estimation is 10.9 % larger than the error of SeaWiFS data.
Results 1 - 10
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28,287