MODIS-derived spatiotemporal water clarity patterns in optically shallow Florida Keys waters: A new approach to remove bottom contamination

Barnes, Brian B.; Hu, Chuanmin; Schaeffer, Blake A.; Lee, Zhongping; Palandro, David; Lehrter, John C.

doi:10.1016/j.rse.2013.03.016

Cited by 68 publications

(47 citation statements)

References 61 publications

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“…Reflectance data from both sensors were used to derive Kd data products including the standard kd_lee (Lee et al, 2005;Lee et al, 2009) and a modification of the kd_lee algorithm validated for optically shallow water applications (Barnes et al, 2013). The entire time series of SeaWiFS and MODIS Level-2 ocean color data within the bounds of 24° to 31°N, 78° to 98°W were acquired from NASA Goddard Space Flight Center.…”

Section: Satellite Data Processing and Kd Climatologymentioning

confidence: 99%

“…In combination, these constituents influence absorption and scattering of light with depth and the overall light regime available for plants and animals. In both optically deep and shallow waters, satellites have proven useful for capturing changes in water clarity over fairly short time scales (Barnes et al, 2013;Barnes and Hu, 2015;Hu et al, 2014;Palandro et al, 2004). Barnes et al (2013) used high resolution Kd imagery and optimized algorithms from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua to characterize spatiotemporal water clarity patterns and variability in the optically shallow waters of the Florida Keys.…”

Section: Introductionmentioning

confidence: 99%

“…In both optically deep and shallow waters, satellites have proven useful for capturing changes in water clarity over fairly short time scales (Barnes et al, 2013;Barnes and Hu, 2015;Hu et al, 2014;Palandro et al, 2004). Barnes et al (2013) used high resolution Kd imagery and optimized algorithms from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua to characterize spatiotemporal water clarity patterns and variability in the optically shallow waters of the Florida Keys. While Barnes et al (2013) generally found low variability in water clarity for the Florida Reef Tract, strong variations in clarity can occur elsewhere throughout the region and throughout the year.…”

Section: Introductionmentioning

confidence: 99%

“…Barnes et al (2013) used high resolution Kd imagery and optimized algorithms from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) on the satellite Aqua to characterize spatiotemporal water clarity patterns and variability in the optically shallow waters of the Florida Keys. While Barnes et al (2013) generally found low variability in water clarity for the Florida Reef Tract, strong variations in clarity can occur elsewhere throughout the region and throughout the year. In terms of the accuracy of satellite-based Kd data, Barnes and Hu (2015) made a comparison of Kd estimates across three sensors: Sea-viewing Wide Fieldof-view Sensor (SeaWiFS); MODIS, and Visible Infrared Imager Radiometer Suite (VIIRS) sensors; and found strong agreement in retrievals for most of the South Florida region.…”

Section: Introductionmentioning

confidence: 99%

“…Excessive rainfall/discharge events in combination with seasonal and abrupt storm and cold front passage can force sediment and particle resuspension, alter CDOM and nutrient delivery into the coastal zone and trigger changes in the water column constituents that impact clarity (Hu et al, 2006;Hu et al, 2003;Hu et al, 2004;Le et al, 2013;Lohrenz et al, 1999;Ransibrahmanakul and Stumpf, 2002;Barnes et al, 2013;Lee et al, 2002). Excessive and widespread phytoplankton blooms and ''black water'' events contribute substantially to changes in water column constituents (Hu et al, 2003;Hu et al, 2004;Hu et al, 2006;Conmy et al, 2009;Neely et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

Pirhalla¹,

Sheridan²,

Lee³

et al. 2017

Satell Oceanogr Meteorol

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Temporal variability in water clarity for South Florida’s marine ecosystems was examined through satellite-derived light attenuation (Kd) coefficients, in the context of wind- and weather patterns. Reduced water clarity along Florida’s coasts is often the result of abrupt wind-resuspension events and other exogenous factors linked to frontal passage, storms, and precipitation. Kd data between 1998 and 2013 were synthesized to form a normalized Kd index (KDI) and subsequently compared with Self Organizing Map (SOM)-based wind field categorizations to reveal spatiotemporal patterns and their inter-relationships. Kd climatological maximums occur from October through December along southern sections of the West Florida Shelf (WFS) and from January through March along the Florida Straits. Spatial clusters of elevated Kd occur along 3 spatial domains: central WFS, southern WFS, and Florida Straits near the Florida Reef Tract, where intra-seasonal variability is the highest, and clarity patterns are associated with transitional wind patterns sequenced with cyclonic circulation. Temporal wind transitions from southerly to northerly, typically accompanying frontal passages, most often result in elevated Kd response. Results demonstrate the potential of using synoptic climatological analysis and satellite indices for tracking variability in water clarity and other indicators related to biological health.

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Section: Satellite Data Processing and Kd Climatologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

Pirhalla¹,

Sheridan²,

Lee³

et al. 2017

Satell Oceanogr Meteorol

Self Cite

View full text Add to dashboard Cite

show abstract

A semianalytical ocean color inversion algorithm with explicit water column depth and substrate reflectance parameterization

et al. 2015

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A semianalytical ocean color inversion algorithm was developed for improving retrievals of inherent optical properties (IOPs) in optically shallow waters. In clear, geometrically shallow waters, light reflected off the seafloor can contribute to the water-leaving radiance signal. This can have a confounding effect on ocean color algorithms developed for optically deep waters, leading to an overestimation of IOPs. The algorithm described here, the Shallow Water Inversion Model (SWIM), uses pre-existing knowledge of bathymetry and benthic substrate brightness to account for optically shallow effects. SWIM was incorporated into the NASA Ocean Biology Processing Group's L2GEN code and tested in waters of the Great Barrier Reef, Australia, using the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua time series (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013). SWIM-derived values of the total non-water absorption coefficient at 443 nm, a t (443), the particulate backscattering coefficient at 443 nm, b bp (443), and the diffuse attenuation coefficient at 488 nm, K d (488), were compared with values derived using the Generalized Inherent Optical Properties algorithm (GIOP) and the Quasi-Analytical Algorithm (QAA). The results indicated that in clear, optically shallow waters SWIM-derived values of a t (443), b bp (443), and K d (443) were realistically lower than values derived using GIOP and QAA, in agreement with radiative transfer modeling. This signified that the benthic reflectance correction was performing as expected. However, in more optically complex waters, SWIM had difficulty converging to a solution, a likely consequence of internal IOP parameterizations. Whilst a comprehensive study of the SWIM algorithm's behavior was conducted, further work is needed to validate the algorithm using in situ data.

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Acute effects of back-to-back hurricanes on the underwater light regime of a coral reef

Edmunds

Tsounis

Boulon³

et al. 2019

Mar Biol

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MODIS-derived spatiotemporal water clarity patterns in optically shallow Florida Keys waters: A new approach to remove bottom contamination

Cited by 68 publications

References 61 publications

Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

Water clarity patterns in South Florida coastal waters and their linkages to synoptic-scale wind forcing

A semianalytical ocean color inversion algorithm with explicit water column depth and substrate reflectance parameterization

Acute effects of back-to-back hurricanes on the underwater light regime of a coral reef

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