Sensitivity of Depth-Integrated Satellite Lidar to Subaqueous Scattering

Barton, Jonathan S.; Jasinski, Michael F.

doi:10.3390/rs3071492

Cited by 12 publications

(6 citation statements)

References 34 publications

(57 reference statements)

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“…This similarity has motivated several studies into possible ocean subsurface returns. 146,147 However, the range-resolution of this lidar was designed with atmospheric studies in mind. Near the surface, the sample frequency is 5 MHz, which corresponds to a range resolution of 22.5 m in water.…”

Section: Space-based Lidarmentioning

confidence: 99%

Review of profiling oceanographic lidar

Churnside

2013

Opt. Eng

145

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This paper provides a review of the development of profiling oceanographic lidars. These can provide quantitative profiles of the optical properties of the water column to depths of 20 to 30 m in productive coastal waters and to depths of 100 m for a blue lidar in the open ocean. The properties that can be measured include beam attenuation, diffuse attenuation, absorption, volume scattering at the scattering angle of 180 deg, and total backscattering. Lidar can be used to infer the relative vertical distributions of fish, plankton, bubbles, and other scattering particles. Using scattering as a tracer, lidar can provide information on the dynamics of the upper ocean, including mixed-layer depth, internal waves, and turbulence. Information in the polarization of the lidar return has been critical to the success of many of these investigations. Future progress in the field is likely through a better understanding of the variability of the lidar ratio and the application of high-spectral-resolution lidar to the ocean. Somewhat farther into the future, capabilities are likely to include lidar profiling of temperature in the ocean and an oceanographic lidar in space.

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Section: Space-based Lidarmentioning

confidence: 99%

Review of profiling oceanographic lidar

Churnside

2013

Opt. Eng

145

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“…A wind roughened sea surface will have enhanced sun glint as more reflecting facets are created at the sea surface. It therefore depends on sensor geometry, sun position, cloud cover, and wind speed [4]- [7]. Investigations of L WF suggest it can causes a decrease in reflectance as under water cloud air bubbles that are far apart enough increase water absorption in the NIR [8,9], or physical coolness of residual foam [10].…”

Section: Introductionmentioning

confidence: 99%

Methods in reducing surface reflected glint for shipborne above-water remote sensing

Garaba

2013

J. Eur. Opt. Soc.-Rapid Publ.

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Surface reflected glint is a curse for ocean color remote sensing from above-water platforms. In calibrated above-water shipborne radiometry, there are several surface reflected glint correction approaches widely implemented. These approaches were developed using radiative transfer simulations and/or field measurements in different water types, sea states, and cloud conditions. To date no particular surface reflected glint correction approach has been prescribed in ocean optics standard protocols. Without synoptic inherent optical properties to accurately determine apparent optical properties, glint correction is therefore rather qualitative or subjective. There is need to fully take inventory of uncertainties resulting from such differences. We look at different methods that have been implemented in calibrated shipborne radiometry and how surface reflected glint is corrected for using these available approaches. Field measurements are utilized to assess how the correction approaches perform under clear and overcast skies, we also elucidate on aspects for further improvements.

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“…The CALIOP lidar was designed to provide the observations necessary to improve our understanding of the impact of clouds and aerosols on the Earth's radiation budget and climate [ Hunt et al ., ]. In addition, current analyses indicate the potential of CALIOP lidar to quantify global ocean carbon stocks [ Behrenfeld et al ., ] and ocean subsurface backscatter [ Barton and Jasinski , ; Churnside et al ., ; Rodier et al ., ; Shi and Wang , ].…”

Section: Introductionmentioning

confidence: 99%

“…The relative values in these two depth bins were used to argue for vertical mixing of sediments by the cyclone. Barton and Jasinski used the total return integrated from the nominal surface bin through five bins below the surface to estimate total subsurface scattering in Tampa Bay, Florida, which is based on corrections of atmospheric attenuation and surface reflections [ Barton and Jasinski , ]. Rodier et al .…”

Section: Introductionmentioning

confidence: 99%

Ocean subsurface studies with the CALIPSO spaceborne lidar

Trepte

et al. 2014

JGR Oceans

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The primary objective of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission is to study the climate impact of clouds and aerosols in the atmosphere. However, recent studies have demonstrated that CALIPSO also collects information about the ocean subsurface. The objective of this study is to estimate the ocean subsurface backscatter from CALIPSO lidar measurements. The effects of the lidar receiver's transient response on the attenuated backscatter were first removed in order to obtain the correct attenuated backscatter profile. The empirical relationship between sea surface lidar backscatter and wind speed was used to estimate the theoretical ocean surface backscatter. Then the twoway atmospheric transmittance was estimated as the ratio between the corrected ocean surface backscatter and the theoretical one. The ocean subsurface backscatter was finally derived from the subsurface attenuated backscatter divided by the two-way atmospheric transmittance. Significant relationships between integrated subsurface backscatter and chlorophyll-a concentration and between integrated subsurface backscatter and particulate organic carbon were found, which indicate a potential use of CALIPSO lidar to estimate global chlorophyll-a and particulate organic carbon concentrations.

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Sensitivity of Depth-Integrated Satellite Lidar to Subaqueous Scattering

Cited by 12 publications

References 34 publications

Review of profiling oceanographic lidar

Review of profiling oceanographic lidar

Methods in reducing surface reflected glint for shipborne above-water remote sensing

Ocean subsurface studies with the CALIPSO spaceborne lidar

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