Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Gao, Bo‐Cai; Montes, Marcos J.; Ahmad, Ziauddin; Davis, Curtiss O.

doi:10.1364/ao.39.000887

Cited by 212 publications

(145 citation statements)

References 22 publications

Supporting

Mentioning

138

Contrasting

Order By: Relevance

“…The majority of the signal reaching a space-borne sensor is actually from sunlight scattered within the atmosphere and reflection off the sea surface that must be removed through the process of "atmospheric correction." Uncertainties in HICO radiometric calibrations prevent the retrieval of aerosol models and optical depths from HICO data on a pixel-by-pixel basis using the ocean version of the atmospheric correction algorithm (36). Instead, a land version is used (37) in the present processing of the HICO imagery.…”

Section: Methodsmentioning

confidence: 99%

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Dierssen

McManus

Chlus

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

Mesodinium rubrum is a globally distributed nontoxic ciliate that is known to produce intense red-colored blooms using enslaved chloroplasts from its algal prey. Although frequent enough to have been observed by Darwin, blooms of M. rubrum are notoriously difficult to quantify because M. rubrum can aggregate into massive clouds of rusty-red water in a very short time due to its high growth rates and rapid swimming behavior and can disaggregate just as quickly by vertical or horizontal dispersion. A September 2012 hyperspectral image from the Hyperspectral Imager for the Coastal Ocean sensor aboard the International Space Station captured a dense red tide of M. rubrum (10 6 cells per liter) in surface waters of western Long Island Sound. Genetic data confirmed the identity of the chloroplast as a cryptophyte that was actively photosynthesizing. Microscopy indicated extremely high abundance of its yellow fluorescing signature pigment phycoerythrin. Spectral absorption and fluorescence features were related to ancillary photosynthetic pigments unique to this organism that cannot be observed with traditional satellites. Cell abundance was estimated at a resolution of 100 m using an algorithm based on the distinctive yellow fluorescence of phycoerythrin. Future development of hyperspectral satellites will allow for better enumeration of bloomforming coastal plankton, the associated physical mechanisms, and contributions to marine productivity.

show abstract

Section: Methodsmentioning

confidence: 99%

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Dierssen

McManus

Chlus

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hyperspectral and fine spectral resolution multispectral sensors allow for the quantitative analysis of spectral features of the canopy biophysical variables (e.g., biomass, water, nitrogen and chlorophyll content, and photosynthesis pigment activity) to be carried out [42][43][44]. The main limitation is that these sensors are usually configured for just one specific index and therefore flexibility to calculate other indices is limited.…”

Section: Radiometric and Spectral Resolutionmentioning

confidence: 99%

Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies

Balzarolo

Anderson

Nichol

et al. 2011

Sensors

View full text Add to dashboard Cite

This paper reviews the currently available optical sensors, their limitations and opportunities for deployment at Eddy Covariance (EC) sites in Europe. This review is based on the results obtained from an online survey designed and disseminated by the Co-cooperation in Science and Technology (COST) Action ESO903-"Spectral Sampling Tools for Vegetation Biophysical Parameters and Flux Measurements in Europe" that provided a complete view on spectral sampling activities carried out within the different research teams in European countries. The results have highlighted that a wide variety of Sensors 2011, 11 7956 optical sensors are in use at flux sites across Europe, and responses further demonstrated that users were not always fully aware of the key issues underpinning repeatability and the reproducibility of their spectral measurements. The key findings of this survey point towards the need for greater awareness of the need for standardisation and development of a common protocol of optical sampling at the European EC sites.

show abstract

“…In this context, many authors (IOCCG, 2010;Gao et al, 2000) demonstrated the crucial role of the aerosol in atmospheric radiative transfer modelling and, consequently, on the accuracy of the results of mainly large-scale atmospheric correction of multi-and hyperspectral remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters

et al. 2015

View full text Add to dashboard Cite

Abstract.Hyperspectral imaging provides quantitative remote sensing of ocean colour by the high spectral resolution of the water features. The HICO ™ (Hyperspectral Imager for the Coastal Ocean) is suitable for coastal studies and monitoring. The accurate retrieval of hyperspectral waterleaving reflectance from HICO ™ data is still a challenge. The aim of this work is to retrieve the water-leaving reflectance from HICO ™ data with a physically based algorithm, using the local microphysical properties of the aerosol in order to overcome the limitations of the standard aerosol types commonly used in atmospheric correction processing. The water-leaving reflectance was obtained using the HICO@CRI (HICO ATmospherically Corrected Reflectance Imagery) atmospheric correction algorithm by adapting the vector version of the Second Simulation of a Satellite Signal in the Solar Spectrum (6SV) radiative transfer code. The HICO@CRI algorithm was applied on to six HICO ™ images acquired in the northern Mediterranean basin, using the microphysical properties measured by the Acqua Alta Oceanographic Tower (AAOT) AERONET site. The HICO@CRI results obtained with AERONET products were validated with in situ measurements showing an accuracy expressed by r 2 = 0.98. Additional runs of HICO@CRI on the six images were performed using maritime, continental and urban standard aerosol types to perform the accuracy assessment when standard aerosol types implemented in 6SV are used. The results highlight that the microphysical properties of the aerosol improve the accuracy of the atmospheric correction compared to standard aerosol types. The normalized root mean square (NRMSE) and the similar spectral value (SSV) of the water-leaving reflectance show reduced accuracy in atmospheric correction results when there is an increase in aerosol loading. This is mainly when the standard aerosol type used is characterized with different optical properties compared to the local aerosol. The results suggest that if a water quality analysis is needed the microphysical properties of the aerosol need to be taken into consideration in the atmospheric correction of hyperspectral data over coastal environments, because aerosols influence the accuracy of the retrieved water-leaving reflectance.

show abstract

Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space

Cited by 212 publications

References 22 publications

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Space station image captures a red tide ciliate bloom at high spectral and spatial resolution

Ground-Based Optical Measurements at European Flux Sites: A Review of Methods, Instruments and Current Controversies

The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters

Contact Info

Product

Resources

About