Status of atmospheric correction using a MODTRAN4-based algorithm

Matthew, Michael W.; Adler‐Golden, Steven M.; Berk, Alexander; Richtsmeier, Steven C.; Levine, Robert Y.; Bernstein, Lawrence S.; Acharya, Prabhat K.; Anderson, Gail P.; Felde, Gerald W.; Hoke, Michael L.; Ratkowski, Anthony J.; Burke, Hsiao-hua K.; Kaiser, Robert D.; Miller, David P.

doi:10.1117/12.410341

Cited by 218 publications

(108 citation statements)

References 15 publications

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“…The best results were obtained for the moderately turbid waters of Type B. This can be explained by several reasons: (i) a large error is induced by atmospheric correction in cloud-shadowed (Matthew et al, 2000) and hazy regions which prevail offshore the Berau estuary; (ii) relatively large errors are induced by model parameterization and inversion in turbid waters; (iii) an error can be induced by model parameterization and inversion in clear water areas affected by bottom reflectance. The relative contribution of these different error components to the total uncertainty in derived IOP was estimated for the same model as used in this study and MERIS sensor to be about 46-50% for atmosphere correction, 40-45% for model parameterization-inversion, and 5-13% for sensor noise (Salama & Stein, 2009).…”

Section: Colored Dissolved Organic Matter (Cdom)mentioning

confidence: 82%

Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia

et al. 2010

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Specific inherent optical properties (SIOP) of the Berau coastal waters were derived from in situ measurements and inversion of an ocean color model. Field measurements of water-leaving reflectance, total suspended matter (TSM), and chlorophyll a (Chl a) concentrations were carried out during the 2007 dry season. The highest values for SIOP were found in the turbid waters, decreasing in value when moving toward offshore waters. The specific backscattering coefficient of TSM varied by an order of magnitude and ranged from 0.003 m 2 g -1 , for clear open ocean waters, to 0.020 m 2 g -1 , for turbid waters. On the other hand, the specific absorption coefficient of Chl a was relatively constant over the whole study area and ranged from 0.022 m 2 mg -1 , for the turbid shallow estuary waters, to 0.027 m 2 mg -1 , for deeper shelf edge ocean waters. The spectral slope of colored dissolved organic matter light absorption was also derived with values ranging from 0.015 to 0.011 nm -1 . These original derived values of SIOP in the Berau estuary form a corner stone for future estimation of TSM and Chl a concentration from remote sensing data in tropical equatorial waters.

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Section: Colored Dissolved Organic Matter (Cdom)mentioning

confidence: 82%

Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia

et al. 2010

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“…Other Landsat and SPOT images were atmospherically corrected and converted into surface reflectance with the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH, Matthew et al, 2000) method using ENVI 5.1. For coherence within the time series, the same FLAASH parameters (US atmospheric model, 40 km initial visibility, maritime aerosol model) were applied.…”

Section: Data Processing 231 Satellite Data Processingmentioning

confidence: 99%

Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

et al. 2018

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Abstract. Satellite remote sensing (RS) is routinely used for the large-scale monitoring of microphytobenthos (MPB) biomass in intertidal mudflats and has greatly improved our knowledge of MPB spatio-temporal variability and its potential drivers. Processes operating on smaller scales however, such as the impact of benthic macrofauna on MPB development, to date remain underinvestigated. In this study, we analysed the influence of wild Crassostrea gigas oyster reefs on MPB biofilm development using multispectral RS. A 30-year time series combining high-resolution (30 m) Landsat and SPOT data was built in order to explore the relationship between C. gigas reefs and MPB spatial distribution and seasonal dynamics, using the normalized difference vegetation index (NDVI). Emphasis was placed on the analysis of a before-after control-impact (BACI) experiment designed to assess the effect of oyster killing on the surrounding MPB biofilms. Our RS data reveal that the presence of oyster reefs positively affects MPB biofilm development. Analysis of the historical time series first showed the presence of persistent, highly concentrated MPB patches around oyster reefs. This observation was supported by the BACI experiment which showed that killing the oysters (while leaving the physical reef structure, i.e. oyster shells, intact) negatively affected both MPB biofilm biomass and spatial stability around the reef. As such, our results are consistent with the hypothesis of nutrient input as an explanation for the MPB growth-promoting effect of oysters, whereby organic and inorganic matter released through oyster excretion and biodeposition stimulates MPB biomass accumulation.MPB also showed marked seasonal variations in biomass and patch shape, size and degree of aggregation around the oyster reefs. Seasonal variations in biomass, with higher NDVI during spring and autumn, were consistent with those observed on broader scales in other European mudflats. Our study provides the first multi-sensor RS satellite evidence of the promoting and structuring effect of oyster reefs on MPB biofilms.

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“…Atmospheric correction was carried out using the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) method [56]. The FLAASH model corrects wavelengths in the visible-mid infrared spectra and it includes an updated MODTRAN4 radiation transfer module [57]. The FLAASH atmospheric correction used the average height at each of the study sites within each image, and day visibility values derived from the nearest meteorological station (airport of Bogotá El Dorado, about 30 km distance from the plots) as inputs.…”

Section: Data Pre-processingmentioning

confidence: 99%

Estimating Aboveground Biomass and Carbon Stocks in Periurban Andean Secondary Forests Using Very High Resolution Imagery

Clerici

Rubiano

Abd-Elrahman

et al. 2016

Forests

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Periurban forests are key to offsetting anthropogenic carbon emissions, but they are under constant threat from urbanization. In particular, secondary Neotropical forest types in Andean periurban areas have a high potential to store carbon, but are currently poorly characterized. To address this lack of information, we developed a method to estimate periurban aboveground biomass (AGB)-a proxy for multiple ecosystem services-of secondary Andean forests near Bogotá, Colombia, based on very high resolution (VHR) GeoEye-1, Pleiades-1A imagery and field-measured plot data. Specifically, we tested a series of different pre-processing workflows to derive six vegetation indices that were regressed against in situ estimates of AGB. Overall, the coupling of linear models and the Ratio Vegetation Index produced the most satisfactory results. Atmospheric and topographic correction proved to be key in improving model fit, especially in high aerosol and rugged terrain such as the Andes. Methods and findings provide baseline AGB and carbon stock information for little studied periurban Andean secondary forests. The methodological approach can also be used for integrating limited forest monitoring plot AGB data with very high resolution imagery for cost-effective modelling of ecosystem service provision from forests, monitoring reforestation and forest cover change, and for carbon offset assessments.

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Status of atmospheric correction using a MODTRAN4-based algorithm

Cited by 218 publications

References 15 publications

Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia

Estimating specific inherent optical properties of tropical coastal waters using bio-optical model inversion and in situ measurements: case of the Berau estuary, East Kalimantan, Indonesia

Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

Estimating Aboveground Biomass and Carbon Stocks in Periurban Andean Secondary Forests Using Very High Resolution Imagery

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