Atmospheric correction algorithm over coastal and inland waters based on the red and NIR bands: application to Landsat-8/OLI and VNREDSat-1/NAOMI observations
نویسندگان
چکیده
منابع مشابه
Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters.
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been extended for use over turbid coastal and inland waters. Failure of the standard algorithm over turbid waters can be attributed to invalid assumptions of zero water-leaving radiance for the near-infrared bands at 765 and 865 nm. In the present study these assumptions are replaced by the assumptions of ...
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A variety of models have been developed for estimating chlorophyll-a (Chl-a) concentration in turbid and productive waters. All are based on optical information in a few spectral bands in the red and near-infra-red regions of the electromagnetic spectrum. The wavelength locations in the models used were meticulously tuned to provide the highest sensitivity to the presence of Chl-a and minimal s...
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Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands.
Remote sensing algorithms that use red and NIR bands for the estimation of chlorophyll-a concentration [Chl] can be more effective in inland and coastal waters than algorithms that use blue and green bands. We tested such two-band and three-band red-NIR algorithms using comprehensive synthetic data sets of reflectance spectra and inherent optical properties related to various water parameters a...
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As part of an ongoing investigation of primary productivity in Mono Lake, a series of surveys were conducted at the lake coincident with AVIRIS acquisitions. These included sampling and spectroradiometric measurements with locations precisely georeferenced to AVIRIS pixel coordinates. Spectra were extracted from the AVIRIS images for the purpose of deriving predictive equations for calculation ...
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ژورنال
عنوان ژورنال: Optics Express
سال: 2019
ISSN: 1094-4087
DOI: 10.1364/oe.27.031676