A physically based algorithm is used for automatic processing of MERIS level 1B full resolution data. The algorithm is originally used with input variables for optimization with different sensors (i.e. channel recalibration and weighting), aquatic regions (i.e. specific inherent optical properties) or atmospheric conditions (i.e. aerosol models). For operational use, however, a lake-specific pa...

Medium Spectral Resolution Imaging Spectrometer (MERIS) oxygen A band measurements were used as a proxy for the Earth Polychromatic Imaging Camera (EPIC), to be launched on NASA’s Deep Space Climate Observatory (DSCOVR). The high spatial resolution of MERIS (1 × 1 km) is exploited to study the effects of subscale spatial heterogeneity of clouds on the cloud-top pressure retrieved at the coarser...

The modern global warming trends require permanent monitoring of the atmospheric and underlying surface parameters on a global scale. This can be achieved only using satellite observations (preferably, from a geostationary orbit). One of key parameters to monitor is the snow and ice global cover and also snow/ice albedo. This is due to the fact that snow and ice are highly reflective surfaces a...

This study employed water transparent characteristics from the Gulf and archipelago of Finland and the corresponding data sets of optical sensors at the green wavelength band to estimate Secchi disk depth (SDD). The SDD is one major optical measurement of water transparency in the study area, where the coastal waters are dominated by absorption from both dissolved and particulate organic matter...

a Balaton Limnological Institute, Hungarian Academy of Sciences Centre for Ecological Research, Klebelsberg K. u. 3, Tihany 8237, Hungary b University of Leicester, Centre for Landscape and Climate Research, Bennett Building, University Road, Leicester LE1 7RH, UK c Brockmann Consult, Max-Planck-Str. 2, 21502 Geesthacht, Germany d Biological and Environmental Sciences, School of Natural Science...

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...

A feature extraction method is at the core of most multispectral or hyperspectral processing algorithms aiming at classification, compression, colour representation etc. In this work a comparison between three different feature extraction methods, for the case of MERIS data is carried out. This comparison reveals the different properties and drawbacks of each method.

Giovanni, the NASA Goddard online visualization and analysis tool (http://giovanni.gsfc.nasa.gov) allows users explore various atmospheric phenomena without learning remote sensing data formats and downloading voluminous data. Using NASA MODIS (Terra and Aqua) and ESA MERIS (ENVISAT) aerosol data as an example, we demonstrate Giovanni usage for online multi-sensor remote sensing data comparison...

Multiple comprehensive in situ bio-optical investigations were conducted from 2005 to 2010 and covered a large variability of total suspended matter (TSM) in Lake Taihu to calibrate and validate a TSM concentration estimation model based on Medium Resolution Imaging Spectrometer (MERIS) data. The estimation model of the TSM concentration in Lake Taihu was developed using top-of-atmosphere (TOA)...

We propose a method for classifying radiometric oceanic color data measured by hyperspectral satellite sensors into known spectral classes, irrespective of the downwelling irradiance of the particular day, i.e., the illumination conditions. The focus is not on retrieving the inherent optical properties but to classify the pixels according to the known spectral classes of the reflectances from t...