A methodology to quantify the adjacency effects in remotely sensed data from coastal waters is presented. Specifically, the dependence of the adjacency effects due to changes in the land-ocean reflectance is decoupled from the dependencies of satellite data on measurement geometry and atmosphere. A set of realistic test cases for typical SeaWiFS observation conditions is proposed to simulate the adjacency effects along a transect in the North Adriatic Sea embracing the Aqua Alta Oceanographic Tower, (AAOT, 45.31N, 12.51E), used for satellite ocean color calibration and validation activities. A 3D backward MonteCarlo code and the Finite Elements Method (FEM) plane-parallel highly accurate radiative transfer code are used.JRC.DG.G.4-Maritime...
Satellite measurements of coastal or inland waters near land/water interfaces suffer from land adjac...
With its high spatial resolution, and suitable spectral bands, Sentinel-2 data can support the imple...
International audienceIn this paper a semi-automatic adjoint approach for variational data inversion...
A methodology has been developed and applied to accurately quantify and analyze adjacency effects in...
Biases induced by land perturbations in satellite-derived water-leaving radiance are theoretically e...
The detectability of adjacency effects (AE) in ocean color remote sensing by SeaWiFS, MODIS-A, MERIS...
Un-supervised hyperspectral remote-sensing reflectance data (<15 km from the shore) were collecte...
Satellite remote sensing data have been used for water quality mapping, but accurate water reflectan...
The minimization of adjacency effects (AE) in SeaWiFS primary products at the Aqua Alta Oceanographi...
The presented adjacency correction algorithm is based on the use of the point spread function (PSF),...
Atmospheric correction (AC) is the basis for quantitative water remote sensing, and adjacency effect...
Several new satellites such as Sentinel-2, Sentinel-3 and the hyperspectral satellites EnMAP and PRI...
A remote-sensing reflectance model based on a lookup table is proposed for use in analyzing satellit...
Ocean color measurements taken near cloud boundaries suffer from cloud adjacency effects (AEs). As a...
International audienceThe estimation of the bathymetry and the detection of targets located on the s...
Satellite measurements of coastal or inland waters near land/water interfaces suffer from land adjac...
With its high spatial resolution, and suitable spectral bands, Sentinel-2 data can support the imple...
International audienceIn this paper a semi-automatic adjoint approach for variational data inversion...
A methodology has been developed and applied to accurately quantify and analyze adjacency effects in...
Biases induced by land perturbations in satellite-derived water-leaving radiance are theoretically e...
The detectability of adjacency effects (AE) in ocean color remote sensing by SeaWiFS, MODIS-A, MERIS...
Un-supervised hyperspectral remote-sensing reflectance data (<15 km from the shore) were collecte...
Satellite remote sensing data have been used for water quality mapping, but accurate water reflectan...
The minimization of adjacency effects (AE) in SeaWiFS primary products at the Aqua Alta Oceanographi...
The presented adjacency correction algorithm is based on the use of the point spread function (PSF),...
Atmospheric correction (AC) is the basis for quantitative water remote sensing, and adjacency effect...
Several new satellites such as Sentinel-2, Sentinel-3 and the hyperspectral satellites EnMAP and PRI...
A remote-sensing reflectance model based on a lookup table is proposed for use in analyzing satellit...
Ocean color measurements taken near cloud boundaries suffer from cloud adjacency effects (AEs). As a...
International audienceThe estimation of the bathymetry and the detection of targets located on the s...
Satellite measurements of coastal or inland waters near land/water interfaces suffer from land adjac...
With its high spatial resolution, and suitable spectral bands, Sentinel-2 data can support the imple...
International audienceIn this paper a semi-automatic adjoint approach for variational data inversion...