Add to ORKGIn many coastal and inland waters environment effects hamper the correct retrieval of water quality parameters from remotely sensed imagery. SIMEC (SIMilarity Environment Correction), a new approachfor the correction of adjacency effects is presented in this paper. SIMEC is applied to a MERIS match-up dataset over coastal and inland waters
To acquire marine parameters from remote sensing ocean color data, the sensor-measured signal needs ...
A methodology to quantify the adjacency effects in remotely sensed data from coastal waters is prese...
Biases induced by land perturbations in satellite-derived water-leaving radiance are theoretically e...
Several new satellites such as Sentinel-2, Sentinel-3 and the hyperspectral satellites EnMAP and PRI...
With its relatively high spatial resolution coupled with a revisit time of 5 days Sentinel-2 offers ...
With its high spatial resolution, and suitable spectral bands, Sentinel-2 data can support the imple...
This report describes the validation exercise conducted on MERIS thanks to the MUMM data base. Two c...
Satellite remote sensing data have been used for water quality mapping, but accurate water reflectan...
Un-supervised hyperspectral remote-sensing reflectance data (<15 km from the shore) were collecte...
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been exten...
The detectability of adjacency effects (AE) in ocean color remote sensing by SeaWiFS, MODIS-A, MERIS...
Water-leaving reflectance (ρw) data from the European Space Agency ocean colour sensor Medium Resolu...
This paper describes the validation of MERIS products for Belgian coastal waters for the period 2002...
The accurate retrieval of marine reflectance from remotely sensed data depends on the effective remo...
Optical properties of oceanic waters have provided an important tool for observing large scale fluct...
To acquire marine parameters from remote sensing ocean color data, the sensor-measured signal needs ...
A methodology to quantify the adjacency effects in remotely sensed data from coastal waters is prese...
Biases induced by land perturbations in satellite-derived water-leaving radiance are theoretically e...
Several new satellites such as Sentinel-2, Sentinel-3 and the hyperspectral satellites EnMAP and PRI...
With its relatively high spatial resolution coupled with a revisit time of 5 days Sentinel-2 offers ...
With its high spatial resolution, and suitable spectral bands, Sentinel-2 data can support the imple...
This report describes the validation exercise conducted on MERIS thanks to the MUMM data base. Two c...
Satellite remote sensing data have been used for water quality mapping, but accurate water reflectan...
Un-supervised hyperspectral remote-sensing reflectance data (<15 km from the shore) were collecte...
The standard SeaWiFS atmospheric correction algorithm, designed for open ocean water, has been exten...
The detectability of adjacency effects (AE) in ocean color remote sensing by SeaWiFS, MODIS-A, MERIS...
Water-leaving reflectance (ρw) data from the European Space Agency ocean colour sensor Medium Resolu...
This paper describes the validation of MERIS products for Belgian coastal waters for the period 2002...
The accurate retrieval of marine reflectance from remotely sensed data depends on the effective remo...
Optical properties of oceanic waters have provided an important tool for observing large scale fluct...
To acquire marine parameters from remote sensing ocean color data, the sensor-measured signal needs ...
A methodology to quantify the adjacency effects in remotely sensed data from coastal waters is prese...
Biases induced by land perturbations in satellite-derived water-leaving radiance are theoretically e...