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The removal of atmospheric components, a key factor that controls all subsequent image processing, is usually dealt through statistical or physical models. However, noise components may not be comple...
Nowadays the use of hyperspectral imagery specifically automatic target detection algorithms for these images is a relatively exciting area of research.An important challenge of hyperspectral target ...
Satellite data acquired in short time intervals like Terra,NOAA,…are very suitable in order to map vegetations in the scale of regional. In addition, because of being free of charge ,these data are...
The inference of the radiative forcing of soot and dust in snow has taken on importance in recent years because of the realization of the climate effects that they have (Hansen and Nazarenko, 2004). ...
Dry grassland sites are amongst the most species rich habitats of Central Europe. In Switzerland, they are home to a large number of plant and animal species that are classified as endangered or thre...
The Carbo Europe Regional Experiment Strategy (CERES), conducted between May and June 2005, aims to determine a spatially resolved regional balance of carbon dioxide fluxes using different methodolog...
Spatial patterns of vegetation species abundance is required for flora conservation strategies of natural areas. Hyperspectral imagery is an increasingly relevant tool for vegetation mapping although...
Studies that compare modelled reflectances with satellite-measured reflectances for different wavelengths and view angles are still rare. We compared model outputs from three different canopy reflect...
Multispectral and hyperspectral thermal sensors can use spectral emissivities for mapping surface elements that show wavelength emission differences (typically minerals). The Airborne Hyperspectral S...
The linear spectral mixing model is a widely used technique in remote sensing to estimate the fractions of several individual surface components present in an image pixel and the pure reflectance spe...
Biogeochemical processes in plants, such as photosynthesis, evaporation and net primary production, are directly related to foliar water. Therefore, canopy water content is important for the understa...
Monitoring of mine waste on sulphide deposits through remote sensing hyperspectral data contributes to predict surface water quality estimating quantitatively acid drainage and metal contamination on...
Hyperspectral-multidirectional radiance observations of the land surface from space potentially form one of the richest sources of geobiophysical information possible. For soil-vegetation objects, th...
USER-DRIVEN REQUIREMENTS OF THE EUROPEAN HYPERSPECTRAL REMOTE SENSING COMMUNITY.
The discrete Anisotropic Radiative Transfer (DART) model, coupled with an adjusted version of the PROSPECT model, was used to retrieve total chlorophyll content (Cab) of a complex Norway spruce (Pice...

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