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Every winter the Indo-Gangetic plains (IGP) of northern India are severely impacted both socially and economically by fog. For night time fog detection, visible imagery cannot be used. Also, as emissi...
Leaf area index (LAI) is a key variable for the understanding and modelling of several eco-physiological processes within a vegetation canopy. The LAI could thus provide vital information for the man...
Modeling of the radiation regime of a mixture of vegetation species is a fundamental problem of the Earth’s land remote sensing and climate applications. The major existing approaches, including the ...
In the past, obtaining reliable measurements of key forest canopy metrics has been difficult, even after the development of remote sensing technology.Fortunately, next-generation lidar systems are pro...
The MYSTIC three-dimensional Monte-Carlo radiative transfer model has been extended to simulate solar and thermal irradiances with a rigorous consideration of topography. Forward as well as backward M...
Three-dimensional models of seagrass canopies were constructed by treating leaves as flexible strips that fall under their own weight into naturalistic canopy structures. Canopy structures incorporate...
Presented here are comparisons between the Infrared Atmospheric Sounding instrument (IASI) and the "Line-By-Line Radiative Transfer Model" (LBLRTM). Spectral residuals from radiance closure studies du...
IASI measurements of spectral radiances made between the 1st April 2008 and the 15th April 2008 are compared with simulations performed using the RTTOV fast radiative transfer model utilizing regressi...
A method for estimation of forest parameters, species, tree shape, distance between canopies by means of Monte-Carlo based radiative transfer model with forestry surface model is proposed. The model i...
A new multiple-scattering Monte Carlo 3-D radiative transfer model named McSCIA (Monte Carlo for SCIAmachy) is presented. The backward technique is used to efficiently simulate narrow field of view in...

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