Engineering topics
Publications and source records attributed to Moghaddam, M..
Near-simultaneous AIRSAR and Landsat TM data are used, along with radar scattering models and optical regression-based models, to estimate vegetation variables for a mixed old-growth dense forest in the US Pacific Northwest.
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Radar and optical remote sensing data are used to develop a classification algorithm based on nonlinear estimation theory.
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In this paper, we report on the use of a semi-empirical algorithm derived from a two layer radar backscatter model for forest canopies.
Characterization of boreal forests in ecosystem models requires temporal and spatial distributions of water content and biomass over local and regional scales. In this paper, we report on the use of a semi-empirical algorithm for deriving these parameters from polarimetric synthetic aperture radar measurements.
The addition of interferometric backscattering pairs to the conventional polarimetric synthetic aperture radar (SAR) data over forests and other vegetated areas increases the dimensionality of the data space, in principle enabling the estimation of a larger number of parameters.
Radiometers operating in the 1-3 GHz frequency range have been studied as a means for observing ocean salinity and soil moisture globally from space.
The subcanopy soil moisture of a boreal old jack pine forest is estimated using polarimetric L- and P-band AIRSAR data. Model simulations have shown that for this stand, the principal scattering mechanism responsible for radar backscatter is the double-bounce mechanism between the tree trunks and the ground.
In this paper, interferometry will mean the acquisition and cross-correlation of complex signals at two different ends of a baseline, but with the same receive and transmit polarization at each end.
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A concept is described for passive microwave sensing of soil moisture and ocean salinity from space. The Inflatable Radiometric Imaging System (IRIS) makes use of a large-diameter, offset-fed, parabolic-torus antenna with multiple feeds, in a conical pushbroom configuration.
Several scattering mechanisms contribute to the total radar backscatter cross section measured by the synthetic aperture radar. These are volume scattering, trunk-ground double-bounce scattering, branch-ground double-bounce scattering, and surface scattering. All of these mechanisms are directly related to the dielectric constant of forest components responsible for that mechanism and their moisture.
To understand and predict the functioning of forest biomes, their interaction with the atmosphere, and their growth rates, the knowledge of moisture content of their canopy and the floor soil is essential. The synthetic aperture radar on airborne and spaceborne platforms has proven to be a flexible tool for measuring electromagnetic back- scattering properties of vegetation related to their moisture content.