Mehmet Kurum

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In this study, a first-order radiative transfer (RT) model is developed to more accurately account for vegetation canopy scattering by modifying the basic τ−ω model (the zeroorder RT solution). In order to optimally utilize microwave radiometric data in soil moisture (SM) retrievals over vegetated landscapes, a quantitative understanding of the relationship(More)
In the radiometric sensing of soil moisture through a forest canopy, knowledge of canopy attenuation is required. Active sensors have the potential of providing this information since the backscatter signals are more sensitive to forest structure. In this paper, a new radar technique is presented for estimating canopy attenuation. The technique employs(More)
EMISSION AND BACKSCATTER DATA Mehmet Kurum*, Peggy E. O’Neill , Roger H. Lang , Alicia T. Joseph , Michael H. Cosh , and Thomas J. Jackson , (1) Hydrological Sciences Branch / Code 614.3 NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA, Mehmet.Kurum@nasa.gov (2) The George Washington University, Dept. of Elect. & Computer Engineering, Washington,(More)
This study reports on the utilization of microwave modeling, together with ground truth, and L-band (1.4-GHz) brightness temperatures to investigate the passive microwave characteristics of a conifer forest floor. The microwave data were acquired over a natural Virginia Pine forest in Maryland by a ground-based microwave active/passive instrument system in(More)
Retrieving soil moisture from microwave brightness temperatures in the presence of vegetation has been the subject of much research in the past. Most microwave soil moisture retrieval algorithms for sensing soil moisture through a vegetation canopy have been developed at L, S and C band microwave frequencies. They have been based on a zero-order solution to(More)
A coherent bistatic vegetation scattering model, based on a Monte Carlo simulation, is being developed to simulate polarimetric bi-static reflectometry at VHF/UHF-bands (240-270 MHz). The model is aimed to assess the value of geostationary satellite signals of opportunity to enable estimation of the Earth’s biomass and root-zone soil moisture. An expression(More)