Canopy chlorophyll content (CCC) is an important indicator for crop-growth monitoring and
crop productivity estimation. The hybrid method, involving the PROSAIL radiative transfer …

The goal of this work is to assess the impact of polarimetric SAR decompositions for soil
moisture retrieval, and identify the decomposition that performs best for varying vegetation …

A physics-based microwave emission model for layered vegetation (MEMLV) is developed
to simulate the vegetation optical depth (VOD) and scattering albedo of coniferous forests …

This study concerns the effects of considering vertically heterogeneous canopy structure
when modeling microwave scattering from grassland with the Tor Vergata (TVG) model …

Microwave remote sensing offers a powerful tool for monitoring the growth of short, dense
vegetation like soybean. As the plants mature, changes in their biomass and 3-D structure …

This article proposes a closed-form asymptotic solution for the bistatic coherent scattering of
a multilayered rough surface structure based upon its effective dielectric constant (EDC) in …

This paper reports on development of a scattering model of a soybean canopies at L-band.
The scattering model will be used for active and passive remote sensing of soybean plants …

A decomposition and reconstruction theorem (DRT) is introduced to advance computation
and provide physical understanding for the scattering from fractal surfaces (FPs). The profile …

A microwave scattering model is a powerful tool for determining relationships between
vegetation parameters and backscattering characteristics. The crown shape of the …

This study focuses on modelling the scattering albedo of a vegetation canopy, which can be
used in vegetation opacity depth (VOD) retrieval, over a wide frequency range (1-37 GHz). In …