This review addresses the potential of image-based remote sensing to provide spatially and
temporally distributed information for precision crop management (PCM). PCM is an …

Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric
conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the …

The Integral Equation Model (IEM) was previously used in conjunction with an inversion
model to retrieve soil moisture using multifrequency and multipolarization data from …

The use of synthetic aperture radar (SAR) data is presently well established in operational
services for flood management. Nevertheless, detecting inundated vegetation and urban …

The feasibility of using optical remote sensing for crop monitoring has been widely studied
over the past three decades. Considering the advantages offered with longer microwave …

In this paper we reviewed the use of microwave remote sensing methods for characterizing
crop canopies and vegetation water stress related phenomena. Our analysis includes both …

This paper discusses the effects of vegetation on C-(4.75 GHz) and L-(1.6 GHz) band
backscattering (σo) measured throughout a growth cycle at incidence angles of 15, 35 and …

This paper presents a microwave/optical synergistic methodology to retrieve soil moisture in
an alpine prairie. The methodology adequately represents the scattering behavior of the …

A comprehensive multilayer second-order radiative transfer model, driven entirely by
intensive field observations, is used to show that second order terms contribute at most 0.5 …

A method is proposed to estimate both green leaf area index (GLAI) and soil moisture (h/sub
v/), based on radar measurements at the Ku-band (14.85 GHz) and C-band (5.35 GHz) …