The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data
for the estimation of soil characteristics (roughness and water content) and cereal vegetation …

Soil moisture is vital for the crop growth and directly affects the crop yield. The conventional
synthetic aperture radar (SAR) based soil moisture monitoring is often influenced by …

Surface soil moisture (SM) retrieval over agricultural areas from polarimetric synthetic
aperture radar (PolSAR) has long been restricted by vegetation attenuation, simplified …

This study investigates and compares the potential of three model-based polarimetric
decompositions, namely those developed by Freeman-Durden (1998), Hajnsek et al.(2009) …

This paper discusses the potential of L-band Advanced Land Observing Satellite-2 (ALOS-2)
and C-band Sentinel-1 radar data for retrieving soil parameters over cereal fields. For this …

Soil moisture is an essential parameter for a better understanding of water processes in the
soil–vegetation–atmosphere continuum. Satellite synthetic aperture radar (SAR) is well …

This study proposes a two-component (surface and volume) C-band polarimetric
decomposition to retrieve soil moisture over agricultural fields covered by different crop …

Reliable near-surface soil moisture (θ) information is crucial for supporting risk assessment
of future water usage, particularly considering the vulnerability of agroforestry systems of …

Biomass has a direct relationship with agricultural production and may help to predict crop
yield. Earth observation technology can contribute significantly to monitoring given the …

In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target
decomposition data by using semiempirical models and machine learning methods. The …