In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …

This paper systematically reviews the potential of the Sentinel-2 (A and B) in assessing
drought. Research findings, including the IPCC reports, highlighted the increasing trend in …

Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

Soil moisture map** at a high spatial resolution is very important for several applications
in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at …

The recent deployment of ESA's Sentinel operational satellites has established a new
paradigm for remote sensing applications. In this context, Sentinel-1 radar images have …

In a perspective to develop an inversion approach for estimating surface soil moisture of
crop fields from Sentinel-1/2 data (radar and optical sensors), the Water Cloud Model (WCM) …

The aim of this study was to develop an inversion approach to estimate surface soil moisture
from X-band SAR data over irrigated grassland areas. This approach simulates a coupling …

This paper discusses the combined use of remotely sensed optical and radar data for the
estimation and map** of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …

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 …

A methodology for elaborating multi-temporal Sentinel-1 and Landsat 8 satellite images for
estimating topsoil Soil Moisture Content (SMC) to support hydrological simulation studies is …