SAR data applications in earth observation: An overview
A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
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 …
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Reviewing the potential of Sentinel-2 in assessing the drought
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 …
drought. Research findings, including the IPCC reports, highlighted the increasing trend in …
Synergic use of Sentinel-1 and Sentinel-2 images for operational soil moisture mapping at high spatial resolution over agricultural areas
Soil moisture mapping 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 …
in hydrology, agriculture and risk assessment. With the arrival of the free Sentinel data at …
Synergetic use of Sentinel-1 and Sentinel-2 data for soil moisture mapping at 100 m resolution
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 …
paradigm for remote sensing applications. In this context, Sentinel-1 radar images have …
[HTML][HTML] Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the …
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …
resource management, carbon accounting, and conservation efforts. This study examines …
Calibration of the water cloud model at C-band for winter crop fields and grasslands
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) …
crop fields from Sentinel-1/2 data (radar and optical sensors), the Water Cloud Model (WCM) …
Soil moisture retrieval over irrigated grassland using X-band SAR data
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 …
from X-band SAR data over irrigated grassland areas. This approach simulates a coupling …
Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2
S Bousbih, M Zribi, C Pelletier, A Gorrab… - Remote Sensing, 2019 - mdpi.com
This paper discusses the combined use of remotely sensed optical and radar data for the
estimation and mapping of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …
estimation and mapping of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …
Soil moisture content estimation based on Sentinel-1 and auxiliary earth observation products. A hydrological approach
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 …
estimating topsoil Soil Moisture Content (SMC) to support hydrological simulation studies is …
Sentinel-1 data for winter wheat phenology monitoring and mapping
The ability of Synthetic Aperture Radar (SAR) Sentinel-1 data to detect the main wheat
phenological phases was investigated in the Bekaa plain of Lebanon. Accordingly, the …
phenological phases was investigated in the Bekaa plain of Lebanon. Accordingly, the …