Add to ORKGThe analysis of Jet Propulsion Laboratory (JPL) Airborne Synthetic Aperture Radar (AIRSAR) data over the Landes forest in South-West France revealed strong correlation between L- and especially P-band sigma degrees and the pine forest biomass. To explain the physical link of radar backscatter to biomass, a polarimetric backscattering model was developed and validated. Then the model was used in a simulation study to predict sigma degree sensitivity to undesired canopy and environmental parameters. Main results concerning the data analysis, modeling, and simulation at P-band are reported
Forests and their associated habitats are an integral part of Earth\u27s biosphere and provide essen...
In recent years several analytical models were developed to predict microwave scattering by trees an...
At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecos...
As part of research on forest ecosystems, the Jet Propulsion Laboratory (JPL) and collaborating rese...
During the last several years, significant efforts in microwave remote sensing were devoted to relat...
In previous studies, P-band synthetic aperture radar (SAR) has shown potential for biomass retrieval...
A study was conducted to evaluate using synthetic aperture radar (SAR) for estimating aboveground bi...
There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite...
Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestri...
Environmental conditions and seasonal variations affect the backscattered radar signal from a forest...
P-band backscatter from boreal forest is simulated using a fully polarimetric Cylinder-Over-Ground m...
Airborne SAR data gathered by the NASA/JPL three-frequency, polarimetric, radar system in winter, sp...
To evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantif...
Estimation of forest aboveground biomass (AGB) has become one of the main challenges of remote sensi...
To evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantif...
Forests and their associated habitats are an integral part of Earth\u27s biosphere and provide essen...
In recent years several analytical models were developed to predict microwave scattering by trees an...
At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecos...
As part of research on forest ecosystems, the Jet Propulsion Laboratory (JPL) and collaborating rese...
During the last several years, significant efforts in microwave remote sensing were devoted to relat...
In previous studies, P-band synthetic aperture radar (SAR) has shown potential for biomass retrieval...
A study was conducted to evaluate using synthetic aperture radar (SAR) for estimating aboveground bi...
There is an urgent need to quantify anthropogenic influence on forest carbon stocks. Using satellite...
Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestri...
Environmental conditions and seasonal variations affect the backscattered radar signal from a forest...
P-band backscatter from boreal forest is simulated using a fully polarimetric Cylinder-Over-Ground m...
Airborne SAR data gathered by the NASA/JPL three-frequency, polarimetric, radar system in winter, sp...
To evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantif...
Estimation of forest aboveground biomass (AGB) has become one of the main challenges of remote sensi...
To evaluate the use of multi-frequency, polarimetric Synthetic Aperture Radar (SAR) data for quantif...
Forests and their associated habitats are an integral part of Earth\u27s biosphere and provide essen...
In recent years several analytical models were developed to predict microwave scattering by trees an...
At present, the greatest source of uncertainty in the global carbon cycle is in the terrestrial ecos...