© 2018 Elsevier Inc. Understanding the scattering mechanisms from the ground surface in the presence of different vegetation densities is necessary for the interpretation of P-band Synthetic Aperture Radar (SAR) observations and for the design of geophysical retrieval algorithms. In this study, a quantitative analysis of vegetation and soil scattering mechanisms estimated from the observations of an airborne P-band SAR instrument across nine different biomes in North America is presented. The goal is to apply a hybrid (model- and eigen-based) three component decomposition approach to separate the contributions of surface, double-bounce and vegetation volume scattering across a wide range of biome conditions. The decomposition makes no prior...
The knowledge of spatial and temporal variability of soil water content and others soil-vegetation v...
This paper concerns vegetation parameter retrieval from polarimetric interferometric SAR (PolInSAR) ...
Soil moisture content (SMC) is a significant factor affecting crop growth and development. However, ...
International audienceThis study aims to understand the effects of the topographic slope variation o...
A P-band SAR moisture estimation method is introduced for complex soil permittivity and penetration ...
Abstract—In this paper, the potential of using polarimetric SAR (PolSAR) acquisitions for the estima...
A P-band SAR moisture estimation method is introduced for complex soil permittivity and penetration ...
Radarsat-2 imagery from extreme dry versus wet conditions are compared in an effort to determine the...
Soil conditions under vegetation cover and their spatial and temporal variations from point to catch...
This paper presents results of electromagnetic polarimetric scattering modelling of wheat canopies b...
Polarimetric target decomposition enables the interpretation of radar images more easily, mostly bas...
Soil moisture is a key hydrological variable with great influence on various processes of land-atmos...
Soil moisture and wet biomass changes between two non-instantaneous SAR observations markedly affect...
Near-future L-band fully polarimetric Synthetic Aperture Radar (SAR) missions will provide meaningfu...
Soil moisture content represents a key observable in order to model, describe and predict many ecolo...
The knowledge of spatial and temporal variability of soil water content and others soil-vegetation v...
This paper concerns vegetation parameter retrieval from polarimetric interferometric SAR (PolInSAR) ...
Soil moisture content (SMC) is a significant factor affecting crop growth and development. However, ...
International audienceThis study aims to understand the effects of the topographic slope variation o...
A P-band SAR moisture estimation method is introduced for complex soil permittivity and penetration ...
Abstract—In this paper, the potential of using polarimetric SAR (PolSAR) acquisitions for the estima...
A P-band SAR moisture estimation method is introduced for complex soil permittivity and penetration ...
Radarsat-2 imagery from extreme dry versus wet conditions are compared in an effort to determine the...
Soil conditions under vegetation cover and their spatial and temporal variations from point to catch...
This paper presents results of electromagnetic polarimetric scattering modelling of wheat canopies b...
Polarimetric target decomposition enables the interpretation of radar images more easily, mostly bas...
Soil moisture is a key hydrological variable with great influence on various processes of land-atmos...
Soil moisture and wet biomass changes between two non-instantaneous SAR observations markedly affect...
Near-future L-band fully polarimetric Synthetic Aperture Radar (SAR) missions will provide meaningfu...
Soil moisture content represents a key observable in order to model, describe and predict many ecolo...
The knowledge of spatial and temporal variability of soil water content and others soil-vegetation v...
This paper concerns vegetation parameter retrieval from polarimetric interferometric SAR (PolInSAR) ...
Soil moisture content (SMC) is a significant factor affecting crop growth and development. However, ...