P Band

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 4320 Experts worldwide ranked by ideXlab platform

A. Ben Hamida - One of the best experts on this subject based on the ideXlab platform.

  • Effect of soil roughness on backscattered P-Band radar signal over bare soil
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signal for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity of backscattered P-Band signal to soil surface Parameters. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signal as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made Over agricultural fields. DiscrePancies between the Measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signal as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of P-Band radar signal Potential to retrieve soil moisture Profile
    2016
    Co-Authors: Mehrez Zribi, N. Baghdadi, M. Sahnoun, Richard Dusséaux, Saddek Afifi, A. Ben Hamida
    Abstract:

    In this PaPer, we ProPose an analysis of P-Band radar signal Potential to retrieve soil moisture root Profile. Our analysis is based on two electromagnetic models, the small Perturbation method and the small sloPe aPProximation. There models consider electromagnetic scattering from three-dimensional layered structures with an arbitrary number of rough surfaces. Simulations are ProPosed for different tyPes of moisture Profiles, for different hydrological conditions.

  • Effect of soil roughness on backscattered P-Band radar signals
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity to soil surface Parameters of backscattered P-Band signals. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signals as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields. DiscrePancies between the measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of the relationshiP between backscattered P-Band radar signals and soil roughness
    Remote Sensing of Environment, 2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The numerical moment method backscattering model is used to study the sensitivity to soil roughness Parameters of backscattered P-Band signals. Two roughness scales related to terrain microtoPograPhy and low frequency roughness structures are considered. In the case of microtoPograPhy, the rms height is shown to be the dominant influence in the relationshiP between radar signals and roughness. For low frequency structures, the Parameter Zs is strongly correlated with the backscattered signals. An analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (microtoPograPhy and large-scale roughness structures) reveals the comPlexity of using P-Band data for the study of bare surface soil Parameters. The Moment method model is then comPared with the real data covering a large range of microtoPograPhic roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields, at two sites in France. The significant discrePancies observed between measurements and simulations confirm the limitations of an analysis based on microtoPograPhic characterizations only.

N. Baghdadi - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring troPical forest structure using SAR tomograPhy at L- and P-Band
    Remote Sensing, 2019
    Co-Authors: I. Moussawi, N. Baghdadi, D. Ho Tong Minh, Marco Lavalle, Chadi Abdallah, Jalal Jomaah, Olivier Strauss, Yen-nhi Ngo
    Abstract:

    Our study aims to Provide a comParison of the P- and L-Band TomoSAR Profiles, Land Vegetation and Ice Sensor (LVIS), and discrete return LiDAR to assess the ability for TomoSAR to monitor and estimate the troPical forest structure Parameters for enhanced forest management and to suPPort biomass missions. The comParison relies on the unique UAVSAR Jet ProPulsion Laboratory (JPL)/NASA L-Band data, P-Band data acquired by ONERA airborne system (SETHI), Small FootPrint LiDAR (SFL), and NASA Land, Vegetation and Ice Sensor (LVIS) LiDAR datasets acquired in 2015 and 2016 in the frame of the AfriSAR camPaign. Prior to multi-baseline data Processing, a Phase residual correction methodology based on Phase calibration via Phase center double localization has been imPlemented to imProve the Phase measurements and comPensate for the Phase Perturbations, and disturbances originated from uncertainties in allocating flight trajectories. First, the vertical structure was estimated from L- and P-Band corrected TomograPhy SAR data measurements, then comPared with the canoPy height model from SFL data. After that, the SAR and LiDAR three-dimensional (3D) datasets are comPared and discussed at a qualitative basis at the region of interest. The L- and P-Band's Performance for canoPy Penetration was assessed to determine the underlying ground locations. Additionally, the 3D records for each configuration were comPared with their ability to derive forest vertical structure. Finally, the vertical structure extracted from the 3D radar reflectivity from L- and P-Band are comPared with SFL data, resulting in a root mean square error of 3.02 m and 3.68 m, where the coefficient of determination shows a value of 0.95 and 0.93 for P- and L-Band, resPectively. The results demonstrate that TomoSAR holds Promise for a scientific basis in forest management activities.

  • Effect of soil roughness on backscattered P-Band radar signal over bare soil
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signal for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity of backscattered P-Band signal to soil surface Parameters. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signal as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made Over agricultural fields. DiscrePancies between the Measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signal as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of P-Band radar signal Potential to retrieve soil moisture Profile
    2016
    Co-Authors: Mehrez Zribi, N. Baghdadi, M. Sahnoun, Richard Dusséaux, Saddek Afifi, A. Ben Hamida
    Abstract:

    In this PaPer, we ProPose an analysis of P-Band radar signal Potential to retrieve soil moisture root Profile. Our analysis is based on two electromagnetic models, the small Perturbation method and the small sloPe aPProximation. There models consider electromagnetic scattering from three-dimensional layered structures with an arbitrary number of rough surfaces. Simulations are ProPosed for different tyPes of moisture Profiles, for different hydrological conditions.

  • Effect of soil roughness on backscattered P-Band radar signals
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity to soil surface Parameters of backscattered P-Band signals. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signals as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields. DiscrePancies between the measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of P Band radar signal Potential to retrieve soil moisture Profile
    2016
    Co-Authors: Mehrez Zribi, N. Baghdadi, M. Sahnoun, Richard Dusséaux, Saddek Afifi, A. Benhamida
    Abstract:

    We ProPose an analysis of P Band radar signal Potential to retrieve soil moisture root Profile. Our analysis is based on two electromagnetic models, the small Perturbation method and the small sloPe aPProximation. There models consider electromagnetic scattering from three-dimensional layered structures with an arbitrary number of rough surfaces. Simulations are ProPosed for different tyPes of moisture Profiles, for different hydrological conditions.

Mehrez Zribi - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of P-Band radar signal Potential to retrieve soil moisture Profile
    2016
    Co-Authors: Mehrez Zribi, N. Baghdadi, M. Sahnoun, Richard Dusséaux, Saddek Afifi, A. Ben Hamida
    Abstract:

    In this PaPer, we ProPose an analysis of P-Band radar signal Potential to retrieve soil moisture root Profile. Our analysis is based on two electromagnetic models, the small Perturbation method and the small sloPe aPProximation. There models consider electromagnetic scattering from three-dimensional layered structures with an arbitrary number of rough surfaces. Simulations are ProPosed for different tyPes of moisture Profiles, for different hydrological conditions.

  • Effect of soil roughness on backscattered P-Band radar signal over bare soil
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signal for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity of backscattered P-Band signal to soil surface Parameters. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signal as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made Over agricultural fields. DiscrePancies between the Measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signal as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Effect of soil roughness on backscattered P-Band radar signals
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity to soil surface Parameters of backscattered P-Band signals. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signals as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields. DiscrePancies between the measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of P Band radar signal Potential to retrieve soil moisture Profile
    2016
    Co-Authors: Mehrez Zribi, N. Baghdadi, M. Sahnoun, Richard Dusséaux, Saddek Afifi, A. Benhamida
    Abstract:

    We ProPose an analysis of P Band radar signal Potential to retrieve soil moisture root Profile. Our analysis is based on two electromagnetic models, the small Perturbation method and the small sloPe aPProximation. There models consider electromagnetic scattering from three-dimensional layered structures with an arbitrary number of rough surfaces. Simulations are ProPosed for different tyPes of moisture Profiles, for different hydrological conditions.

  • ATSIP - Effect of soil roughness on backscattered P-Band radar signals
    2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Letoan, A. Ben Hamida
    Abstract:

    In the Present PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The (IEM) Integral Equation Model is aPPlied to investigate the sensitivity to soil surface Parameters of backscattered P-Band signals. A new Parameter for roughness referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band of the radar signals as a function of soil roughness. The IEM model is validated using real data covering a large area of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields. DiscrePancies between the measurements and simulations led to the analysis of the imPact of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

Mahta Moghaddam - One of the best experts on this subject based on the ideXlab platform.

  • Retrieval of Permafrost Active Layer ProPerties Using Time-Series P-Band Radar Observations
    IEEE Transactions on Geoscience and Remote Sensing, 2019
    Co-Authors: Richard H. Chen, Alireza Tabatabaeenejad, Mahta Moghaddam
    Abstract:

    We ProPose a method to estimate the active layer ProPerties, including soil dielectric Profiles and active layer thickness (ALT), in Permafrost regions using time-series P-Band Polarimetric synthetic aPerture radar (SAR) observations. The active layer and underlying Permafrost are modeled as a three-layer dielectric structure with the layer dielectric constants rePresenting the soil moisture and freeze-thaw state of the layer. To resolve the ambiguity of the retrieved layer thicknesses, an aPProach of finding the largest Possible dePths (LPDs) is combined with time-series observations, where the ALT is assumed time-invariant between the maximum thaw and before the uPward freezing front rises significantly from the Permafrost table. The LPD-assisted time-series retrieval algorithm is aPPlied to the radar data acquired by the Airborne Microwave Observatory of SubcanoPy and Subsurface (AirMOSS) P-Band SAR in August and October 2014 and 2015 over the Alaska North SloPe. The results show that the retrieved ALT values are generally underestimated for the sites where the in situ ALT is larger than the P-Band sensing dePth, with a retrieval bias ranging from −0.05 to −0.24 m as validated against the in situ ALT collected at CircumPolar Active Layer Monitoring (CALM) sites. For the sites where the in situ ALT is smaller than 0.55 m, the retrieval errors are generally less than 0.1 m. The retrieval results also show that the active layer ProPerties are strongly influenced by the land cover tyPes at the regional scale, and not as much by the North–South temPerature gradient across a 180-km-long transect along the Deadhorse flight line.

  • Theoretical Modeling and Analysis of L- and P-Band Radar Backscatter Sensitivity to Soil Active Layer Dielectric Variations
    Remote Sensing, 2015
    Co-Authors: John S. Kimball, Mahta Moghaddam
    Abstract:

    Freeze-thaw (FT) and moisture dynamics within the soil active layer are critical elements of boreal, arctic and alPine ecosystems, and environmental change assessments. We evaluated the Potential for detecting dielectric changes within different soil layers using combined L- and P-Band radar remote sensing as a Prerequisite for detecting FT and moisture Profile changes within the soil active layer. A two-layer scattering model was develoPed and validated for simulating radar resPonses from vertically inhomogeneous soil. The model simulations indicated that inhomogeneity in the soil dielectric Profile contributes to both L- and P-Band backscatter, but with greater P-Band sensitivity at dePth. The difference in L- and P-Band resPonses to soil dielectric Profile inhomogeneity aPPears suitable for detecting associated changes in soil active layer conditions. Additional evaluation using collocated airborne radar (AIRSAR) observations and in situ soil moisture measurements over alPine tundra indicates that combined L- and P-Band SAR observations are sensitive to soil dielectric Profile heterogeneity associated with variations in soil moisture and FT conditions.

  • L-Band and P-Band studies of vegetation at JPL
    2015 IEEE Radar Conference, 2015
    Co-Authors: Scott Hensley, Thierry Michel, Jakob Van Zyl, Marco Lavalle, Maxim Neumann, Ron Muellerschoen, Naiara Pinto, Marc Simard, Mahta Moghaddam
    Abstract:

    Longer wavelength radar signals are known to Penetrate deePer into foliage. L-Band and P-Band radars have been used extensively by the remote sensing community for vegetation studies. Radar interferometry, in Particular Polarimetric radar interferometry has been shown to be able to estimate vegetation structure Parameters, for examPle vegetation height, to meter level accuracy with suitable imaging geometries. Several ProPosed mission including the ESA BIOMASS and NASA NISAR are Planned to oPerate at these higher frequencies and to estimate various bioPhysical vegetation Parameters. This PaPer will Present some results of Polarimetric-interferometric studies of temPoral and troPical forests using airborne L-Band and P-Band radar data collected by the UAVSAR and AIRMOSS radars and comParing them to in situ measurements. These will be used to inform the ability to extract vegetation information for these sPaceborne missions.

T. Le Toan - One of the best experts on this subject based on the ideXlab platform.

  • P-Band SAR tomograPhy for the characterization of troPical forests
    2017
    Co-Authors: D. Ho Tong Minh, Stefano Tebaldini, Laurent Ferro-famil, Lionel Villard, T. Le Toan
    Abstract:

    The objective of this PaPer is to Provide a better understanding of tomograPhic caPabilities in characterization of dense forested areas at P-Band. The analysis is carried out on airborne data acquired by ONERA over the site in French Guyana, and in Gabon during the ESA camPaign TroPiSAR 2009 and AfriSAR 2015, resPectively. The results shown suPPort the idea that ground- and -volume interactions Play a significant role at P-Band. For a dense forest of 30 m and more, strong ground contribution at P-Band can be visible in tomograms. P-Band tomograPhy allow us to retrieve the whole forest vertical structure, better characterizing of the ground and/or volume scatterings and Providing an unique solution in high biomass ranging from 0-500 t/ha.

  • IGARSS - P-Band SAR tomograPhy for the characterization of troPical forests
    2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
    Co-Authors: D. Ho Tong Minh, Stefano Tebaldini, Laurent Ferro-famil, Ludovic Villard, T. Le Toan
    Abstract:

    The objective of this PaPer is to Provide a better understanding of tomograPhic caPabilities in characterization of dense forested areas at P-Band. The analysis is carried out on airborne data acquired by ONERA over the site in French Guyana, and in Gabon during the ESA camPaign TroPiSAR 2009 and AfriSAR 2015, resPectively. The results shown suPPort the idea that ground- and -volume interactions Play a significant role at P-Band. For a dense forest of 30 m and more, strong ground contribution at P-Band can be visible in tomograms. P-Band tomograPhy allow us to retrieve the whole forest vertical structure, better characterizing of the ground and/or volume scatterings and Providing an unique solution in high biomass ranging from 0–500 t/ha.

  • Effect of soil roughness on backscattered P-Band radar signals
    2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The Integral Equation Model (IEM) is used to study the sensitivity to soil surface Parameters of backscattered P-Band signals. A new roughness Parameter referred to as ZP, combining the root mean square surface height and the correlation length, is ProPosed to describe the behavior of P-Band radar signals as a function of soil roughness. The IEM model is validated using real data covering a large range of roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields. DiscrePancies between the measurements and simulations led to the analysis of the influence of low frequency roughness structures on backscattering simulations. The analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (micro toPograPhy and large roughness structures) reveals the comPlexity of using P-Band data for the analysis of bare surface soil Parameters.

  • Analysis of the relationshiP between backscattered P-Band radar signals and soil roughness
    Remote Sensing of Environment, 2016
    Co-Authors: Mehrez Zribi, M. Sahnoun, N. Baghdadi, T. Le Toan, A. Ben Hamida
    Abstract:

    In this PaPer, the Potential use of P-Band radar signals for the estimation of soil roughness Parameters is analyzed. The numerical moment method backscattering model is used to study the sensitivity to soil roughness Parameters of backscattered P-Band signals. Two roughness scales related to terrain microtoPograPhy and low frequency roughness structures are considered. In the case of microtoPograPhy, the rms height is shown to be the dominant influence in the relationshiP between radar signals and roughness. For low frequency structures, the Parameter Zs is strongly correlated with the backscattered signals. An analysis of the behavior of P-Band radar signals as a function of multi-scale soil roughness (microtoPograPhy and large-scale roughness structures) reveals the comPlexity of using P-Band data for the study of bare surface soil Parameters. The Moment method model is then comPared with the real data covering a large range of microtoPograPhic roughness values, derived from exPerimental airborne P-Band SAR camPaigns made over agricultural fields, at two sites in France. The significant discrePancies observed between measurements and simulations confirm the limitations of an analysis based on microtoPograPhic characterizations only.

  • Estimation of a forest backscatter Profile at P-Band using Single Baseline (Pol-)InSAR
    IEEE Transactions on Geoscience and Remote Sensing, 2010
    Co-Authors: Franck Garestier, T. Le Toan
    Abstract:

    The vertical backscatter Profile of a Pine forest constituted by stands of different height is inverted from a single baseline P-Band Pol-InSAR data in order to identify scatterers in the canoPy. The ProPosed aPProach uses the Gaussian vertical backscatter Profile model, which associates an interferometric coherence exPression to a vertical scatterers' distribution characterized by relative standard deviation and elevation. The methodology, which uses in situ measurements of forest height and unbiased ground level estimation, is aPPlied to HV and VV channels, Providing accuracy given sufficiently low ground-to-canoPy Power ratios. Inverted backscatter Profiles show maximum Power converging toward the basis of the tree crown on highest forests, where the largest branches are located, indicating the high sensitivity of P-Band measurements to the forest structure and to the vertical biomass distribution. Over lower stands with larger tree densities, the Power Peak is located in the uPPer Part of the canoPy, which can be exPlained by a stronger attenuation in the canoPy.

P Band - 15 days free trial to Access Experts & Abstracts