Sub-Canopy Ground Localization from Multi-Baseline Pol-Insar Data in Forest Scenarios

The objective of this paper is to address the penetration capabilities of different synthetic aperture radar (SAR) frequencies in forest scenarios in terms of "visibility" of the ground. First, the ratio between the ground and the volume scattering powers is estimated from multi-baseline polarimetric interferometric (Pol-InSAR) data across different forest types. Afterwards, the resulting performance in the estimation of the ground height is characterized by comparing algorithms based on either the identification of the ground scatterer in tomographic profiles, or on the inversion of a model. This analysis is supported by experimental results obtained with multi-frequency, multibaseline Pol-InSAR data acquired by the DLR’s E-/F-SAR airborne platforms over different forest types.

[1]  Konstantinos Papathanassiou,et al.  Sub-canopy topography estimation: Experiments with multibaseline SAR data at L-band , 2012, IEEE International Geoscience and Remote Sensing Symposium.

[2]  Konstantinos Papathanassiou,et al.  On the Estimation of Ground and Volume Polarimetric Covariances in Forest Scenarios With SAR Tomography , 2017, IEEE Geoscience and Remote Sensing Letters.

[3]  Irena Hajnsek,et al.  Tropical-Forest-Parameter Estimation by Means of Pol-InSAR: The INDREX-II Campaign , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Irena Hajnsek,et al.  On the Separation of Ground and Volume Scattering Using Multibaseline SAR Data , 2017, IEEE Geoscience and Remote Sensing Letters.

[5]  Matteo Pardini,et al.  Impact of Dielectric Changes on L-Band 3-D SAR Reflectivity Profiles of Forest Volumes , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Stefano Tebaldini,et al.  Algebraic Synthesis of Forest Scenarios From Multibaseline PolInSAR Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Stefano Tebaldini,et al.  Retrieval of Terrain Topography in Tropical Forests Using P-Band Sar Tomography , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

[8]  Konstantinos Papathanassiou,et al.  Cancellation of Scattering Mechanisms in PolInSAR: Application to Underlying Topography Estimation , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[9]  S. Cloude,et al.  Three-stage inversion process for polarimetric SAR interferometry , 2003 .

[10]  Stefano Tebaldini,et al.  Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Irena Hajnsek,et al.  L- and P-Band 3-D SAR Reflectivity Profiles Versus Lidar Waveforms: The AfriSAR Case , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[12]  Laurent Ferro-Famil,et al.  Three-Dimensional Imaging of Objects Concealed Below a Forest Canopy Using SAR Tomography at L-Band and Wavelet-Based Sparse Estimation , 2017, IEEE Geoscience and Remote Sensing Letters.