Towards Forest Structure Characteristics Retrieval from SAR Tomographic Profiles

SAR Tomography has proven to be a unique tool for the retrieval of 3D structure information from forest scenarios: it can reveal different scattering mechanisms at different heights. However, the translation of these measurements into relevant forest structure information is not straightforward and research is still ongoing. In this direction, this paper suggest a framework for the estimation of forest structure from a SAR tomography scheme based on a low number of single pass coherences. Vertical reflectivity profiles are estimated by means of Compressive Sensing Imaging techniques. Two complementary descriptors are then suggested accounting for the simultaneous vertical and horizontal spatial variability of the scene. Their ability to reflect a characteristic structure behavior for the different types of forest considered is analyzed in simulated and real scenarios.

[1]  Konstantinos P. Papathanassiou,et al.  Polarimetric SAR interferometry , 1998, IEEE Trans. Geosci. Remote. Sens..

[2]  Konstantinos Papathanassiou,et al.  Estimating and understanding vertical structure of forests from multibaseline TanDEM-X Pol-InSAR data , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[3]  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.

[4]  Andreas Reigber,et al.  Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Richard G. Baraniuk,et al.  Distributed Compressive Sensing , 2009, ArXiv.

[6]  Andreas Huth,et al.  The effects of tree species grouping in tropical rainforest modelling: Simulations with the individual-based model Formind , 1998 .

[7]  S. Frolking,et al.  Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure , 2009 .

[8]  Kostas Papathanassiou,et al.  First demonstration of airborne SAR tomography using multibaseline L-band data , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[9]  Richard G. Baraniuk,et al.  Compressive Sensing , 2008, Computer Vision, A Reference Guide.

[10]  Konstantinos Papathanassiou,et al.  3-D Structure Of Forests: First Analysis of Tomogram Changes Due to Weather and Seasonal Effects at L-Band , 2014 .