Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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📌Poster Session and Networking Aperitivo 🍷 Location: Lower Lobby | |
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Analysis of L- and P-band InSAR Histograms for Mapping Forest Structure 1: Sapienza University of Rome, Italy; 2: Jet Propulsion Laboratory, California Institute of Technology SAR Histomography, also known as Phase Histogram technique, enables the reconstruction of tomographic-like vertical forest profiles from a single-polarization, single-interferometric pair with a non-zero spatial baseline. This approach drastically reduces the acquisition requirements and costs typically associated with tomographic missions. Although the method provides only an approximation of the true vertical distribution of scatterers within the canopy, it has demonstrated promising capabilities for digital elevation model (DEM) estimation and for improving the understanding of radar–forest interactions [1,2,3]. This work investigates the applicability and limitations of SAR histomography for forest-structure retrieval and DEMs estimation. The analysis relies on airborne interferometric and polarimetric L- and P-band SAR data acquired by NASA-JPL’s UAVSAR system during the AfriSAR-1 and AfriSAR-2 campaigns over tropical forests in Gabon, complemented by LVIS LiDAR waveforms used as reference data. Two representative study sites, namely the Rabi Forest and Pongara National Park, were selected for their contrasting soil conditions and vegetation types, enabling the influence of both system and scene properties on the derived radar profiles to be examined. To quantify the spatial variability of the generated radar profiles at L- and P-band, a set of structural metrics was defined. These metrics describe the vertical distribution of the profiles, providing insights into canopy stratification and scattering complexity. Furthermore, a method for estimating digital elevation models from radar profiles while accounting for signal attenuation through the canopy, is proposed. The obtained results are compared and discussed to evaluate the performance and limitations of the approach. [1] Shiroma H.X. G., et al. Digital terrain, surface, and canopy height models from insar backscatter-height histograms. IEEE Transactions on Geoscience and Remote Sensing, 58(6):3754–3777, 2020. [2] Lavalle, M., et al. "Histogram SAR Tomography: Model and SAR Observations." EUSAR 2024; 15th European Conference on Synthetic Aperture Radar. VDE, 2024. [3] Wu, Chuanjun, et al. "Evaluating Phase Histograms for Remote Sensing of Forested Areas Using L-Band SAR: Theoretical Modeling and Experimental Results." IEEE Transactions on Geoscience and Remote Sensing (2024). | |
