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SAR Tomography for Forest Structure Classification and Monitoring: Actual Status and Perspectives

Tello Alonso, Marivi and Cazcarra-Bes, Victor and Kim, Jun Su and Bertoluzza, Manuel and Torano Caicoya, Astor and Pardini, Matteo and Papathanassiou, Konstantinos (2015) SAR Tomography for Forest Structure Classification and Monitoring: Actual Status and Perspectives. 6th International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications, 2015-11-17 - 2015-11-19, Harwell, UK.

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Microwaves can propagate through vegetation layers, allowing the radar signal to interact with the different physical forest structure elements. Exploiting this property, SAR Tomography techniques provide a 3D profile of the backscattered radar power providing a proxy to the physical forest structure. This capability has been demonstrated by means of several (long wavelength) airborne campaigns, which have triggered the development of a new generation of forest structure monitoring applications by means of SAR remote sensing. At the same time, the progress in SAR technology makes possible the implementation and operation of a new generation of spaceborne SAR configurations able to realize these applications on a global scale with a high spatial and temporal resolution. The objective of this work is to present the status and to address potentials and challenges related to applications of SAR Tomography for 3D forest structure characterization and monitoring. A number of issues will be addressed, in particular: 1.the performance of several reflectivity estimators (model-based and not) with respect to acquisition configuration (e.g. geometry and number of baselines, availability of multiple polarization channels, frequency, etc.), and different seasonal and environmental conditions (leaves on/off, dry/wet acquisition days, etc.); 2.the interpretation of the reflectivity profiles, by means of a comparison with ground measurements, lidar profiles and forest simulations. In this, a key role is played by the variability of the profiles with seasons and environmental conditions; 3.the possibility and the methodologies to distinguish between different physical forest structure types by using the reflectivity profiles. In the presentation, several experimental results will be presented. Airborne (L-band polarimetric repeat-pass interferometric) SAR data will be used. Data have been collected under different environmental and seasonal conditions systematically over a period of 12 years (2003-2015) over the Traunstein test site by means of the DLR’s airborne platforms E-SAR and F-SAR. Traunstein is a heterogeneous temperate forest located in southern Germany, with a wide range of stand compositions, stand heights (from 10 to 40m) and stand biomass (mean biomass level of 200 Mg/ha and stands up to 500 Mg/ha). Radar results have been validated by means of extensive ground measurements and lidar profiles.

Item URL in elib:https://elib.dlr.de/99002/
Document Type:Conference or Workshop Item (Speech)
Title:SAR Tomography for Forest Structure Classification and Monitoring: Actual Status and Perspectives
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bertoluzza, ManuelUniversity of TrentoUNSPECIFIEDUNSPECIFIED
Date:19 November 2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, Polarimetry, Interferometry, Tomography, Forest structure, classification
Event Title:6th International Workshop on Retrieval of Bio- & Geo-physical Parameters from SAR Data for Land Applications
Event Location:Harwell, UK
Event Type:international Conference, Workshop
Event Dates:2015-11-17 - 2015-11-19
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Multi-dimensionale SAR-Auswertung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Pardini, Dr.-Ing. Matteo
Deposited On:03 Nov 2015 13:30
Last Modified:10 May 2016 23:33

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