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Structural Classification of Forest by means of L-band Tomographic SAR

Tello, Marivi and Cazcarra, Victor and Pardini, Matteo and Papathanassiou, Konstantinos (2015) Structural Classification of Forest by means of L-band Tomographic SAR. In: International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015-07-26 - 2015-07-31, Milan, Italy. doi: 10.1109/igarss.2015.7327028.

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Synthetic Aperture Radar (SAR) signals at lower frequencies can penetrate into forest. This capability allows, through advanced imaging techniques such as SAR tomography, the extraction of relevant information related to the three dimensional structural parameters of the observed scene. Recently, several airborne tomographic SAR experiments at low frequencies have already proven the potential of this technique in order to provide an insight on forest structure. And, in the next decade, future space missions such as BIOMASS and Tandem-L, will allow the monitoring of 3D forest structure, at global scale. However, research is still ongoing in order to translate the three dimensional reflectivity information provided by the tomographic SAR measurements into geophysical information that practitioners are familiar with and can assimilate in their analyses. The major challenge arises from the fact that the measured signal in a given resolution cell results from the combination of the contributions of an undefined number of tree parts (canopy, trunk, leaves …). Therefore, the parameters commonly employed in ecology relying on individual based measures (tree basal area, diameter of the tree crown, diameter of the tree stem, density of trees among others) cannot be retrieved in a direct way. Indirect correspondences between radar measures and forest characterization based on terrestrial observations have to be explored instead. This paper suggests a correspondence between the quantification of forest structure from terrestrial data (both horizontal and vertical) and analogous measures obtained from tomographic SAR data. More specifically, two complementary descriptors, estimated from the tomographic SAR reflectivity profiles, are defined. They account for the horizontal and vertical variability of the profiles and it is proven that they are correlated with the information reflected in the traditional measures of forest structure from terrestrial data. The extent of this correlation is tested on both simulated and real data.

Item URL in elib:https://elib.dlr.de/95133/
Document Type:Conference or Workshop Item (Speech)
Title:Structural Classification of Forest by means of L-band Tomographic SAR
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:July 2015
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Tomography, Forest Structure
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:2015-07-26 - 2015-07-31
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Tello Alonso, Maria
Deposited On:27 Jun 2018 08:25
Last Modified:24 Jul 2023 11:27

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