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

Tello, Marivi und Cazcarra, Victor und Pardini, Matteo und 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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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/95133/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Structural Classification of Forest by means of L-band Tomographic SAR
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Tello, MariviDLRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Cazcarra, VictorDLRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Pardini, MatteoDLRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Papathanassiou, KonstantinosDLR-HRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juli 2015
Erschienen in:International Geoscience and Remote Sensing Symposium (IGARSS)
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1109/igarss.2015.7327028
Status:veröffentlicht
Stichwörter:Tomography, Forest Structure
Veranstaltungstitel:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Veranstaltungsort:Milan, Italy
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:26 Juli 2015
Veranstaltungsende:31 Juli 2015
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Fernerkundung der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte
Hinterlegt von: Tello Alonso, Maria
Hinterlegt am:27 Jun 2018 08:25
Letzte Änderung:24 Apr 2024 20:00

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