Pardini, Matteo und Tello Alonso, Maria und Cazcarra-Bes, Victor und Papathanassiou, Konstantinos und Hajnsek, Irena (2018) L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (10), Seiten 3386-3401. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2018.2847033. ISSN 1939-1404.
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Kurzfassung
The aim of this paper is to compare L- and P-band vertical backscattering profiles estimated by means of Synthetic Aperture Radar (SAR) Tomography (TomoSAR) and full LIght Detection And Ranging (lidar) waveforms in terms of their ability to distinguish different tropical forest structure types. The comparison relies on the unique DLR F-SAR and NASA LVIS lidar data sets acquired in 2016 in the frame of the AfriSAR campaign. In particular, F-SAR and LVIS data over three different test sites complemented by plot field measurements are used. First, the SAR and lidar 3-D data sets are compared and discussed on a qualitative basis. The ability to penetrate into and through the canopy down to the ground is assessed at L- and P-band in terms of both the ground-to-volume power ratio and the performance to estimate the location of the ground scattering. The effect of polarimetry in the visibility of the ground is discussed as well. Finally, the 3-D measurements for each configuration are compared with respect to their ability to derive physical forest structure descriptors. For this, vertical structure indices derived from the volume-only 3-D radar reflectivity at L- and P-band and from the LVIS profiles are compared against each other as well as against plot-derived indices.
elib-URL des Eintrags: | https://elib.dlr.de/118321/ | ||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case | ||||||||||||||||||||||||
Autoren: |
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Datum: | Oktober 2018 | ||||||||||||||||||||||||
Erschienen in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
Band: | 11 | ||||||||||||||||||||||||
DOI: | 10.1109/JSTARS.2018.2847033 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 3386-3401 | ||||||||||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||
ISSN: | 1939-1404 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Tropical forest, forest structure, synthetic aperture radar (SAR), SAR tomography (TomoSAR), light detection and ranging (lidar), full waveforms. | ||||||||||||||||||||||||
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 Tandem-L Vorstudien (alt) | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte | ||||||||||||||||||||||||
Hinterlegt von: | Pardini, Dr.-Ing. Matteo | ||||||||||||||||||||||||
Hinterlegt am: | 18 Jan 2018 14:17 | ||||||||||||||||||||||||
Letzte Änderung: | 02 Nov 2023 09:40 |
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