Forest SAR Tomography: Principles and Applications

H. Aghababaei; Giampaolo Ferraioli; Laurent  Ferro-Famil; Yue Huang; M.  Mariotti d'Alessandro; Vito Pascazzio; Gilda Schirinzi; Stefano  Tebaldini

doi:10.1109/MGRS.2019.2963093

Forest SAR Tomography: Principles and Applications

H. Aghababaei, Giampaolo Ferraioli, Laurent Ferro-Famil, Yue Huang, M. Mariotti d'Alessandro, Vito Pascazzio, Gilda Schirinzi, Stefano Tebaldini

Research output: Contribution to journal › Article › Academic › peer-review

68 Citations (Scopus)

480 Downloads (Pure)

Abstract

Synthetic-aperture radar (SAR) systems are widely used for monitoring vegetation and forested environments. Those that offer large-scale coverage, short revisiting times, and an under-foliage wave-penetration capability have been broadly employed to extract information about the forest structure. Similarly, 3D forest structures that serve as important indicators of productivity and biomass levels can be efficiently estimated using the SAR tomography (TomoSAR) processing technique through multibaseline (MB) image acquisition. This article provides an overview of the main developments in forest TomoSAR during the past two decades.

Original language	English
Pages (from-to)	30-45
Number of pages	16
Journal	IEEE geoscience and remote sensing magazine
Volume	8
Issue number	2
Early online date	12 Feb 2020
DOIs	https://doi.org/10.1109/MGRS.2019.2963093
Publication status	Published - Jun 2020

Keywords

ITC-ISI-JOURNAL-ARTICLE
22/2 OA procedure

Access to Document

10.1109/MGRS.2019.2963093

ArticleFinal published version, 3.25 MBLicence: Taverne

Cite this

@article{bbb1ab58221e459fbd6577e671a9a71e,

title = "Forest SAR Tomography: Principles and Applications",

abstract = "Synthetic-aperture radar (SAR) systems are widely used for monitoring vegetation and forested environments. Those that offer large-scale coverage, short revisiting times, and an under-foliage wave-penetration capability have been broadly employed to extract information about the forest structure. Similarly, 3D forest structures that serve as important indicators of productivity and biomass levels can be efficiently estimated using the SAR tomography (TomoSAR) processing technique through multibaseline (MB) image acquisition. This article provides an overview of the main developments in forest TomoSAR during the past two decades.",

keywords = "ITC-ISI-JOURNAL-ARTICLE, 22/2 OA procedure",

author = "H. Aghababaei and Giampaolo Ferraioli and Laurent Ferro-Famil and Yue Huang and {Mariotti d'Alessandro}, M. and Vito Pascazzio and Gilda Schirinzi and Stefano Tebaldini",

year = "2020",

month = jun,

doi = "10.1109/MGRS.2019.2963093",

language = "English",

volume = "8",

pages = "30--45",

journal = "IEEE geoscience and remote sensing magazine",

issn = "2168-6831",

publisher = "IEEE",

number = "2",

}

TY - JOUR

T1 - Forest SAR Tomography

T2 - Principles and Applications

AU - Aghababaei, H.

AU - Ferraioli, Giampaolo

AU - Ferro-Famil, Laurent

AU - Huang, Yue

AU - Mariotti d'Alessandro, M.

AU - Pascazzio, Vito

AU - Schirinzi, Gilda

AU - Tebaldini, Stefano

PY - 2020/6

Y1 - 2020/6

N2 - Synthetic-aperture radar (SAR) systems are widely used for monitoring vegetation and forested environments. Those that offer large-scale coverage, short revisiting times, and an under-foliage wave-penetration capability have been broadly employed to extract information about the forest structure. Similarly, 3D forest structures that serve as important indicators of productivity and biomass levels can be efficiently estimated using the SAR tomography (TomoSAR) processing technique through multibaseline (MB) image acquisition. This article provides an overview of the main developments in forest TomoSAR during the past two decades.

AB - Synthetic-aperture radar (SAR) systems are widely used for monitoring vegetation and forested environments. Those that offer large-scale coverage, short revisiting times, and an under-foliage wave-penetration capability have been broadly employed to extract information about the forest structure. Similarly, 3D forest structures that serve as important indicators of productivity and biomass levels can be efficiently estimated using the SAR tomography (TomoSAR) processing technique through multibaseline (MB) image acquisition. This article provides an overview of the main developments in forest TomoSAR during the past two decades.

KW - ITC-ISI-JOURNAL-ARTICLE

KW - 22/2 OA procedure

U2 - 10.1109/MGRS.2019.2963093

DO - 10.1109/MGRS.2019.2963093

M3 - Article

SN - 2168-6831

VL - 8

SP - 30

EP - 45

JO - IEEE geoscience and remote sensing magazine

JF - IEEE geoscience and remote sensing magazine

IS - 2

ER -

Forest SAR Tomography: Principles and Applications

Abstract

Keywords

Access to Document

Fingerprint

Cite this