Show simple item record

dc.contributor.author
Cazcarra-Bes, Victor
dc.contributor.author
Tello-Alonso, Maria
dc.contributor.author
Fischer, Rico
dc.contributor.author
Heym, Michael
dc.contributor.author
Papathanassiou, Konstantinos
dc.date.accessioned
2018-01-17T14:35:42Z
dc.date.available
2017-12-28T03:41:49Z
dc.date.available
2018-01-17T14:35:42Z
dc.date.issued
2017-12
dc.identifier.issn
2072-4292
dc.identifier.other
10.3390/rs9121229
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/224732
dc.identifier.doi
10.3929/ethz-b-000224732
dc.description.abstract
Synthetic Aperture Radar Tomography (TomoSAR) allows the reconstruction of the 3D reflectivity of natural volume scatterers such as forests, thus providing an opportunity to infer structure information in 3D. In this paper, the potential of TomoSAR data at L-band to monitor temporal variations of forest structure is addressed using simulated and experimental datasets. First, 3D reflectivity profiles were extracted by means of TomoSAR reconstruction based on a Compressive Sensing (CS) approach. Next, two complementary indices for the description of horizontal and vertical forest structure were defined and estimated by means of the distribution of local maxima of the reconstructed reflectivity profiles. To assess the sensitivity and consistency of the proposed methodology, variations of these indices for different types of forest changes in simulated as well as in real scenarios were analyzed and assessed against different sources of reference data: airborne Lidar measurements, high resolution optical images, and forest inventory data. The forest structure maps obtained indicated the potential to distinguish between different forest stages and the identification of different types of forest structure changes induced by logging, natural disturbance, or forest management.
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
synthetic aperture radar (SAR)
en_US
dc.subject
tomography
en_US
dc.subject
forest structure
en_US
dc.subject
forest dynamics
en_US
dc.subject
horizontal forest structure
en_US
dc.subject
vertical forest structure
en_US
dc.subject
L-band
en_US
dc.subject
Compressive sensing
en_US
dc.title
Monitoring of forest structure dynamics by means of L-band SAR tomography
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-11-28
ethz.journal.title
Remote Sensing
ethz.journal.volume
9
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
Remote sens.
ethz.pages.start
1229
en_US
ethz.size
22 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-12-28T03:41:53Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-17T14:36:11Z
ethz.rosetta.lastUpdated
2018-02-01T10:59:58Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Monitoring%20of%20forest%20structure%20dynamics%20by%20means%20of%20L-band%20SAR%20tomography&rft.jtitle=Remote%20Sensing&rft.date=2017-12&rft.volume=9&rft.issue=12&rft.spage=1229&rft.issn=2072-4292&rft.au=Cazcarra-Bes,%20Victor&Tello-Alonso,%20Maria&Fischer,%20Rico&Heym,%20Michael&Papathanassiou,%20Konstantinos&rft.genre=article&
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record