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Publications about 'Flood'
Articles in journal or book chapters
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Giuseppe Ruzza,
Luigi Guerriero,
Gerardo Grelle,
Francesco Maria Guadagno,
and Paola Revellino.
Multi-Method Tracking of Monsoon Floods Using Sentinel-1 Imagery.
Water,
11(11),
2019.
Keyword(s): SAR Processing,
Flood Mapping,
Sentinel-1,
Water.
[Abstract]
[bibtex-entry]
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Andrea Virgilio Monti-Guarnieri,
Maria Antonia Brovelli,
Marco Manzoni,
Mauro Mariotti d'Alessandro,
Monia Elisa Molinari,
and Daniele Oxoli.
Coherent Change Detection for Multipass SAR.
IEEE Transactions on Geoscience and Remote Sensing,
56(11):6811-6822,
November 2018.
Keyword(s): SAR Processing,
Coherent Change Detection,
CCD.
[Abstract]
[bibtex-entry]
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André Twele,
Wenxi Cao,
Simon Plank,
and Sandro Martinis.
Sentinel-1-based flood mapping: a fully automated processing chain.
International Journal of Remote Sensing,
37(13):2990-3004,
2016.
Keyword(s): Sentinel-1,
Flood Mapping.
[Abstract]
[bibtex-entry]
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Jean-Michel Martinez and Thuy Le Toan.
Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data.
Remote Sensing of Environment,
108(3):209 - 223,
2007.
Keyword(s): Wetland,
Floodplain,
Vegetation,
Flood,
Temporal dynamic,
Radar,
Classification.
[Abstract]
[bibtex-entry]
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Anthony Freeman and Stephen L. Durden.
A three-component scattering model for polarimetric SAR data.
IEEE Trans. Geosci. Remote Sens.,
36(3):963-973,
May 1998.
Keyword(s): SAR Processing,
Polarimetric Decomposition,
Freeman-Durden Decomposition,
Bragg scatter,
backscatter,
canopy scatter,
composite scattering model,
double-bounce scatter,
flooding,
forest,
geophysical measurement technique,
inundation,
land surface,
orthogonal surface,
polarimetric SAR,
radar polarimetry,
radar remote sensing,
radar scattering,
randomly oriented dipoles,
rough surface,
synthetic aperture radar,
terrain mapping,
three-component scattering model,
tropical rain forest,
vegetation mapping,
backscatter,
forestry,
geophysical techniques,
radar cross-sections,
radar polarimetry,
radar theory,
remote sensing by radar,
synthetic aperture radar;.
[Abstract]
[bibtex-entry]
Conference articles
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F. Hélière,
C.C. Lin,
F. Fois,
M. Davidson,
A. Thompson,
and P. Bensi.
BIOMASS: A P-band SAR Earth explorer core mission candidate.
In Proc. IEEE Radar Conf.,
pages 1-6,
May 2009.
Keyword(s): BIOMASS mission,
Earth explorer core mission candidate,
P-band,
forest area,
forest biomass,
forest disturbances,
frequency 425 MHz,
global maps,
synthetic aperture radar,
terrestrial carbon cycle,
remote sensing by radar,
spaceborne radar,
synthetic aperture radar.
[Abstract]
[bibtex-entry]
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Andreas Wiesmann,
Tazio Strozzi,
Charles L. Werner,
Urs Wegmuller,
and Maurizio Santoro.
Microwave remote sensing of alpine snow.
In Proc. IEEE Int. Geosci. Remote Sens. Symp.,
pages 1223-1227,
July 2007.
Keyword(s): SnowScat,
KuScat,
microwave measurement,
remote sensing by radar,
snow,
ASSIST,
Alpine Safety,
Security and Information Services and Technologies,
Alpine snow,
C-band SAR,
CoReH2O mission,
SnowScat project,
avalanche maps,
avalanche warning,
flood management,
liquid water content,
microwave remote sensing,
snow coverage,
snow structure,
Content management,
Ecosystems,
Information security,
Knowledge management,
Microwave measurements,
Remote sensing,
Safety,
Satellites,
Snow,
Space technology,
ASSIST,
CoReH20,
SnowScat,
avalanche,
snow.
[Abstract]
[bibtex-entry]
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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to
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This collection of SAR literature is far from being complete. It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME
should NOT be mistaken for a complete bibliography of that author.
Last modified: Fri Feb 24 14:23:22 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .
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