TY - JOUR
T1 - Mapping the extent and magnitude of sever flooding induced by hurricane Irma with multi-temporal Sentinel-1 SAR and InSAR observations
AU - Zhang, B.
AU - Wdowinski, S.
AU - Oliver-Cabrera, T.
AU - Koirala, R.
AU - Jo, M. J.
AU - Osmanoglu, B.
N1 - Funding Information:
The research was supported by the National Science Foundation (NSF) through Research program under Grant No. EAR-1713420 and National Aeronautics and Space Administration (NASA) grant 80NSSC17K0098. Sentinel data were provided by European Space Agency (ESA) and Water gauge data were provided by United States Geological Survey (USGS).
Publisher Copyright:
© Authors 2018. CC BY 4.0 License.
PY - 2018/4/30
Y1 - 2018/4/30
N2 - During Hurricane Irma's passage over Florida in September 2017, many sections of the state experienced heavy rain and sequent flooding. In order to drain water out of potential flooding zones and assess property damage, it is important to map the extent and magnitude of the flooded areas at various stages of the storm. We use Synthetic Aperture Radar (SAR) and Interferometric SAR (InSAR) observations, acquired by Sentinel-1 before, during and after the hurricane passage, which enable us to evaluate surface condition during different stages of the hurricane. This study uses multi-temporal images acquired under dry condition before the hurricane to constrain the background backscattering signature. Flooded areas are detected when the backscattering during the hurricane is statistically significantly different from the average dry conditions. The detected changes can be either an increase or decrease of the backscattering, which depends on the scattering characteristics of the surface. In addition, water level change information in Palmdale, South Florida is extracted from an interferogram with the aid of a local water gauge as the reference. The results of our flooding analysis revealed that the majority of the study area in South Florida was flooded during Hurricane Irma.
AB - During Hurricane Irma's passage over Florida in September 2017, many sections of the state experienced heavy rain and sequent flooding. In order to drain water out of potential flooding zones and assess property damage, it is important to map the extent and magnitude of the flooded areas at various stages of the storm. We use Synthetic Aperture Radar (SAR) and Interferometric SAR (InSAR) observations, acquired by Sentinel-1 before, during and after the hurricane passage, which enable us to evaluate surface condition during different stages of the hurricane. This study uses multi-temporal images acquired under dry condition before the hurricane to constrain the background backscattering signature. Flooded areas are detected when the backscattering during the hurricane is statistically significantly different from the average dry conditions. The detected changes can be either an increase or decrease of the backscattering, which depends on the scattering characteristics of the surface. In addition, water level change information in Palmdale, South Florida is extracted from an interferogram with the aid of a local water gauge as the reference. The results of our flooding analysis revealed that the majority of the study area in South Florida was flooded during Hurricane Irma.
KW - Flood
KW - Florida
KW - Hurricane
KW - InSAR
KW - Multi-temporal
KW - SAR
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U2 - 10.5194/isprs-archives-XLII-3-2237-2018
DO - 10.5194/isprs-archives-XLII-3-2237-2018
M3 - Conference article
AN - SCOPUS:85046945490
VL - 42
SP - 2237
EP - 2244
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 3
T2 - 2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing
Y2 - 7 May 2018 through 10 May 2018
ER -