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Proceedings Paper

Advantage of multipolarized SAR data for flood extent delineation
Author(s): G. Srinivasa Rao; V. Brinda; P. Manju Sree; V. Bhanumurthy
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Paper Abstract

Microwave remote sensing, due to its ability to image even during severe weather conditions is the main source for deriving flood extent for rapid mapping purpose. Most of the studies from the literature reveal that C-band SAR with HH polarization is a better option for delineation of flood extent when compared with VV polarization, which is sensitive to small ripples over flood surface. However, similar problem is observed in HH, at low incidence angles. This study focuses on the extraction of flood inundation using multi-polarized ENVISAT ASAR data acquired at both low and high incidence angles. The backscatter values for flood surface in both HH and HV polarizations were extracted. It is observed from the ASAR HH polarized data that the backscatter from floodwater is low at high incidence angles and high, in some pockets, at low incidence angles. However, with ASAR HV polarized data, the variation is marginal at both low and high incidence angles. A comparison was made between ASAR HH and HV datasets and Optical (IRS) data. The flood extents derived from both HH and HV are low when compared with the flood extent from IRS data. It is observed that the flood extent from HH is much lesser at low incidence angles (IS1). Further it is also observed that the combined flood extent from both HH and HV are more comparable with optical data, even at different incidence angles.

Paper Details

Date Published: 14 December 2006
PDF: 10 pages
Proc. SPIE 6410, Microwave Remote Sensing of the Atmosphere and Environment V, 64100Z (14 December 2006); doi: 10.1117/12.693947
Show Author Affiliations
G. Srinivasa Rao, National Remote Sensing Agency (India)
V. Brinda, National Remote Sensing Agency (India)
P. Manju Sree, National Remote Sensing Agency (India)
V. Bhanumurthy, National Remote Sensing Agency (India)


Published in SPIE Proceedings Vol. 6410:
Microwave Remote Sensing of the Atmosphere and Environment V
Azita Valinia; Seiho Uratsuka; Tapan Misra, Editor(s)

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