dc.description.abstract |
SAR or Microwave remote sensing today
has proved itself to be a paradigm shift in the field of
remote sensing. With its all-weather availability, it has
found variety of applications in several fields today. Till
now, and mainly, floods have been mapped using optical
remote sensing data since a long time. Floods have been
a common and yearly catastrophe which the people of
areas situated in lesser elevations and on the foothills of
mountains in the Terai area must face. Proper mapping
of floods can help to delineate the areas with higher loss
of life and property thus aiding the relief measures. This
study aims to analyze and exploit the potential of SAR
Interferometry (InSAR) for flood inundation mapping
using a pair of C-Band dual PolSAR datasets from
Sentinel-1. The datasets were preprocessed for speckle
removal and radiometric corrections. Thereafter, subset
of study area was taken, and the datasets were coregistered followed by interferometric processing. The
results showed low phase shift in and around the river
and to some extent in the urban areas which generally
does not happen unless there is an increased single
bounce scatter. The topographic phase removed
interferogram showed high phase variations in the core
of urban areas while coherence map showed an acute
loss of coherence from permanent features as well which
showed high degree of flood water accumulation. This
flood was mapped by masking out the low values of high
coherence areas from the image using a proper threshold
value. High degree of flooding was observed in Urban
areas and much of agricultural land was seen to have
been submerged under water once the resulting
inundation map was overlaid on Google earth |
en_US |