Abstract :
Pakistan has faced numerous natural disasters like floods, earthquakes, landslides
and environmental degradation which severely affects the Pakistan’s economy and results in
various problems like causalities, diseases, water stress and severe damages (e.g., houses, public
infrastructure and agricultural land erosion). There is a lack of systematic approaches to
analyze pre and post damage assessment for estimation of exact loses and the total cost for
rehabilitation of damaged infrastructure in an efficient way. There exist a variety of
mechanisms but GIS based flood mapping is considered the most efficient to manage the
flood situation. This study is focused on evaluation of flood affected areas especially in Punjab
using WorldView-2, 8-band multi-spectral imagery by applying Remote Sensing (RS) and GIS
techniques. The research area is comprised of Kot Addu and Muzaffargarh Districts in Punjab
province of Pakistan that faced a catastrophic super flood of 2010. The WorldView-2, Quick
Bird and multispectral satellite imagery are capable of making better decisions and assessment
of flood effected area accurately. RS and GIS techniques can achieve the objectives and
significant analyses through visual interpretations. These techniques are also used to identify
International Journal of Innovations in Science & Technology
June 2019 | Vol 1|Issue 3 Page | 121
the flood affected regions. The study site was examined by applying supervised classification
on the basis of the training areas which were obtained during the field surveys in the study
site. Supervised classification determines that 16900.96 Hectors of agriculture land was
damaged while Sparse Riverine Forest had the area 44.52 hectors. The damaged built-up area
was 1805.78 Hectors. RS and GIS techniques are efficient for flood mapping.
Keyword :
Multi-spectral bands, GIS, RS, Visual Interpretation Elements, Supervised Classification, Worldview-2 and Quick Bird.