Oleksandr Kit

Defining the bull's eye: satellite imagery-assisted slum population assessment in Hyderabad, India

Abstract This paper presents an approach to qualitative and spatial assessment of slum population numbers in Hyderabad, India using circle-based population data from the Census of India and results of the analysis of high resolution QuickBird satellite image data (2003) derived from automatic line detection and lacunarity algorithm. This approach provides plausible and spatially explicit aggregate statistics of slum population numbers within the city. This work suggests that both over- and underreporting of slum population numbers does occur in Hyderabad, and provides an improved view on the slum distribution patterns within this urban agglomeration.

Assessment of climate change - induced vulnerability to floods in Hyderabad, India, using remote sensing data

The frequency and intensity of extreme rainfall events over Hyderabad, India, are often the cause of devastating floods in its urban and peri-urban areas. This paper introduces a quantitative approach to assessing urban vulnerability to floods in Hyderabad, identifying informal settlements via high resolution satellite photography and through the development of a flood model for urban and peri-urban areas.

Automated identification of slums in Hyderabad using high resolution satellite imagery

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