  Urban metabolism is an active field of research that deals with the
estimation of emissions and resource consumption from urban regions. The
analysis could be carried out through a manual surveyor by the implementation
of elegant machine learning algorithms. In this exploratory work, we estimate
the water consumption by the buildings in the region captured by satellite
imagery. To this end, we break our analysis into three parts: i) Identification
of building pixels, given a satellite image, followed by ii) identification of
the building type (residential/non-residential) from the building pixels, and
finally iii) using the building pixels along with their type to estimate the
water consumption using the average per unit area consumption for different
building types as obtained from municipal surveys.
