The body of scientific literature on slum mapping employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …

Rapid urbanization and urban growth, particularly in the developing worlds, is continuing to
be one of the crucial issues of global change in the 21st century affecting the physical …

In the present study, a new spectral index named as Normalized Ratio Urban Index
(NRUIms) has been proposed for multi-sensor Landsat satellite data. The new index along …

Kenya experiences massive urban growth, also into natural hazard-prone areas, exposing
settlements and the natural environment to riverine and pluvial floods and other natural …

Remote sensing applications of change detection are increasingly in demand for many
areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for …

Boosting is a classification method which has been proven useful in non-satellite image
processing while it is still new to satellite remote sensing. It is a meta-algorithm, which builds …

Currently about one-quarter of the world's urban population live in slums. Slums are defined
by the United Nations (UN) as informal settlements or areas deprived of access to water …

The assessment of the land use/land cover expansion that occurred in the area over a
period of thirty years is the utmost priority of this research work. Multi temporal Landsat …

Accessibility to higher resolution earth observation satellites suggests an improvement in the
potential for fine scale image classification. In this comparative study, imagery from three …

Assessment of building susceptibility due to natural hazard such as floods requires
information about the building construction, which cannot always be properly collected and …