Spectral unmixing is the process of decomposing the spectral signature of a mixed pixel into
a set of endmembers and their corresponding abundances. Endmembers are spectra of the …

Remote sensing of urban heat islands (UHIs) has traditionally used the Normalized
Difference Vegetation Index (NDVI) as the indicator of vegetation abundance to estimate the …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

Satellite imagery is formed by finite digital numbers representing a specific location of
ground surface in which each matrix element is denominated as a picture element or pixel …

Estimating the distribution of impervious surface, a major component of the vegetation–
impervious surface–soil (V–I–S) model, is important in monitoring urban areas and …

Impervious surface has been recognized as a key indicator in assessing urban
environments. However, accurate impervious surface extraction is still a challenge …

This paper examines characteristics of urban land-use and land-cover (LULC) classes using
spectral mixture analysis (SMA), and develops a conceptual model for characterizing urban …

Spatial changes in urban areas are closely associated with the increasing impervious land
and thus, monitoring the spatio-temporal changes in impervious area is crucial for identifying …

Soil conservation planning often requires estimates of soil erosion at a catchment or
regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its …

Remote Sensing image analysis is mostly done using only spectral information on a pixel by
pixel basis. Information captured in neighbouring cells, or information about patterns …