Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

In the last three decades, the technologies and methods of remote sensing have evolved
dramatically to include a suite of sensors operating at a wide range of imaging scales with …

Urban greening is increasingly viewed by cities worldwide as an effective measure to
mitigate adverse impacts of urban heat island (UHI) effect. Despite the recognition of the …

This paper compares the normalized difference vegetation index (NDVI) and percent
impervious surface as indicators of surface urban heat island effects in Landsat imagery by …

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 reviews the potential applications of satellite remote sensing to regional science
research in urban settings. Regional science is the study of social problems that have a …

Linear spectral unmixing is a commonly accepted approach to mixed-pixel classification in
hyperspectral imagery. This approach involves two steps. First, to find spectrally unique …

There is increasing appreciation in the social sciences that context is an important element
in understanding social, economic, cultural, political and demographic processes. An …

We investigate the spectral complexity and unique spectral characteristics of urban
environments using a comprehensive regional field spectral library of more than 4500 …