Within-class spectral variation and between-class spectral confusion in remotely sensed imagery degrades the performance of built-up area detection when using planar texture, shape, and spectral features. Terrain slopes and building heights extracted from auxiliary data, such as Digital Surface Models (DSMs) however, can improve the results. Stereo imagery incorporates height information unlike...

Urban built-up area, one of the most important measures of an urban landscape, is an essential variable for understanding ecological and socioeconomic processes in urban systems. With an interest in urban development in transitional economies in Southeast Asia, we recognized a lack of high-to-medium resolution (<60 m) built-up information for countries in the region, including Vietnam, Laos, Ca...

Nowadays measuring national and regional development primarily relies on demographic socio-economic indicators. An indicator in physical dimension e.g., areas of human settlements their economic uses lands is usually ignored due to unavailability data countries like Thailand. Remotely-sensed derived built-up area was used, for the first time, as a studying Thailand’s development. Remote sensing...