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Abstract
Under impact of urbanizatio, urban environment is suffering the pressure on changing landscape ecology as well as increasing the pollution problems. Earth surface in urban nowadays has become impervious, leading on decreasing and preventing the surface permeability, shallowing the supplementary sources for underground water, increasing the overflow causing frequently flooded situation in the city after rainfall. In addition, the increasing thermal absorption by construction materials causes city becoming hotter and muggier influencing to human health. Monitoring and managing the urban growth are the problem for managers and planners to think how to develop the city in sustainable ways to ensure the urban resident life. Remote sensing science has contributed to detect the change of earth surface landscape with many methods in order to improve the classification quality. This paper is the premier results to study the Remote Sensing of Impervious Surfaces using the Linear Spectral Mixing Analysis for the sub-pixel classification to multispectral images with medium resolution such as Landsat for improving the accuracy.
Issue: Vol 11 No 4 (2008)
Page No.: 68-78
Published: Apr 30, 2008
Section: Sciences of Earth and Environment - Research article
DOI: https://doi.org/10.32508/stdj.v11i4.2633
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