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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qian Lexiang Qian Huaisui Cui Haishan |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Geographical Sciences, Guangzhou University, China 510006 (Qian Lexiang; Qian Huaisui; Cui Haishan) |
| Abstract | With rapid urban growth in recent years, it becomes an important research topic for us to understand urban biophysical composition and dynamics. Remote sensing technologies introduce a potentially scientific basis for examining urban composition and monitoring its changes over time. The vegetation-impervious surface-soil-water (V-I-S-W) model, in particular, provides a foundation for describing urban/suburban environments and a basis for further urban analyses including urban growth modeling, environmental impact analysis, and socioeconomic factor estimation. This paper develops a standardized ratio model (SRM) method to examine urban composition especially urban impervious surface in Haizhu District using Landsat ETM+ data. In particular, a brightness SRM method is applied to reduce brightness variation. Through this standardization, brightness variability within each V-I-S-W component is reduced or eliminated, thus allowing a single end-member representing each component. Further, with the standardized image, four endmembers, vegetation, impervious surface, soil, and water, are chosen to model heterogeneous urban composition using a constrained spectral mixture analysis (SMA) models. The accuracy of impervious surface estimation is assessed and compared with other existing model. Results indicate that the proposed model is a better alternative to existing models, with a root mean square error (RMSE) of 12.6% for impervious surface estimation in the study area. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 4017408 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424434602 |
| DOI | 10.1109/URS.2009.5137660 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Satellites Image analysis Brightness Vegetation mapping Standardization Soil Root mean square Remote monitoring Remote sensing Spectral analysis |
| Content Type | Text |
| Resource Type | Article |
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