Extraction Technic for Built-up Area Classification in Landsat 8 Imagery
Wilawan Prasomsup, Pantip Piyatadsananon, W. Aunphoklang, Apinya Boonrang
Abstract
Built-up areas play a significant type of land use associated with the urbanization. Classifying the built-up area by using satellite image, is also a high demand for a relevant organization to investigate the urban sprawl. This study aims to develop an index used to classify the built-up areas accurately. In order to achieve the aim of the study, two objectives were intensively studied to compare the results from several indices used to appropriately classify the built-up areas from satellite data of Landsat 8. The second objective is to develop a built-up area index which is suitable for classifying the built-up areas. This study considers the two study areas, Bangkachao and Bangkok International Airport, which encounter the rapid urbanization. This study employs a satellite image of Landsat 8 OLI (Operational Land Imager (OLI). The Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI) were intensively examined to present a BUI map correspondingly. On the other hand, Modified Normalized Difference Water Index (MNDWI) was tested to separate the water areas and wetlands from the built-up areas distinctively. Furthermore, the Modified Built-Up Index (MBUI) were developed based on the integration between the MNDWI and BUI map. As a result, it is clearly shown that the MBUI provides more accurate results of built-up area classification than the BUI. Also, the MBUI presents 82-83% accuracy of both study areas, which are higher than the BUI map. It is to say that MBUI can be employed to classify the built-up areas of the study areas accurately.