ACADSTAFF UGM
| Judul/Title | A Comparative Study of various Indices for extraction urban impervious surface of Landsat 8 OLI |
| Penulis/Author | Dr. Iswari Nur Hidayati, S.Si., M.Sc. (1) ; Prof. Dr. Drs. R. Suharyadi, M.Sc. (2) |
| Tanggal/Date | 27 2019 |
| Kata Kunci/Keyword | |
| Abstrak/Abstract | The impervious surface area is an area that is developing quite rapidly in urban areas. This increase in area is caused by the conversion of vegetation land to urban built land. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. The maximum likelihood classifier is used for land use detection that separates built up and non-built in urban areas. As a result, BCI has the highest value when compared to NDVI, NDBI, EBBI, SAVI, and NDISI. BCI has the most significant value of impervious surface, as evidenced by the most significant correlation coefficient. Furthermore, the study concluded that BCI became the most useful index in separating impervious surfaces from bare land, residential areas, and vegetation. |
| Rumpun Ilmu | Geografi |
| Bahasa Asli/Original Language | English |
| Level | Nasional |
| Status |