Open AccessA Comparative Study of various Indices for extraction urban impervious surface of Landsat 8 OLI
Author(s) -
Iswari Nur Hidayati,
R. Suharyadi
Publication year - 2019
Publication title -
forum geografi/forum geografi
Language(s) - English
Resource type - Journals
eISSN - 2460-3945
pISSN - 0852-0682
DOI - 10.23917/forgeo.v33i2.9179
Subject(s) - impervious surface , land cover , environmental science , urban heat island , remote sensing , vegetation (pathology) , extraction (chemistry) , built up area , urban area , land use , geography , meteorology , civil engineering , engineering , pathology , chromatography , economics , biology , medicine , ecology , chemistry , economy
Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. 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. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.