Abstract
The distribution of urban built-up surfaces is a key indicator of the level of urbanization, which originates from several ecological effects. In this study, three new spectral indices i.e. New Impervious Index (NII), Road Detection Index (RDI) and New Roof Extraction Index (NREI) have been developed for detection of built-up (Level-1), road and roof surfaces (Level-2), respectively, followed by a separability analysis between spectrally confused urban land cover classes. The entire analysis is carried out using AVIRIS-NG and ground hyperspectral data of the Udaipur, Rajasthan region of India. The results of the analysis depict that the proposed indices show an overall average accuracy of 96.12%, 92.24%, and 94.77%, respectively, which are higher than the outcomes of different existing built-up indices. Further, the separability analysis also confirms that the proposed indices can prove to be effective for separating built-up surfaces (Level-1 and 2) from the spectrally similar background.
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