Performance testing of selected spectral indices in automated extraction of impervious built-up surface features using R
- PDF / 5,542,059 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 91 Downloads / 161 Views
ORIGINAL PAPER
Performance testing of selected spectral indices in automated extraction of impervious built-up surface features using Resourcesat LISS-III image Abhisek Santra 1
&
Shreyashi Santra Mitra 1 & Suman Sinha 1 & Shidharth Routh 1
Received: 13 July 2019 / Accepted: 27 October 2020 # Saudi Society for Geosciences 2020
Abstract The increasing urban density and spatial expansion of urbanized areas result in changes from the natural landscape to impervious surface features. Remote sensing–based spectral indices provide an efficient method in the automated identification of land use and cover classes. However, a common challenge is the accurate extraction of built-up features from satellite images. The original Normalized Difference Built-up Index (NDBI) has been modified by several researchers in the anticipation of improvement of the built-up area classification. The indices adopted in the study are Index-based Built-up Index (IBI), Built Up Index (BUI), NDBI, Modified Built-up Index (MBI), and the newly developed Impervious Built-up Index (IBUI). These indices work on automated kernel-based probabilistic thresholding algorithm to group the index values into built-up and non-built-up areas. This study investigates the performance of the above mentioned five spectral indices on Resourcesat LISS III imageries over the Kolkata-Howrah urban agglomeration, India. The indices were compared and found based on the overall accuracy that the novel IBUI provided the maximum accuracy (94%) in extracting impervious built-up areas. Based on the overall accuracy and kappa statistic the IBUI was chosen for estimating spatio-temporal urban growth of the study area from 2003 to 2018 based on the same LISS-III sensor data. It was calculated that the urban built-up area has increased from 144 to 177 km2. Keywords Built-up . Spectral index . IBUI . Classification . Correlation
Introduction Today, the global population is living in an urban age (Brenner and Schmid 2014). The world has witnessed several natural and anthropogenic devastations which had a direct adverse effect on sustainable livelihood. The disastrous effect
Responsible Editor: Amjad Kallel * Abhisek Santra [email protected] Shreyashi Santra Mitra [email protected] Suman Sinha [email protected] Shidharth Routh [email protected] 1
Department of Civil Engineering, Haldia Institute of Technology, Hatiberia, Haldia 721657, India
of such catastrophe has a profound effect on the land cover features; however, the impact proliferates more enormously on the built-up areas, causing alterations in the land cover dynamics. This results in the essential requirement of rapid identification of urban built-up areas as the maximum economic loss occurs within the urban built-up areas (Varshney and Rajesh 2014). Mapping of such an urban impervious built-up surface using remote sensing is not only costeffective but also time-efficient. It helps to cover larger areas to monitor spatio-temporal urban growth and their possible environmental impacts on clim
Data Loading...
