Social and Behavioral Sciences Commons^™

A Modified Normalized Difference Impervious Surface Index (Mndisi) For Automatic Urban Mapping From Landsat Imagery, Zhongchang Sun, Cuizhen Wang, Huadong Guo, Ranran Shang

Faculty Publications

Impervious surface area (ISA) is a key factor for monitoring urban environment and land development. Automatic mapping of impervious surfaces has attracted growing attention in recent years. Spectral built-up indices are considered promising to map ISA distributions due to their easy, parameter-free implementations. This study explores the potentials of impervious surface indices for ISA mapping from Landsat imagery using a case study area in Boston, USA. A modified normalized difference impervious surface index (MNDISI) is proposed, and a Gaussian-based automatic threshold selection method is used to identify the optimal MNDISI threshold for delineating impervious surfaces from background features. To evaluate …