Development of normalized soil area index for urban studies using remote sensing data

This paper presents two novel spectral soil area indices to identify bare and distinguish it more accurately from the urban impervious surface (ISA). study designs these based on medium spatial resolution remote sensing data Landsat 8 OLI dataset. Extracting or ISA is challenging than extracting water bodies vegetation in multispectral Remote Sensing (RS). Bare often were mixed because of their similarity sensors. proposes Normalized Soil Area Index 1 (NSAI1) 2 (NSAI2) using typical bands. Experiments show that have an overall accuracy around 90%. The index (SDI) shows higher separability between previous indices. result percentile thresholds can effectively classify areas background. combined use both measured over 71 km2. Most importantly, proposed refine measurement spatiotemporal studies.