Remote sensing image based nearshore bathymetry extraction of Mangaluru coast for planning coastal reservoir

Abstract

Water is an essential source for numerous day-to-day necessities. The storage of flood water in the nearshore region of sea by constructing a dyke is called coastal reservoir. Bathymetry of nearshore region is necessary, which is extracted through remote sensing technique in Mangaluru coast, India, to plan and identify a suitable site for coastal reservoir in this study. Single linear regression (SLR) and multi linear regression (MLR) algorisms with Landsat 8 OLI/TIRS data were used and calibrated with hydrographic charts. The SLR method produced bathymetry with coefficient of determination of 0.76 and 0.70 for Blue and NIR bands, respectively, and 0.88 for combination of Blue and NIR bands in MLR method, which is considerably high and accurate. The depth obtained was in the range of 0-20m, from the shoreline up to 10km offshore. The study helps in determining area and volume of the coastal reservoir. © 2020 Elsevier Inc.