Geometric Accuracy Assessment for Shoreline Derived from NDWI, MNDWI, and AWEI Transformation on Various Coastal Physical Typology in Jepara Regency using Landsat 8 OLI Imagery in 2018

Landsat 8 OLI imagery and water index utilization is expected to be able to complete the shoreline data that is difficult to obtain by using terrestrial and hydrographic surveys. In fact, coastal areas in Indonesia have a variety of coastal physical typology so that each water index characteristic in obtaining shoreline data needs to be understand in order to use water index method effectively. The objectives of this study are to map the shoreline using NDWI, MNDWI, and AWEI transformations and assess the shoreline geometric accuracy on various coastal physical typology. The shoreline derived from water index is obtained from Landsat 8 OLI imagery, while the reference shoreline for accuracy assessment is obtained from visual interpretation on PlanetScope imagery. Threshold 0 and subjective threshold based on per coastal physical typology sample experiments are used to separate land-sea. The horizontal accuracy standard of the shoreline derived from water index uses the Perka BIG No 15 in 2014 on Technical Guidelines for Basic Map Accuracy. The results consisted of 1: 100,000 scale shoreline map and shoreline geometric accuracy per coastal physical typology. Based on the shoreline geometry accuracy assessment, NDWI has the highest shoreline geometry accuracy on artificial coast (RMSE= 24.13 m). MNDWI has the highest shoreline geometry accuracy on marine deposition coast (RMSE= 15.84 m), land deposition coast (RMSE= 29,53 m), and volcanic coast (RMSE= 10 m). AWEIsh has the highest shoreline geometry accuracy on organic coast (RMSE= 13,47 m), while AWEInsh does not superior to any coastal physical typology. © 2019 GJGP-UNDIP .