Comparison of active and passive remote sensing data in extracting coastlines

Abstract

Coastal environments are one of the most sensitive environmental systems that are affected
by hydrodynamic processes and rapid changes. Also, from an ecological point of view, coastal
areas are of high value due to having sensitive and productive ecosystems. Therefore,
extracting characteristics of coastlines and revealing their changes is very efficient and vital
for various applications. In this research, the coastline of Zarivar Lake located in the Kurdistan
province of Iran extracted thriough image processing techniques including minimum distance,
maximum probability, optical indices NDVI, NDWI, TCW and band ratios of Oli bands (5/3)
and (6/3). In this regard, coastlines were extracted after necessary processing. The results
showed that the 5/3 band ratio method in coastline extraction has an average error of 90
meters when using OLI data, and the maximum likelihood classification has an average error
of 120 meters in comparision to visual interpretation when using Sentinel 1 Microwave data