Icelandic coastline extraction based on water index using Landsat-8 image

Zibo Wang; Shengbo Chen; Xitong Xu; Yan Yu; Cheng Han; Yufeng Zhang

doi:10.1117/12.2625713

9 December 2021 Icelandic coastline extraction based on water index using Landsat-8 image

Zibo Wang, Shengbo Chen, Xitong Xu, Yan Yu, Cheng Han, Yufeng Zhang

Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 121290H (2021) https://doi.org/10.1117/12.2625713
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China

Abstract

The dynamic detection of coastline is important for the study of sea level rising caused by global climate change. Therefore, it is especially meaningful to select an appropriate method to extract the coastline accurately. In this paper, the coastal zones of Reykjavik, Iceland was chosen for the study area, and the method of combination water indices (i.e., NDWI, MNDWI, EWI, and AWEI) and the maximum interclass variance method (Otsu) was used to automatically detect the coastline. The results show that the NDWI and EWI can accurately extract the coastlines in this region, and NDWI performs better than others (accuracy of 91%). The conclusions obtained in this paper have the potential to be applied to coastline extraction in the polar regions.

Citation Download Citation

Zibo Wang, Shengbo Chen, Xitong Xu, Yan Yu, Cheng Han, and Yufeng Zhang "Icelandic coastline extraction based on water index using Landsat-8 image", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 121290H (9 December 2021); https://doi.org/10.1117/12.2625713

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KEYWORDS

Reflectivity

Earth observing sensors

Landsat

Near infrared

Short wave infrared radiation

Infrared radiation

Spatial resolution

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