Version 1
: Received: 8 December 2022 / Approved: 8 December 2022 / Online: 8 December 2022 (10:03:26 CET)
How to cite:
Albanai, J. Open-source-based Approach to Delineate the Shoreline from Space: A Case Study in Failaka Island, the State of Kuwait. Preprints2022, 2022120156. https://doi.org/10.20944/preprints202212.0156.v1
Albanai, J. Open-source-based Approach to Delineate the Shoreline from Space: A Case Study in Failaka Island, the State of Kuwait. Preprints 2022, 2022120156. https://doi.org/10.20944/preprints202212.0156.v1
Albanai, J. Open-source-based Approach to Delineate the Shoreline from Space: A Case Study in Failaka Island, the State of Kuwait. Preprints2022, 2022120156. https://doi.org/10.20944/preprints202212.0156.v1
APA Style
Albanai, J. (2022). Open-source-based Approach to Delineate the Shoreline from Space: A Case Study in Failaka Island, the State of Kuwait. Preprints. https://doi.org/10.20944/preprints202212.0156.v1
Chicago/Turabian Style
Albanai, J. 2022 "Open-source-based Approach to Delineate the Shoreline from Space: A Case Study in Failaka Island, the State of Kuwait" Preprints. https://doi.org/10.20944/preprints202212.0156.v1
Abstract
Researchers need to delineate the shoreline for different applications with no access to costly resources such as topographic maps and high-resolution satellite images. With the increase of open source data, this study aims to present a methodology to use open source data in the best possible way to map the shoreline. Several methods have been tested using open source remote sensing data (Landsat and Aster), such as supervised classification, unsupervised classification, manual mapping, and by applying some spectral indices, among others. The accuracy of the extracted shoreline data was verified using high-resolution open database images (such as Google Earth basemap). The results showed that the manually mapped shoreline through applying spectral index (green- near infrared/green+ near infrared) is the most accurate, although it remains important to modify it using high-resolution images of open databases. Open-source data showed acceptable accuracy in mapping the shoreline.
Keywords
Remote sensing (RS); Geographic Information system (GIS); geography; coastal geomorphology; Arabian Gulf
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
