文章基本信息

标题：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
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作者：Arief Wicaksono ; Pramaditya Wicaksono
期刊名称：Geoplanning Journal
印刷版ISSN：2355-6544
出版年度：2019
卷号：6
期号：1
页码：55-72
DOI：10.14710/geoplanning.6.1.55-72
出版社：Geoplanning Journal
摘要：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.
其他摘要：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 understood 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 Planet Scope 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 regulation from Geospatial Information Agency of Indonesia 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 lowest shoreline geometry accuracy on artificial coast (RMSE=24.13 m). MNDWI has the lowest shoreline geometry accuracy on land deposition coast (RMSE=15.84 m), marine deposition coast (RMSE=29.53 m), and volcanic coast (RMSE=10 m). AWEIsh has the lowest shoreline geometry accuracy on the organic coast (RMSE=13.47 m), while AWEI does not superior to any coastal physical typology.
关键词：geometric accuracy; shoreline; Landsat 8 OLI; water index; coastal physical typology
其他关键词：Geometric Accuracy;Shoreline;Landsat 8 OLI;Water Index;Coastal Physical Typology