Mahirani, Maulia and Darmawan, Soni (2018) AN EVALUATION OF LANDSAT 8 IMAGERY FOR MAPPING ON SHALLOW WATER USING STUMPF & HOLDERIED ALGORITHM (Case Study: Coastal Water of Narussalam District, East Aceh Regency). In: Proceedings Asian Conference on Remote Sensing.

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Abstract

Bathymetry mapping is conducted to produce some depth water information. The data of depth was obtain by measurement of directly to field across Indonesia takes time and high costs. Therefore, there is an alternative for doing bathymetry mapping shallow water to save time and money that is by using remote sensing. Technology remote sensing meant is to use Landsat 8 imagery. But this needs to be re-tested according to the charactheristics of the waters and tried to how accurate it is adjusted to the local area. The purpose of this research is to give a depth of the shallow water in be based on the image processing by using Stumpf & Holderied algorithm and to knows thoroughness Landsat 8 imagery for mapping bathymetry shallow waters. The research study area is located in Coastal Water of Narussalam District, East Aceh Regency. The research methodology consisted of collecting Landsat 8 image data, radiometric calibration, pan sharpening, cropping area, masking, application of Stumpf & Holderied algorithm and validated the result from image processing with data in situ. This study shows that the Landsat-8 Satellite Imagery has the potential to extract bathymetry information with vatiations of depth 0, 5, 10, 15 and 20 m. The coefficient of determination produced is 0,918 which means that the correlation between field data and image data is included in the category of very strong correlation. And by using linear model in Stumpf & Holderied algorithm on Landsat-8 Imagery there is errors obtained at depth intervals 0-5 m is 1.75 m, depth intervals 5-10 m is 1.92 m, depth intervals 10-15 is 2.07 m and depth intervals 15-20 is 3.77 m.

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