PENINGKATAN RESOLUSI SEA SURFACE HEIGHT ALTIMETRI DENGAN PENAPISAN METODE GAUSSIAN DAN BUTTERWORTH
Every measurement mostly contains unwanted components that should be removed from the main data that want to be preserved, the unwanted component can be noise or outlier. In marine geodesy, the temporal variation, which is dynamic ocean topography (DOT) of the sea surface is considered as noise. Sea...
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| Format: | Final Project |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/61206 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Every measurement mostly contains unwanted components that should be removed from the main data that want to be preserved, the unwanted component can be noise or outlier. In marine geodesy, the temporal variation, which is dynamic ocean topography (DOT) of the sea surface is considered as noise. Sea surface height (SSH) is a low frequency or in other words, long-wavelength signal whereas the noise is a high frequency or short wavelength signal. This research focused on the attempt of increasing the spatial resolution of SSH by removing the dynamic ocean topography component from the sea surface height. The data used in this research are Altimetry Satellite data within the area of Indonesia from Jason-1 and ERS-1. Fourier transform is a method used in this research to analyze signal components from Altimetry Satellite. Gaussian and Butterworth are the filtering method used to remove the noise from the main signal. Overall, filtering can be done to remove the noise up to 20 km wavelength, where 15– 45 km is the short wavelength estimation of Altimetry Satellite signal spectrum that is dominated by temporal variation (DOT), whereas above 45 km signal spectrum is dominated by geoid height signal spectrum. The gaussian method is more simple and practical to use than Butterworth method. |
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