Setiawan, Kuncoro Teguh and Ginting, Devica Natalia B.R. and Manessa, Masita D.M. and Surahman, Surahman and Winarso, Gathot and Anggraini, Nanin and Basith, Abdul and Asriningrum, Wikanti and Rosid, Syamsu and Supardjo, A. Harsono (2020) Bathymetry extraction of empirical models using SPOT 7 satellite imagery. In: 5th International Conferences of Indonesian Society for Remote Sensing, ICOIRS 2019 and and Indonesian Society for Remote Sensing Congress, 17 September 2019, Bandung, West Java.
![[thumbnail of Setiawan_2020_IOP_Conf._Ser.__Earth_Environ._Sci._500_012063.pdf]](https://ir.lib.ugm.ac.id/style/images/fileicons/text.png)
Setiawan_2020_IOP_Conf._Ser.__Earth_Environ._Sci._500_012063.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
Abstract
Bathymetry is information on the depth of the sea that can describe the hydrographic conditions of the seabed. Satellite derived bathymetry has several methods that can be applied to the batimetric extraction process using optical satellite images. One of the satellite images that can be used is SPOT 7. The image is the latest generation of SPOT which has 4 multispectral channels with a spatial resolution of 6 meters so that it can be extracted to obtain information on shallow water bathymetry. The bathymetry extraction method uses the Van Hengel and Spitzer methods, 1991. The VS method is the principal component analysis method of three bands with respect to the rotation transformation factor. The purpose of this study is to extract SPOT 7 satellite image data to produce relative bathymetry information in shallow seas using the VS algorithm. The location of the study was carried out on Karimunjawa Island, Jepara Regency, Central Java. The data used is SPOT 7 imagery that was acquired May 18, 2017. The extraction algorithm is used the VS 1991 method. The results show that from SPOT 7 images produce depth index values ranging from 0.0985 to 0.6378.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Library Dosen |
Uncontrolled Keywords: | Bathymetry; Extraction; Remote sensing; Satellite imagery; Extraction algorithms; Extraction process; Hydrographic conditions; Optical satellite images; Principal component analysis method; Rotation transformation; Satellite image datas; Shallow water bathymetry; Image processing |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
Divisions: | Faculty of Engineering > Geological Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 12 Feb 2025 00:48 |
Last Modified: | 12 Feb 2025 00:48 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/14251 |