Shallow Water Bathymetry Estimation with Landsat 8 Imagery: Band Ratio Application Method in Karimunjawa Waters, Central Jawa, Indonesia

https://doi.org/10.22146/jgise.107145

Luhur Moekti Prayogo(1*), Abdul Basith(2)

(1) Marine Science Study Program, Faculty of Fisheries and Marine, Universitas PGRI Ronggolawe Tuban, Tuban, Indonesia
(2) Department of Geodesy Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


Bathymetric data are essential for producing water-depth maps and supporting navigational safety. The Karimunjawa Islands were selected as the study area because they are characterized by shallow waters, complex coastal ecosystems, and active marine tourism and navigation activities that require accurate and up-to-date depth information. This study aimed to estimate shallow-water depth using Landsat 8 imagery with the band ratio method. The visible bands used in this study included blue, green, and red bands, with blue/red, green/red, and blue/green ratio combinations. Field-measured depth data were used as reference data to evaluate the bathymetric estimation results. The findings showed that the blue/red ratio produced the smallest depth difference within the 0–5 m depth range. The next best results were obtained from the green/red and blue/green ratios. The better performance of the blue/red ratio was likely influenced by local water conditions, in which the contrast between the blue band, which can penetrate the water column, and the red band, which attenuates more rapidly, was able to represent depth variations more effectively. However, this study was limited to the use of Landsat 8 imagery with a spatial resolution of 30 m, selected visible-band combinations, and did not examine in detail the effects of bottom substrate variation and water quality. The accuracy of the estimation also decreased with increasing depth. Therefore, the best band combination for shallow-water bathymetric estimation may vary depending on water conditions, bottom characteristics, image quality, and processing methods, so the results of this study cannot be directly generalized to all aquatic areas.


Keywords


Bathymetry, Satellite-Derived Bathymetry , Landsat 8, Band Ratio, Karimunjawa

Full Text:

PDF


References

Bobsaid, M. W., & Jaelani, L. M. (2017). Shallow Waters Bathymetry Mapping Study Using Landsat 8 and Sentinel-2A Satellite Imagery (Case Study: Waters of Poteran and Gili Iyang Islands, Madura). ITS Engineering Journal, 6, 564–569. https://doi.org/10.12962/j23373539.v6i2.24182

Danoedoro, P. (2012). Introduction to Digital Remote Sensing. In Benedicta Rini W (Ed.), ANDI Publisher (1st ed.). Publisher ANDI.

Febrianto, T., Hestirianoto, T., & Agus, S. B. (2015). Bathymetric mapping in the shallow waters of Tunda Island, Serang, Banten using a singlebeam echosounder. Journal of Fisheries and Marine Technology, 6(2), 139–147. https://doi.org/10.24319/jtpk.6.139-147

Gao, J. (2009). Bathymetric mapping by means of remote sensing: Methods, accuracy and limitations. Progress in Physical Geography, 33(1), 103–116. https://doi.org/10.1177/0309133309105657

Geurhaneu, N. Y., & Susantoro, T. M. (2020). ANALYSIS OF LANDSAT 8 OIL CHANNELS FOR BATHYMETRIC MAPPING AROUND PUTRI ISLAND, BATAM CITY. JOURNAL OF MARINE GEOLOGY, 18(1), 11–22.

Green, E. P., Mumby, P. J., Edwards, A. J., & Clark, C. D. (2000). Remote Sensing Handbook for Tropical Coastal Management. In A. J. Edwards (Ed.), Coastal Management Sourcebooks 3. https://doi.org/doi: 10.1109/6.367967

Haris, H. M. (2017). Estimation of shallow water depth using Landsat-8 satellite imagery data (Case Study: Shallow Waters of Dringu District, Probolinggo Regency) (pp. 1–69). Brawijaya University.

Harsono, G. (2020). Blue Economy-Based Hydrography: A Selection of Essays. Pandiva Books.

Hidayat, A., Sudarsono, B., & Sasmito, B. (2014). Bathymetry survey to check the depth of waters in the Kendal Port area. Journal of Undip Geodesy, 3(1), 198–210.

Jamil, F. (2020). Shallow water bathymetric mapping using Sentinel-2A and Landsat 8 satellite imagery (Case Study: Temajuk Waters, West Kalimantan) (pp. 1–90). Brawijaya University.

Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2004). Remote sensing and image interpretation. In Nev York Chichester Brisbane Toronto 6IS s.

Lyzenga, D. R. (1985). Shallow-water bathymetry using combined lidar and passive multispectral scanner data. International Journal of Remote Sensing, 6, 15–125. https://doi.org/10.1080/01431168508948428

Mather, P. M. (2004). Computer Processing of Remotely Sensed Data: An Introduction (John Wiley and Sons. (ed.); 3rd editio). Brisbane.

Mukhtar, S. A., Handoyo, G., & Setiyono, H. (2024). Bathymetric and tidal studies for shipping channel recommendations at Marunda Port Pier. Indonesian Journal of Oceanography, 6(4), 375–382.

Prayogo, L. M., & Basith, A. (2020). Worldview 3 and Sentinel 2A Image Performance Test for Shallow Sea Depth Mapping (Case Study in Karimunjawa Islands, Central Java). JGISE: Journal of Geospatial Information Science and Engineering, 3(2), 161–167. https://doi.org/https://doi.org/10.22146/jgise.59572

Putri, J. C. A. (2017). Analysis of Landsat 8 Satellite Imagery Capability to Detect Depth of Waters Case Study: Bangsring Waters, Banyuwangi (pp. 1–60). Brawijaya University.

Stumpf, R. P., Holderied, K., & Sinclair, M. (2003). Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnology and Oceanography, 48, 547–556. https://doi.org/10.4319/lo.2003.48.1_part_2.0547

United States Geological Survey (USGS). (2020). Landsat Satellite Missions. https://www.usgs.gov/core-science-systems/nli/landsat/landsat-satellite-missions?qt-science_support_page_related_con=0#qt-science_support_page_related_con

USGS. (2020). Landsat 8 Imagery. U.S. Department of the Interior. https://www.usgs.gov/

Wicaksono, P. (2010). Integrated model of water column correction technique for improving satellite-based benthic habitat mapping. In Universitas Gadjah Mada, Yogyakarta. Universitas Gadjah Mada.

Wicaksono, P. (2015). Comparison of Accuracy of Single Band and Band Ratio Methods in Pythmetry Mapping in Optical Shallow Seas. 802–810.



DOI: https://doi.org/10.22146/jgise.107145

Article Metrics

Abstract views : 20 | views : 31

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Journal of Geospatial Information Science and Engineering (JGISE) ISSN: 2623-1182 (Online)  Email: jgise.ft@ugm.ac.id Creative Commons License The Contents of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.