TSS (Total Suspended Soil) Analysis Using GEE (Google Earth Engine) Cloud Technology In Sibolga Waters
The TSS research using GEE Cloud Technology in Sibolga Waters was carried out from February to April 2021, Mey to July 2021, August to October 2021, and October to December 2021. The analysis was carried out using the Sentinel-2 Satellite. TSS results showed that the highest amount was 60-120 mg/liter and the lowest was 0-60 mg/l. The content of TSS is spread evenly around the edge of the Sibolga coast to the Middle of Sibolga Waters and has passed the quality standard limit according to the Minister of Environment of the Republic of Indonesia which means the Sibolga Water area is polluted and improper for drinking water as well as for fish cultivation. The result has been seasonal influence can determine the direction of the TSS distribution pattern, both tidal factors and weather conditions such as rain and dry season. The side effect on the TSS distribution pattern in Sibolga Waters causes the TSS value at high tide to be higher than at low tide. Sentinel-2 TOA Reflectance Data imagery can be used to map the TSS distribution pattern in the Sibolga Waters area.
Bae, H. K. 2013. Changes in the river’s water quality responded to rainfall events. Environment and Ecology Research, 1(1), pp. 21–25.
Chen, J., W. Zhu, Y. Q. Tian, Y. Zheng & L. Huang. 2017. Remote estimation of colored dissolved organic matter and chlorophyll-a in Lake Huron using Sentinel-2 measurements. Journal of Applied Remote Sensing 11(3): 036007-1-036007–036015.
Effendi, H. 2003. Review of water quality, for management of aquatic resources and environment. Kanisius.
ESA. 2015. Microbial Adaptation, Sentinel-2 User Handbook. European Space Agency. doi:10.1021/ie51400a018.
Gu, Y. G., & Y. P. Gao. 2019. An unconstrained ordination- and GIS-based approach for identifying anthropogenic sources of heavy metal pollution in marine sediments. Marine Pollution Bulletin 146: 100–105.
Hua, A. K. 2017. Identifying the source of pollutants in the Malacca River using the GIS approach. Applied Ecology and Environmental Research 15(4): 571–588.
Jiya., Sudarsono, B., Sukmono, A. 2017. Study of the Distribution of Total Suspended Solid (TSS) in the Coastal Waters of Demak Regency Using Landsat Imagery. Journal of Geodesy UNDIP. January 2017. 1-7 p.
Juliasih, N. L. G. R., D. Hidayat, M. P. Ersa, & Rinawati. 2017. Determination of Nitrite and Nitrate Levels in Lampung Bay Waters as an Indicator of Water Environmental Quality. Analytical and Environmental Chemistry 2(2): 47–56.
Kamal, A. N., N. S. Muhammad, & J, Abdullah. 2020. Scenario-based pollution discharge simulations and mapping using integrated QUAL2K-GIS. Environmental Pollution 259 (113909): 1-10.
Kamara, S. M. 2019. Integration of GIS in the Development of an Environmental Cadastre Administrative System for the Environment Protection Agency Sierra Leone. Journal of Geographic Information System 11: 411–428.
Khairul. 2017. Study of Aquatic Physicochemical Factors on Aquatic Biota in the Belawan River Ecosystem. Proceedings of the Multidisciplinary National Seminar on Science UNA 2017:1132–1140.
Liu, H., Li, Q., Shi, T., Hu, S., Wu, G., Zhou, Q. 2017. Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake’, Remote Sensing, 9(7), p. 761. doi 10.3390/rs9070761.
Mir, A., J. Piri & O. Kisi. 2017. Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics. Computers and Electronics in Agriculture 135: 38–50.
Nasrabadi, T., H. Ruegner, Z. Z. Sirdari, M. Schwientek & P. Grathwohl. 2016. Using total suspended solids (TSS) and turbidity as proxies for evaluation of metal transport in river water. Applied Geochemistry 68: 1–9.
Qanita, H., S. Subiyanto & H. Hani’ah. 2019. Distribution Analysis of Total Suspended Soil and Chlorophyll-a Content in West Semarang Flood Canal Waters using Landsat 8 and Sentinel-2A Imagery. UNDIP Geodetic Journal 8(1) : 435–445.
Saberioon, M., J. Brom, V. Nedbal, P. Souc̆ek & P. Císar̆. 2020. Chlorophyll-a and total suspended solids retrieval and mapping using Sentinel-2A and machine learning for inland waters. Ecological Indicators 113(106236): 1-11.
Copyright (c) 2023 Journal of Applied Geospatial Information
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright @2023. This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Copyrights of all materials published in JAGI are freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.