Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)

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Reservoir’s Water Quality Assessment Through Trophic State Model Using Multispectral Remote Sensing Data

Authors
Wenang Anurogo1, *, Muhammad Z. Lubis1, 2, Muhammad Ghazali1, 2, Tasya Kesuma1, Raden R. A. D. Retno2
1Politeknik Negeri Batam, Batam, Indonesia
2Universitas Mahakarya Asia Yogyakarta, Yogyakarta, Indonesia
*Corresponding author. Email: wenang@polibatam.ac.id
Corresponding Author
Wenang Anurogo
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_23How to use a DOI?
Keywords
TSI; Trophic Status; Water Quality; Remote Sensing Data
Abstract

Duriangkang Reservoir is a reservoir located in Muka Kuning Village, Tanjung Piayu, Sei Beduk Subdistrict which was built in 1990 and operated in 2001. Duringkang has the main function as the main source of clean water for the people of Batam. This study aims to determine the parameters obtained by using Landsat 8 OLI Imagery to assess the trophic status of the Duriangkang Reservoir and obtain distribution distribution data that has been generated in the process by using the calculation of the Trophic State Index (TSI) from Carlson. The results showed that Landsat-8 OLI imagery can be used as a predictor to extract parameters determining the trophic status of waters and Landsat 8 OLI imagery has the ability to map the distribution of brightness parameters very well (R2 = 0.8812) and total phosphorus quite well (R2 = 0.3829) in Duriangkang Reservoir. The distribution of trophic status in the Duriangkang Reservoir consists of 2 status classes Ultraoligotrophic and Oligotrophic. The Root Mean Squared Error (RMSE) of the brightness is 0.67 m and the RMSE of total phosphorus is 1,11 µg/L.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series
Advances in Biological Sciences Research
Publication Date
22 May 2023
ISBN
978-94-6463-122-7
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_23How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wenang Anurogo
AU  - Muhammad Z. Lubis
AU  - Muhammad Ghazali
AU  - Tasya Kesuma
AU  - Raden R. A. D. Retno
PY  - 2023
DA  - 2023/05/22
TI  - Reservoir’s Water Quality Assessment Through Trophic State Model Using Multispectral Remote Sensing Data
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 258
EP  - 268
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_23
DO  - 10.2991/978-94-6463-122-7_23
ID  - Anurogo2023
ER  -