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Proceedings of the 6th International Conference on Law, Social Sciences and Education, ICLSSE 2024, 17 October 2024, Singaraja, Bali, Indonesia

Research Article

Dynamics of Lake Beratan Area Changes Due to Sedimentation Using Remote Sensing Imagery

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  • @INPROCEEDINGS{10.4108/eai.17-10-2024.2353689,
        author={Dewa Made Atmaja and I Gede Yudi Wisnawa and Wayan Damar Windu Kurniawan and I Gst Ngr Yoga Jayantara},
        title={Dynamics of Lake Beratan Area Changes Due to Sedimentation Using Remote Sensing Imagery},
        proceedings={Proceedings of the 6th International Conference on Law, Social Sciences and Education, ICLSSE 2024, 17 October 2024, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICLSSE},
        year={2024},
        month={12},
        keywords={landsat visual interpretation digitizing lake beratan area},
        doi={10.4108/eai.17-10-2024.2353689}
    }
    
  • Dewa Made Atmaja
    I Gede Yudi Wisnawa
    Wayan Damar Windu Kurniawan
    I Gst Ngr Yoga Jayantara
    Year: 2024
    Dynamics of Lake Beratan Area Changes Due to Sedimentation Using Remote Sensing Imagery
    ICLSSE
    EAI
    DOI: 10.4108/eai.17-10-2024.2353689
Dewa Made Atmaja1,*, I Gede Yudi Wisnawa1, Wayan Damar Windu Kurniawan1, I Gst Ngr Yoga Jayantara1
  • 1: Universitas Pendidikan Ganesha
*Contact email: made.atmaja@undiksha.ac.id

Abstract

The dynamics of the area of Lake Beratan is important to know the impact of population development and changes in land use changes that occur around the lake. In addition, sedimentation originating from river flows and household waste is a concern which can cause silting and pollution of Lake Berata water. Therefore, the aim of this research is to monitor the area of Lake Beratan periodically using a fast and efficient method. The method used to support this is remote sensing technology, especially through visual interpretation by paying attention to the key elements of interpretation and digitizing it on screen. The results show that there are differences in areas from 1990, 2000, 2010 and 2020. The largest area obtained when digitized in 2010 was 377.42 hectares and the smallest area in 2020 was 363.98 ha. The entire digitization process cannot be separated from knowledge of interpretation in digitization and recognizing the conditions of the Beratan Lake area. Based on this, it is possible for remote sensing imagery to be used in monitoring lake area manually and to obtain more accurate results of course combined with color composite analysis.

Keywords
landsat visual interpretation digitizing lake beratan area
Published
2024-12-12
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-10-2024.2353689
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