The waters of Lancang Island, located north of Jakarta, Indonesia, are one of the active areas for fishing and maritime transport and have several estuaries. Surveillance activities require remote sensing data, one of which is Sentinel 3 data. The Sentinel 3 has an instrument called the Ocean and Land Color Instrument (OLCI), an imaging spectrometer that measures solar radiation reflected from the Earth. This feature makes the Sentinel 3 OLCI an alternative for underwater water quality monitoring. This study describes validating Sentinel 3 OLCI chlorophyll-a information in Lancang Island, Indonesia. The data used are Sentinel 3 OLCI Level 1 data processed by the CR2CC processor and validated using the coefficient of determination, root means square error (RMSE), and normalized mean bias (NMB) calculations. Chlorophyll concentrations were validated with in situ data. The coefficient of determination was 0.78, RMSE was 5.3, and MNB was 44.4%. The Sentinel 3 OLCI was excellent at extracting chlorophyll information for the waters of Lancang Island.


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    Titel :

    Validation of Sentinel 3 OLCI chlorophyll-a information in Lancang Island, Indonesia


    Beteiligte:
    Afgatiani, Pingkan Mayestika (Autor:in) / Budhiman, Syarif (Autor:in) / Herdanis, Chatra (Autor:in) / Parwati, Ety (Autor:in) / Supriyono, Achmad (Autor:in) / Septanto, Harry (Herausgeber:in) / Adhynugraha, Muhammad Ilham (Herausgeber:in) / Vetrita, Yenni (Herausgeber:in) / Santosa, Cahya Edi (Herausgeber:in) / Sitompul, Peberlin Parulian (Herausgeber:in)

    Kongress:

    THE 9TH INTERNATIONAL SEMINAR ON AEROSPACE SCIENCE AND TECHNOLOGY – ISAST 2022 ; 2022 ; Bogor, Indonesia


    Erschienen in:

    Erscheinungsdatum :

    11.12.2023


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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