Development of Empirical CDOM Algorithm for Sentinel-2 Using the Gloria Dataset

Anisya Feby Efriana, Masita Dwi Mandini Manessa, Farida Ayu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Water quality is crucial for the long-term health of undersea biological ecosystems, including elements like Colored Dissolved Organic Matter (CDOM). Gathering field data to characterize CDOM is expensive and time-consuming. To address this, the optical aquatic research community has compiled the GLORIA dataset, which includes measurements of water quality indicators such as chlorophyll a, total suspended solids, absorption by dissolved substances, and Secchi depth. This dataset aids in routine monitoring of high-priority sites, algorithm development, and data validation. In this study, we employed the CDOM data from the GLORIA dataset to develop an empirical CDOM algorithm using Sentinel-2 imagery. The GLORIA dataset encompasses 7,572 stations globally, but for this study, only 92 stations were utilized to construct a tropical water CDOM algorithm. This algorithm was then calibrated with CDOM measurements from the Derawan Archipelago. The developed empirical algorithm is based on a random forest regression model. The algorithm, derived from the GLORIA dataset, demonstrated promising training data accuracy (RMSE = 0.42, R-Square = 0.37). However, the validation accuracy was lower (RMSE = 0.41, R-Square = 0.23), and the tests on the Derawan CDOM dataset indicated even poorer accuracy. These results highlight the challenges in developing a global CDOM algorithm based on multispectral imagery.

Original languageEnglish
Title of host publicationEighth Geoinformation Science Symposium 2023
Subtitle of host publicationGeoinformation Science for Sustainable Planet
EditorsAriel Blanco, Andi Besse Rimba, Chris Roelfsema, Sanjiwana Arjasakusuma
PublisherSPIE
ISBN (Electronic)9781510672697
DOIs
Publication statusPublished - 2024
Event8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet - Yogyakarta, Indonesia
Duration: 28 Aug 202330 Aug 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12977
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet
Country/TerritoryIndonesia
CityYogyakarta
Period28/08/2330/08/23

Keywords

  • CDOM
  • Derawan Archipelago
  • Development Algorithm
  • Gloria Dataset
  • Sentinel-2

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