Spatiotemporal mapping of inundation area at Lake Limboto in Gorontalo, Indonesia, using cloud computing technology

• Autorzy: Lahay Rakhmat Jaya , Koem Syahrizal

Identyfikatory

DOI

10.24425/jwld.2021.139940

• Języki publikacji: EN

Abstrakty

EN

Monitoring activities on the dynamics of water shrinkage at Lake Limboto are essential to the lake’s ecosystem’s recovery. A remote sensing technology functions to monitor the dynamics of lake inundation area; this allows one to produce a comprehensive set of spatial and temporal data. Such complex satellite dataset demands extra time, greater storage resources, and greater computing capacity. The Google Earth Engine platform emerges as the alternative to tackle such problems. The present study aims to explore the capability of Google Earth Engine in formulating spatial and temporal maps of the inundation area at Lake Limboto. A total of 345 scenes of Landsat image on the study area (available during the period of 1989–2019) were involved in generating a quick inundation area map of the lake. The whole processes (pre-processing, processing, analysing, and evaluating) were automatized by using the Google Earth Engine interface. The evaluation of mapping result accuracy indicated that the average score of F1-score and Intersection over Union (IoU) was at 0.88 and 0.91, respectively. Moreover, the mapping results of the lake’s inundation area from 1989 to 2019 showed that the inundation area tended to decrease significantly in size over time. During the period, the lake’s area also shrank from 3023.8 ha in 1989 to 1275.0 ha in 2019. All in all, the spatiotemporal information about the changes in lake area may be treated as a reference for decision-making processes of lake management in the future.

Słowa kluczowe

EN

Google Earth Engine; Lake Limboto; lake shrinkage; Landsat; remote sensing; water index

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2022
• Tom: no. 52
• Strony: 27--33
• Opis fizyczny: Bibliogr. 45 poz., rys., tab., wykr.

Twórcy

autor

Lahay Rakhmat Jaya

• Universitas Negeri Gorontalo, Department of Earth Science and Technology, B.J Habibie Street, Bone Bolango, 96183, Gorontalo, Indonesia

• https://orcid.org/0000-0001-6507-5722

autor

Koem Syahrizal

• Universitas Negeri Gorontalo, Department of Earth Science and Technology, B.J Habibie Street, Bone Bolango, 96183, Gorontalo, Indonesia

• https://orcid.org/0000-0002-9243-7212

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).