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Unveiling climate-driven water surface dynamics in the largest tropical lake in Borneo:A machine learning approach using multi-source satellite imagery

Mohamad Rifai Harintaka

Artificial Intelligence in Geosciences2025,Vol.6Issue(2):P.398-411,14.
Artificial Intelligence in Geosciences2025,Vol.6Issue(2):P.398-411,14.DOI:10.1016/j.aiig.2025.100166

Unveiling climate-driven water surface dynamics in the largest tropical lake in Borneo:A machine learning approach using multi-source satellite imagery

Mohamad Rifai 1Harintaka2

作者信息

  • 1. Master of Geomatics Engineering,Department of Geodetic Engineering,Universitas Gadjah Mada,Jl.Grafika No.2,Bulaksumur,Yogyakarta,55281,Indonesia Directorate General of Water Resources,Ministry of Public Works,Indonesia
  • 2. Master of Geomatics Engineering,Department of Geodetic Engineering,Universitas Gadjah Mada,Jl.Grafika No.2,Bulaksumur,Yogyakarta,55281,Indonesia
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摘要

关键词

Water surface dynamics/Lake monitoring/Gradient tree boosting/GEE

分类

天文与地球科学

引用本文复制引用

Mohamad Rifai,Harintaka..Unveiling climate-driven water surface dynamics in the largest tropical lake in Borneo:A machine learning approach using multi-source satellite imagery[J].Artificial Intelligence in Geosciences,2025,6(2):P.398-411,14.

Artificial Intelligence in Geosciences

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