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AI & Geospatial Technology
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AI-Driven Ensemble Learning for Spatio-Temporal Rainfall Prediction in the Bengawan Solo River Watershed, Indonesia

Writer: Jumadi, Danardono, Efri Roziaty; Agus Ulinuha, Supari, Lam Kuok Choy, Farha Sattar, Muhammad Nawaz Reliable spatio-temporal rainfall prediction is a key element in disaster mitigation and

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AI & Geospatial Technology
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Correlation Analysis of Normalised Difference Built-Up Index (NDBI) and Land Surface Temperature (LST) from 2013 to 2023 Landsat 8 Imagery: A Case Study in Makassar City, Indonesia

Writer: Jumadi, Setiawan,I. N., Nawaz, M. and Sattar, F. Land use change dynamics exert a complex and varied impact on ecological factors. The expansion of

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AI & Geospatial Technology
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Spatio-Temporal Modeling for the Analysis of Hydrological Drought and its Impact on Rice Production in the Upper Bengawan Solo Basin, Central Java, Indonesia

Santhyami, Jumadi, Kuswaji Dwi Priyono, Triastuti Rahayu, Dewi Novita Sari, Murnira Othman, Rudiyanto Hydrological drought is a climate-induced disaster that directly impacts the agricultural sector,particularly

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