AI & Geospatial Technology

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

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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 water resource management in dynamic tropical regions such as the Bengawan Solo River Watershed. However, high climate variability and data limitations often pose significant challenges to the accuracy of conventional … Read more

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

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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 metropolitan areas and developed land induces numerous environmental issues, notably a rise in Land Surface Temperature (LST). The correlation between built-up area and LST is crucial for comprehending the urban … Read more

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

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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 rice production. This study aims to model drought in a spatial-temporal context and analyseits impact on rice production in the Upper Bengawan Solo River Basin, Central Java, Indonesia, overthe period … Read more