Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting

Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting

Rainfall forecasts are essential for human activities enabling communities to anticipate any impacts. Rainfall events correlate with other natural and hydro-meteorological phenomena, which can be used in modeling and prediction. This study used daily CHIRPS for the Gajahwong watershed in Yogyakarta,...

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Bibliographic Details
Main Authors: Bambang Kun Cahyono, Muhammad Hidayatul Ummah, Ruli Andaru, Neil Andika, Adjie Pamungkas, Hepi Hapsari Handayani, Paramita Atmodiwirjo, Rory Nathan
Format: Article
Language:English
Published: Komunitas Ilmuwan dan Profesional Muslim Indonesia 2025-07-01
Series:Communications in Science and Technology
Subjects:
precipitation prediction
rainfall forecast
gajahwong river
hydro-meteorological big data
machine learning
Online Access:https://cst.kipmi.or.id/journal/article/view/1638
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