Spatio-Temporal Dynamics of Precipitation Anomalies in Southeast Asia: ENSO Influence and Machine Learning-Based Prediction
Inuwa S.S1*, Dimyati M.1, Masita D.M.M.1 and Hafid S.1

Department of Geography, Faculty of Mathematic and Natural Science, Universitas Indonesia

Abstract

Keywords: CHIRPS, ENSO, Google Earth Engine, Machine learning, Precipitation anomaly,

Topic: Topic C: Emerging Technologies in Remote Sensing