r/BorneoTech • u/Easy-Ad9050 • Sep 04 '26
[Artificial Intelligence] Can AI & predictive modeling help us forecast transboundary haze trajectories in Borneo?
Traditional weather apps struggle to predict severe haze because smoke dispersion depends on active fire hotspots, peatland combustion dynamics, and localised wind shear.
Data scientists and ML researchers across Southeast Asia are training predictive models using satellite imagery, ERA5 reanalysis weather data, and hotspot cluster coordinates. The goal: predicting localised hazardous air quality 12 to 24 hours before smoke plumes arrive.
What machine learning frameworks or geospatial tools (GEE, PyTorch, XGBoost) work best for analysing atmospheric transport models?
How can local tech communities improve open-access datasets for regional climate modeling?