posted on 2020-03-18, 23:55authored byARIESTA LESTARI
Peatland wildfires frequently occurring in Central Kalimantan, Indonesia is a damaging environmental problem on a global scale. To alleviate the occurrence of peatland wildfires, it is important to ensure that hotspots do not escalate into wildfires in the first place. However, insufficient historical data has become a challenge in building a data-driven model of fire escalation in peatlands. This thesis proposes workflow to quantify the causal relationship amongst factors contributing to the peatland fire escalation. The result shows that automated predictive hotspot escalation model can be developed purely using a knowledge driven approach by engaging experts through workshops and surveys.
History
Campus location
Australia
Principal supervisor
Grace Widjaja Rumantir
Additional supervisor 1
Nigel Tapper
Year of Award
2019
Department, School or Centre
Information Technology (Monash University Caulfield)