Ariesta_Lestari-Final_Thesis.pdf (11.66 MB)
Download file

Knowledge-driven Development of Causal Model for Predicting Fire Hotspot Escalation in Central Kalimantan Peatlands

Download (11.66 MB)
thesis
posted on 18.03.2020, 23:55 authored by ARIESTA 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

Caulfield School of IT

Course

Doctor of Philosophy

Degree Type

DOCTORATE