Master of Arts (MA)
Geographic Information Science, GIS, Himalayas, Remote Sensing, Wildfire
Geography; Geographic information science and geodesy; Remote sensing
Wildfire regimes are a leading driver of global environmental change affecting diverse ecosystems across the planet. The objectives of this study was to model regional wildfire potential and identify environmental, topological, and sociological factors that contribute to the ignition of regional wildfire events in the Western Hindu Kush-Himalayas. The environmental, topological, and sociological factors were used to model regional wildfire potential through multi-criteria evaluation using a method of weighted linear combination. Moderate Resolution Imaging Spectroradiometer (MODIS) and geographic information systems (GIS) data were integrated to identify regional wildfire factors. Point pattern and inferential statistical analysis were used to analyze regional wildfire activity and evaluate the factors selected for the model.
Bylow, David, "Modeling Wildfire Hazard in the Western Hindu Kush-Himalayas" (2012). Master's Theses. 4126.