Garavig Tanaksaranond. Study of active fire evolution in northern Thailand using Kernel Density Estimation (KDE). (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2564.
Study of active fire evolution in northern Thailand using Kernel Density Estimation (KDE)
Abstract:
Biomass burning is one of the major causes of air pollution in Northern part of Thailand releasing toxic compounds
especially particulate matters causing adverse health effects, socio-economic impacts, and poor visibility. Patterns and causes
of biomass burning remain unclear especially within the reserved forest areas, where thoroughly field survey is almost
impossible. Currently, active fires can be near real-time monitored by satellites, mainly from Moderate Resolution Imaging
Spectroradiometer (MODIS) and a newer system called Visible Infrared Imaging Radiometer Suite (VIIRS) which can provide
better resolution on both time and space. In this paper, Space-Time Kernel Density Estimation (ST-KDE) was used to analyze
historical active fire data from VIIRS during 1th December 2019 and 4th April 2020. The algorithm can reveal possible dense
areas as well as frame periods and temporal dynamic of the fire. The 3D space-time visualization of the result allows users to
compare between different time so it can reveal the spatial change of active fire areas especially how small areas built up
larger areas. Possible ignition areas can also be identified. The comparison of the results with news and field surveys collected
from the government was also reported. The information is useful for fire prevention and fire forecasting
King Mongkut's University of Technology North Bangkok. Central Library