Abstract

Matching spatial temporal data of forest fire with meteorological information
Track: Wildland Fire Management
Authors: Sol-E Choi, Hanbin Kwak, Kijun Nam, Taejin Park, Woo-Kyun Lee, Sunmin Park

This work is focused in matching forest fire data to meteorological factors which obtained by weather stations using Python script and IDW interpolation. The forest fire history which consists of specific point of fire location, occurred date, occurred time and reason was collected by Korea Forest Research Institute. The meteorological data was obtained by Korea Meteorological Administration. Firstly, meteorological data which includes temperature, relative humidity, precipitation and wind speed, was interpolated using IDW interpolation. In the case of temperature and precipitation, we considered the laps rate by altitude. Secondly, these data was extracted by forest fire point according to the spatial temporal information using extraction tools in ArcGIS. These processes were done by Python Script for automation.