Investigation of Forest Fire Characteristics in North Korea Using Remote Sensing Data and GIS

Abstract

Forest fires cause damage to property and the environment around the world every year. North Korea has suffered from fires every year. Fires may lead to temporary or permanent damage to forest ecosystems, long-term site degradation, and alteration of hydrological regimes, producing detrimental impacts on economies, human health, and safety. In North Korea, fires cause serious damage to the affected mountainous environment. However, it is very difficult to obtain ground information or perform field checks because of the political isolation of North Korea. Thus, there are few studies that have investigated North Korean fires. In this situation, remote sensing techniques and digital topographic data can be used to investigate fire characteristics in North Korea. In this study, fire trends were analyzed using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the Land Processes Distributed Active Archive Center (LPDAAC) from 2004 to 2015, and Landsat data were processed to estimate burned areas in South Hamgyong Province (SHP) and Gangwon Province (GWP) in North Korea. The burn severity of large fires in elevation, slope, and landform features was also analyzed to investigate large fire-burned areas using 30-m-resolution Global Digital Elevation Model (DEM) data from the United States National Aeronautics and Space Administration (NASA). After the results were compared and discussed, the following conclusions were derived. (1) In terms of location, fires in SHP were relatively concentrated along BaekDu-DaeGan (BDDG), while fires in GWP were scattered throughout the province. (2) In terms of size, the large fire-burned areas with an area greater than 1000 ha are significantly more frequent in SHP than in GWP. In brief, large fires occurred more frequently and were more serious in SHP than in GWP. (3) In terms of forest type, coniferous areas were more susceptible to damage from fires and large fires than deciduous areas in both GWP and SHP. This is attributed to the combustible resin within the coniferous trees. Particularly, when a crown fire occurs, it tends to spread rapidly throughout the coniferous forest. (4) Regarding landforms, most large fires occurred along windward-side open slopes, while there were very few fires in shallow valleys, high ridges, or U-shaped valleys. It is believed that cultivation in high-elevation terrain and a lack of fire-extinguishing equipment and systems allow large fires to spread quickly. North Korea is very susceptible to large fire damage and must develop preparation measures against such situations.

Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset

“…Wildfires tend to be less severe in places with higher TWI values, while ignition, fire spread, and fire severity tend to be higher in areas with lower TWI values [143]. Wildfires are more likely to spread and be destructive on steep slopes because more material is needed to burn [181].…”

Remote Sensing applications for effective fire disaster management plans: A review

“…Geographic Information Systems (GIS) and Remote Sensing (RS) technology are important tools for studying these phenomena. In the literature, these tools have been widely used and have yielded good results in exploring different aspects of wildfires [9][10][11][12][13][14] .…”

Determinação Dos Usos E Cobertura Do Solo Com Sensibilidade Aos Eventos De Queimadas No Sertão E São Francisco De Pernambuco

“…Utilizou-se as imagens do sensor MODIS/TERRA, produto MOD14A1, que disponibiliza as Anomalias Térmicas/Incêndio em resolução espacial de 1 km e resolução temporal diária. Essas diferenciam os pixels em três classes: Fogo, Sem Fogo e Sem Observação (HAO et al, 2022;JIN;LEE, 2022). Fundamentado no confrontamento dessas imagens com os vetores de focos de calor do INPE, foram definidas as áreas de queima como aquelas onde ambas as informações coocorreram.…”