All Issue

2026 Vol.36, Issue 1 Preview Page

Research Article

31 March 2026. pp. 75-84
Abstract
References
1

Gao, B., Jia, W., Wang, Q., Yang, G., 2025, All-weather forest fire automatic monitoring and early warning application based on multi-source remote sensing data: Case study of Yunnan, Fire, 8(9), 344.

10.3390/fire8090344
2

Guiop-Servan, R.E., Cotrina-Sanchez, A., Puerta-Culqui, J., Oliva-Cruz, M., Barboza, E., 2025, Remote sensing for wildfire mapping: A comprehensive review of advances, platforms, and algorithms, Fire, 8(8), 316.

10.3390/fire8080316
3

Jeong, J.C., Son, J.H., 2025, Analysis of Andong wildfire extent using Random Forest and forest type map, Journal of Cadastre and Land Information, 55(1), 157-171 (in Korean with English abstract).

10.22640/LXSIRI.2025.55.1.157
4

KFS (Korea Forest Service), 2025, Wildfire damage statistics database (2015–2024), Retrieved from https://www.forest.go.kr (in Korean).

5

Kim, B.C., Lee, K.I., Park, S.Y., Im, J.H., 2022, Forest burned area detection using Landsat 8/9 and Sentinel-2 A/B imagery with various indices: A case study of Uljin, Korean Journal of Remote Sensing, 38(5-2), 765-779 (in Korean with English abstract).

10.7780/kjrs.2022.38.5.2.9
6

Lee, S.D., Park, G.S., Oh, C.H., Cho, B.G., Yu, B.H., 2024, Determination of fire severity and deduction of influence factors through Landsat-8 satellite image analysis - A case study of Gangneung and Donghae forest fires -, Korean Journal of Environment and Ecology, 38(3), 277-292 (in Korean with English abstract).

10.13047/KJEE.2024.38.3.277
7

Lee, S.J., Kim, K.J., Kim, Y.H., Kim, J.W., Lee, Y.W., 2017, Development of FBI(Fire Burn Index) for Sentinel-2 images and an experiment for detection of burned areas in Korea, Journal of the Association of Korean Photo-Geographers, 27(4), 187-202 (in Korean with English abstract).

10.35149/jakpg.2017.27.4.012
8

Nam, K., Kim, J., Lee, C.J., Jeong, G.C., 2024, GeoAI-based forest fire susceptibility assessment with integration of forest and soil digital map data, The Journal of Engineering Geology, 34(1), 107-115.

10.9720/KSEG.2024.1.107
9

Sim, S.M., Kim, W.H., Lee, J.S., Kang, Y.J., Im, J.H., Kwon, C.G., Kim, S.Y., 2020, Wildfire severity mapping using Sentinel satellite data based on machine learning approaches, Korean Journal of Remote Sensing, 36(5-3), 1109-1123 (in Korean with English abstract).

10.7780/kjrs.2020.36.5.3.9
10

Tran, A., Tran, M., Marti, E., Cothren, J., Rainwater, C., Eksioglu, S., Le, N., 2025, Land8Fire: A complete study on wildfire segmentation through comprehensive review, human-annotated multispectral dataset, and extensive benchmarking, Remote Sensing, 17(16), 2776.

10.3390/rs17162776
11

Youn, H.J., Jeong, J.C., 2019, Detection of forest fire and NBR mis-classified pixel using multi-temporal Sentinel-2A images, Korean Journal of Remote Sensing, 35(6-2), 1107-1115 (in Korean with English abstract).

10.7780/kjrs.2019.35.6.2.7
Information
  • Publisher :Korean Society of Engineering Geology
  • Publisher(Ko) :대한지질공학회
  • Journal Title :The Journal of Engineering Geology
  • Journal Title(Ko) :지질공학
  • Volume : 36
  • No :1
  • Pages :75-84
  • Received Date : 2026-02-03
  • Revised Date : 2026-03-03
  • Accepted Date : 2026-03-04