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NTIS 바로가기지적과 국토정보 = Journal of cadastre & land informatix, v.52 no.1, 2022년, pp.95 - 104
This study aims to find the exact area of the forest fire in Okgye-myeon, Gangneung, April 4, 2019. Since there is a gradient in our country's forests, we should find a surface area that takes into account The 5th numerical clinical map provided by the DEM and the Korea Forest Service provided by th...
Kim NI, Lee YW, 2020. Active Fire Detection Using Landsat 8 OLI Images. A Case of 2019 Australia Fires. Korean Journal of Remote Sensing. 36(5): 775-784.
Kim SI, Ahn DS, Kim SC. 2021. RGB Composite Technique for Post Wildfire Vegetation Monitoring Using Sentinel-2 Satellite Data. Korean Journal of Remote Sensing. 37(5): 939~946.
Kim JS, Oh JS. 2021. Recoverability analysis of Forest Fire Area Based on Satellite Imagery: Applicationsto DMZ in the Western Imjin Estuary. Journal of Korean Geomorphological Association. 28(1): 83~99.
Kim DW, Chung WD, Lee BD. 2016. Exploring Tree Crown Spacing and Slope Interaction Effects on Fire Behavior with a Physics-based Fre Model. Forest Science and Technology. 12(4): 167-175.
Ryu JH, Kim SH, Yoo BO, Kim JC, Seo SA, Kim JS. 2011. Production of the 5th Clinical Diagram Using DB Data from Aerial Photographs. Korea Forest Research Institute. 11-1400377-000449-01
Shin Jl, Seo WW, Kim TJ, Woo CS, Park JW. 2019. Analysis of Availability of High-resolution Satellite and UAV Multispectral Images for Forest Burn Severity Classification. Korean Journal of Remote Sensing. 35(6):1095-1106.
Yun WK, Song YJ, Moon JS, Jang SJ, Yoo SJ, 2019. Deep Learning Based Temperature Sensor Data and Wildfire Propagation Prediction in Duty Cycled Wireless Seonsor Network. The Journal of Korean Institute of Communications and Information Science 44(6):1092-1104.
Youn HG, Jeong JC. 2020. Classification of Forest Fire Damage Grade Using Machine Learning and Sentinel-2. The Korea Spatial Planning Review. 106: 107-117.
Lee SM, Jeong JC. 2019. Forest Fire Severity Classification Using Probability Density Function and KOMPSAT-3A. Korean Journal of Remote Sensing. 35(6):1341-1350.
Won MS, Jang KC, Yoon SH, Lee HT. 2019. Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019. Korean Journal of Remote Sensing. 35(6):1083-1093.
Lee JP. 2021.Quality Assessment of Digital Surface Model Vertical Position Accuracies. Journal of Cadastre & Land InformatiX. 51(1):125-136.
Jeong JC, Youn HJ. 2020. Region of Interest (ROI) Selection of Land Cover Using SVM Cross Validation. Journal of Cadastre & Land InformatiX. 50(1):75-85.
Cho KH, Jeong JC. 2018. Automatic selection method of ROI(region of interest) using land cover spatial data. Journal of Cadastre & Land InformatiX. 48(2):171-183.
Akay A. Erdogan A. 2017. GIS-BASED MultiCriteria Decision Analysis For Forest Fire Risk Mapping. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. IV-4/W4. 25-30.
Estes B, Knapp E, Skinner C, Miller J, Preisler H. 2017. Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA. Ecosphere. 8.
Fang L, Yang J, White M, Liu Z. 2018. Predicting Potential Fire Severity Using Vegetation, Topography and Surface Moisture Availability in a Eurasian Boreal Forest Landscape. Forests. 9.
Paula F, Holobaca I. 2013. Forest fires study using remote sensing and meteorological indicators. Case study. Geographia Technica. 8:23-37.
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