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A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency File File

Kang, Yoojin , Jang, Eunna , Im, Jungho , Kwon, Chungeun

Article Issue Date2022-11 View64
Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea File File

Jang, Eunna , Kang, Yoojin , Im, Jungho , Lee, Dong-Won , Yoon, Jongmin , Kim, Sang-Kyun

Article Issue Date2019-02 View41
Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin File

Kim, Byeongcheol , Lee, Kyungil , Park, Seonyoung , Im, Jungho

Article Issue Date2022-10 View61
Levels and patterns of polycyclic aromatic hydrocarbons (PAHs) in soils after forest fires in South Korea File

Kim, Eun Jung , Choi, Sung-Deuk , Chang, Yoon-Seok

Article Issue Date2011-11 View57
Understanding the fate of polycyclic aromatic hydrocarbons at a forest fire site using a conceptual model based on field monitoring File

Simon, Erwan , Choi, Sung-Deuk , Park, Min-Kyu

Article Issue Date2016-11 View82
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