Abstract
Forest fires are a major natural disaster that destroys a forest area and a natural environment. In order to minimize the damage caused by the forest fire, it is necessary to know the location and the time of day and continuous monitoring is required until fire is fully put out. We have tried to improve the forest fire detection algorithm by using a method to reduce the variability of surrounding pixels. We focused that forest areas of East Asia, part of the Himawari-8 AHI coverage, are mostly located in mountainous areas. The proposed method was applied to the forest fire detection in Samcheok city, Korea on May 6 to 10, 2017.
| Original language | English |
|---|---|
| Pages (from-to) | 1353-1354 |
| Number of pages | 2 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 42 |
| Issue number | 3 |
| DOIs | |
| State | Published - 30 Apr 2018 |
| Event | 2018 ISPRS TC III Mid-Term Symposium on Developments, Technologies and Applications in Remote Sensing - Beijing, China Duration: 7 May 2018 → 10 May 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Brightness temperature lapse rate
- Forest fire
- Height correction
- Himawari-8
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