Title:
DEVICE AND METHOD FOR FORECASTING RISK OF SEASONAL WILDFIRE
Document Type and Number:
WIPO Patent Application WO/2023/200028
Kind Code:
A1
Abstract:
A device for forecasting the risk of seasonal wildfire, according to a preferred embodiment of the present invention, comprises: a processor; and a memory that stores a program executed by the processor, wherein the processor may use daily factors of a preset past period as training data to create a wildfire risk prediction model, on a monthly basis, that outputs fire weather index (FWI) values by inputting a set of climate factors, on the basis of a machine learning algorithm, and temporally and spatially analyzes fluctuation characteristics of the FWI values in a certain area through empirical orthogonal functions (EOF) analysis of the FWI values that are outputted through a plurality of wildfire risk prediction models that have been created on a monthly basis.
Inventors:
KWON CHUN GEUN (KR)
KIM SUNG YONG (KR)
SEO KYUNG WON (KR)
LEE SUN JOO (KR)
KIM SUNG YONG (KR)
SEO KYUNG WON (KR)
LEE SUN JOO (KR)
Application Number:
PCT/KR2022/005433
Publication Date:
October 19, 2023
Filing Date:
April 14, 2022
Export Citation:
Assignee:
NAT INST FOREST SCIENCE (KR)
International Classes:
G08B31/00; G06F30/27; G06N20/00; G06T5/00; G06V10/44; G08B17/00
Foreign References:
| KR20110023609A | 2011-03-08 |
Other References:
JEONG JI-YOON, SUNG-HO WOO, RACK-HUN SON, JIN-HO YOON, JEE-HOON JEONG, SUK-JUN LEE, BYUNG-DOO LEE: "Spring Forest-Fire Variability over Korea Associated with Large-Scale Climate Factors", ATMOSPHERE, vol. 28, no. 4, 1 January 2018 (2018-01-01), pages 457 - 467, XP093099687, ISSN: 1598-3560, DOI: 10.14191/Atmos.2018.28.4.457
CHAE KYOUNG-JAE, LEE YU-RI, CHO YONG-JU, PARK JI-HYUN: "Development of a Gangwon Province Forest Fire Prediction Model using Machine Learning and Sampling", THE KOREA JOURNAL OF BIGDATA, vol. 3, no. 2, 1 January 2018 (2018-01-01), pages 71 - 78, XP093099692, DOI: 10.36498/kbigdt.2018.3.2.71
SIM SEONGMUN, WOOHYEOK KIM, JAESE LEE, YOOJIN KANG, JUNGHO IM, CHUNGUEN KWON, SUNGYONG KIM: "Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches", KOREAN JOURNAL OF REMOTE SENSING, vol. 36, no. 5-3, 31 October 2020 (2020-10-31), pages 1109 - 1123, XP093099706, ISSN: 1225-6161, DOI: 10.7780/kjrs.2020.36.5.3.9
KIM YOUNG-MIN, HWANG MI-NYEONG, KIM TAEHONG, JEONG CHANG-HOO, JEONG DO-HEON: "Big data mining for natural disaster analysis", JOURNAL OF THE KOREAN DATA & INFORMATION SCIENCE SOCIETY, KOREA, vol. 26, no. 5, 30 September 2015 (2015-09-30), Korea, pages 1105 - 1115, XP093099715, ISSN: 1598-9402, DOI: 10.7465/jkdi.2015.26.5.1105
CHAE KYOUNG-JAE, LEE YU-RI, CHO YONG-JU, PARK JI-HYUN: "Development of a Gangwon Province Forest Fire Prediction Model using Machine Learning and Sampling", THE KOREA JOURNAL OF BIGDATA, vol. 3, no. 2, 1 January 2018 (2018-01-01), pages 71 - 78, XP093099692, DOI: 10.36498/kbigdt.2018.3.2.71
SIM SEONGMUN, WOOHYEOK KIM, JAESE LEE, YOOJIN KANG, JUNGHO IM, CHUNGUEN KWON, SUNGYONG KIM: "Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches", KOREAN JOURNAL OF REMOTE SENSING, vol. 36, no. 5-3, 31 October 2020 (2020-10-31), pages 1109 - 1123, XP093099706, ISSN: 1225-6161, DOI: 10.7780/kjrs.2020.36.5.3.9
KIM YOUNG-MIN, HWANG MI-NYEONG, KIM TAEHONG, JEONG CHANG-HOO, JEONG DO-HEON: "Big data mining for natural disaster analysis", JOURNAL OF THE KOREAN DATA & INFORMATION SCIENCE SOCIETY, KOREA, vol. 26, no. 5, 30 September 2015 (2015-09-30), Korea, pages 1105 - 1115, XP093099715, ISSN: 1598-9402, DOI: 10.7465/jkdi.2015.26.5.1105
Attorney, Agent or Firm:
WOOIN PATENT & LAW FIRM (KR)
Download PDF: