Title:
FOREST FIRE RISK FORECAST METHOD USING ARTIFICIAL SATELLITE DATA
Document Type and Number:
WIPO Patent Application WO/2021/194165
Kind Code:
A1
Abstract:
Disclosed is a forest fire risk forecast method using artificial satellite data. According to one aspect of the present invention, provided is a forest fire risk forecast method using artificial satellite data, which is implemented on a processor, the forest fire risk forecast method using artificial satellite data comprising the steps of: obtaining vegetation information by using data observed by a artificial satellite; calculating soil moisture by using the data observed by the artificial satellite; and determining a forest fire outbreak risk from the vegetation information and the soil moisture.
Inventors:
LEE JU HYOUNG (KR)
Application Number:
PCT/KR2021/003374
Publication Date:
September 30, 2021
Filing Date:
March 18, 2021
Export Citation:
Assignee:
UNIV KOREA RES & BUS FOUND (KR)
International Classes:
G08B17/00; B64G1/10; B64G1/66; G01C11/04
Foreign References:
| JP2014093063A | 2014-05-19 | |||
| KR20110100970A | 2011-09-15 | |||
| CN102034027A | 2011-04-27 | |||
| KR101484667B1 | 2015-01-27 |
Other References:
SEONG, NOHUN , SEO, MINJI , LEE, KYEONG-SANG , LEE, CHANGSUK , KIM, HYUNJI , CHOI, SUNGWON , HAN, KYUNG-SOO: "A water stress evaluation over forest canopy using NDWI in Korean peninsula", KOREAN JOURNAL OF REMOTE SENSING, vol. 31, no. 2, 30 April 2015 (2015-04-30), pages 77 - 83, XP055854277, ISSN: 1225-6161, DOI: 10.7780/kjrs.2015.31.2.3
Attorney, Agent or Firm:
ZENA PATENT LAW FIRM (KR)
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