๐Ÿ“… August 3, 2026  |  Environment & Technology

Australia Blends AI and Ancient Wisdom to Combat Wildfires

As devastating fires sweep across Europe, scientists in Australia are pioneering a revolutionary approach that merges satellite technology with thousands of years of Indigenous ecological knowledge.

์†๋„: 1.0ร—

As wildfires ravage much of southern Europe, Australia is offering the world a powerful lesson in disaster preparedness. Researchers at the Bushfire Research Centre of Excellence in Canberra have developed an innovative system that combines cutting-edge satellite imagery with the deep ecological knowledge of Australia's Indigenous communities.

Professor Marta Yebra, originally from Spain, leads the project. Her team uses satellites to measure the "fuel moisture content" of landscapes โ€” detecting where dry leaves, grass, and bark could ignite dangerous fires. However, she recognized that raw satellite data alone could not tell the full story on the ground.

That is where Adrian Webster, an Indigenous land expert from New South Wales, plays a crucial role. Webster grew up learning to "read the country" โ€” observing a plant's color, scent, and the shade of trees โ€” skills passed down from his elders over generations. His on-the-ground assessments showed remarkable agreement with Yebra's satellite data, validating both approaches.

The collaboration was born from Australia's devastating Black Summer fires of 2019โ€“20, which burned an area roughly the size of the United Kingdom and killed an estimated three billion animals. That catastrophe prompted the government to establish the Bushfire Research Centre and invest heavily in prevention science.

Experts believe this dual approach โ€” merging modern technology with Indigenous stewardship โ€” could serve as a global model for wildfire management. As climate change intensifies fire seasons worldwide, Australia's experience may prove invaluable for countries from Spain to California struggling to protect their landscapes.


๐Ÿ‡ฐ๐Ÿ‡ท Korean Translation

ํ˜ธ์ฃผ, AI์™€ ์›์ฃผ๋ฏผ ์ง€ํ˜œ๋ฅผ ๊ฒฐํ•ฉํ•ด ์‚ฐ๋ถˆ์— ๋งž์„œ๋‹ค

์œ ๋Ÿฝ ์ „์—ญ์— ๋Œ€ํ˜• ์‚ฐ๋ถˆ์ด ๋ฎ์น˜๋Š” ๊ฐ€์šด๋ฐ, ํ˜ธ์ฃผ ๊ณผํ•™์ž๋“ค์ด ์œ„์„ฑ ๊ธฐ์ˆ ๊ณผ ์ˆ˜์ฒœ ๋…„์˜ ์›์ฃผ๋ฏผ ์ƒํƒœ ์ง€์‹์„ ๊ฒฐํ•ฉํ•œ ํ˜์‹ ์  ์ ‘๊ทผ๋ฒ•์„ ์„ ๋ณด์ด๊ณ  ์žˆ๋‹ค.

์œ ๋Ÿฝ ๋‚จ๋ถ€ ์ผ๋Œ€๋ฅผ ์‚ฐ๋ถˆ์ด ํœฉ์“ธ๊ณ  ์žˆ๋Š” ์ง€๊ธˆ, ํ˜ธ์ฃผ๋Š” ์žฌํ•ด ๋Œ€๋น„์— ๊ด€ํ•œ ๊ฐ•๋ ฅํ•œ ๊ตํ›ˆ์„ ์„ธ๊ณ„์— ์ œ์‹œํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์บ”๋ฒ„๋ผ์— ์œ„์น˜ํ•œ ์‚ฐ๋ถˆ์—ฐ๊ตฌ์šฐ์ˆ˜์„ผํ„ฐ(Bushfire Research Centre of Excellence) ์—ฐ๊ตฌํŒ€์€ ์ตœ์ฒจ๋‹จ ์œ„์„ฑ ์˜์ƒ๊ณผ ํ˜ธ์ฃผ ์›์ฃผ๋ฏผ ๊ณต๋™์ฒด์˜ ๊นŠ์€ ์ƒํƒœ ์ง€์‹์„ ๊ฒฐํ•ฉํ•œ ํ˜์‹ ์ ์ธ ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.

์ŠคํŽ˜์ธ ์ถœ์‹ ์˜ ๋งˆ๋ฅดํƒ€ ์˜ˆ๋ธŒ๋ผ(Marta Yebra) ๊ต์ˆ˜๊ฐ€ ์ด ํ”„๋กœ์ ํŠธ๋ฅผ ์ด๋Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋…€์˜ ํŒ€์€ ์œ„์„ฑ์„ ์ด์šฉํ•ด ํ† ์–‘์˜ '์—ฐ๋ฃŒ ์ˆ˜๋ถ„ ํ•จ๋Ÿ‰'์„ ์ธก์ •ํ•˜๋ฉฐ, ๋งˆ๋ฅธ ์žŽยทํ’€ยท๋‚˜๋ฌด๊ป์งˆ ๋“ฑ ํ™”์žฌ ์œ„ํ—˜ ์ง€์—ญ์„ ํƒ์ง€ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์œ„์„ฑ ๋ฐ์ดํ„ฐ๋งŒ์œผ๋กœ๋Š” ํ˜„์žฅ์˜ ์‹ค์ƒ์„ ์™„์ „ํžˆ ํŒŒ์•…ํ•˜๊ธฐ ์–ด๋ ต๋‹ค๋Š” ํ•œ๊ณ„๋ฅผ ์ธ์‹ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋ฐ”๋กœ ์ด ์ง€์ ์—์„œ ๋‰ด์‚ฌ์šฐ์Šค์›จ์ผ์Šค ์ถœ์‹ ์˜ ์›์ฃผ๋ฏผ ํ† ์ง€ ์ „๋ฌธ๊ฐ€ ์—์ด๋“œ๋ฆฌ์–ธ ์›น์Šคํ„ฐ(Adrian Webster)๊ฐ€ ํ•ต์‹ฌ์ ์ธ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ์›น์Šคํ„ฐ๋Š” ์–ด๋ฆด ๋•Œ๋ถ€ํ„ฐ ์กฐ์ƒ๋“ค๋กœ๋ถ€ํ„ฐ '๋•…์„ ์ฝ๋Š” ๋ฒ•'์„ ๋ฐฐ์› ์Šต๋‹ˆ๋‹ค. ์‹๋ฌผ์˜ ์ƒ‰๊น”๊ณผ ํ–ฅ๊ธฐ, ๋‚˜๋ฌด ๊ทธ๋Š˜ ๋“ฑ์„ ๊ด€์ฐฐํ•˜๋Š” ์ด ๊ธฐ์ˆ ์€ ์ˆ˜์„ธ๋Œ€์— ๊ฑธ์ณ ์ „ํ•ด์ ธ ์˜จ ๊ฒƒ์œผ๋กœ, ๊ทธ์˜ ํ˜„์žฅ ํ‰๊ฐ€๋Š” ์˜ˆ๋ธŒ๋ผ ๊ต์ˆ˜์˜ ์œ„์„ฑ ๋ฐ์ดํ„ฐ์™€ ๋†€๋ผ์šธ ๋งŒํผ ์ผ์น˜ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ด ํ˜‘์—…์€ 2019~20๋…„ ํ˜ธ์ฃผ์˜ '๋ธ”๋ž™ ์„œ๋จธ(Black Summer)' ์‚ฐ๋ถˆ์ด ๊ณ„๊ธฐ๊ฐ€ ๋์Šต๋‹ˆ๋‹ค. ๋‹น์‹œ ์˜๊ตญ ๋ฉด์ ์— ๋งž๋จน๋Š” ์ง€์—ญ์ด ๋ถˆ์— ํƒ”๊ณ , ์•ฝ 30์–ต ๋งˆ๋ฆฌ์˜ ๋™๋ฌผ์ด ํฌ์ƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ์ฐธ์‚ฌ๋ฅผ ๊ณ„๊ธฐ๋กœ ์ •๋ถ€๋Š” ์‚ฐ๋ถˆ์—ฐ๊ตฌ์šฐ์ˆ˜์„ผํ„ฐ๋ฅผ ์„ค๋ฆฝํ•˜๊ณ  ์˜ˆ๋ฐฉ ๊ณผํ•™์— ๋Œ€ํ•œ ํˆฌ์ž๋ฅผ ๋Œ€ํญ ๋Š˜๋ ธ์Šต๋‹ˆ๋‹ค.

์ „๋ฌธ๊ฐ€๋“ค์€ ์ด ์ด์ค‘ ์ ‘๊ทผ๋ฒ• โ€” ํ˜„๋Œ€ ๊ธฐ์ˆ ๊ณผ ์›์ฃผ๋ฏผ์˜ ํ† ์ง€ ๊ด€๋ฆฌ ์ง€์‹์˜ ๊ฒฐํ•ฉ โ€” ์ด ์‚ฐ๋ถˆ ๊ด€๋ฆฌ์˜ ์„ธ๊ณ„์  ๋ชจ๋ธ์ด ๋  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋ฏฟ์Šต๋‹ˆ๋‹ค. ๊ธฐํ›„๋ณ€ํ™”๋กœ ์ „ ์„ธ๊ณ„ ์‚ฐ๋ถˆ ์‹œ์ฆŒ์ด ๊ฐˆ์ˆ˜๋ก ์‹ฌ๊ฐํ•ด์ง€๋Š” ๊ฐ€์šด๋ฐ, ์ŠคํŽ˜์ธ๋ถ€ํ„ฐ ์บ˜๋ฆฌํฌ๋‹ˆ์•„๊นŒ์ง€ ์‚ฐ๋ถˆ๋กœ ๊ณ ํ†ต๋ฐ›๋Š” ๋‚˜๋ผ๋“ค์— ํ˜ธ์ฃผ์˜ ๊ฒฝํ—˜์ด ํฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๐Ÿ“š ํ•ต์‹ฌ ์–ดํœ˜ (Key Vocabulary)

ravage
ํ™ฉํํ™”์‹œํ‚ค๋‹ค, ํŒŒ๊ดดํ•˜๋‹ค
fuel moisture content
์—ฐ๋ฃŒ ์ˆ˜๋ถ„ ํ•จ๋Ÿ‰ (์‚ฐ๋ถˆ ์œ„ํ—˜ ์ง€ํ‘œ)
ignite
๋ถˆ์„ ๋ถ™์ด๋‹ค, ์ ํ™”ํ•˜๋‹ค
ecological knowledge
์ƒํƒœ์  ์ง€์‹
remarkable agreement
๋†€๋ผ์šธ ๋งŒํ•œ ์ผ์น˜
stewardship
๊ด€๋ฆฌยท๋ณดํ˜ธ ์ฑ…์ž„, ์ฒญ์ง€๊ธฐ ์ •์‹ 
catastrophe
๋Œ€์ฐธ์‚ฌ, ์žฌ์•™
invaluable
๋งค์šฐ ๊ท€์ค‘ํ•œ, ๊ฐ’์„ ๋งค๊ธธ ์ˆ˜ ์—†๋Š”