์ด์Šนํ˜„ Seunghyeon Lee Clay Lee (Clay Lee)

ํ•ญ๊ณตยท์œ„์„ฑ LiDAR๋ฅผ ํ˜„์žฅ ๊ด€์ธก๊ณผ ์—ฐ๊ฒฐํ•ด ์‚ฐ๋ฆผยท๋„์‹œ ์ƒํƒœ๊ณ„์˜ ๊ตฌ์กฐ์™€ ๋ณ€ํ™”๋ฅผ ์ •๋Ÿ‰ํ™”ํ•ฉ๋‹ˆ๋‹ค.

I quantify the structure and change of forest and urban ecosystems by linking airborne and spaceborne LiDAR with field observations.

์—ฐ๊ตฌ ๋ถ„์•ผResearch focus

  • ์‚ฐ๋ฆผ ์ˆ˜์ง๊ตฌ์กฐยท์œ ํ˜•ํ™”Forest vertical structure & typology
  • ํ•ญ๊ณตยท์œ„์„ฑ LiDAR ยท GEDIAirborne & spaceborne LiDAR (GEDI)
  • ๋„์‹œ์ƒํƒœยท๊ทธ๋ฆฐ์ธํ”„๋ผUrban ecology & green infrastructure
  • ๋„์‹œ ๋ฏธ๊ธฐํ›„ยท์—ด ์›๊ฒฉํƒ์‚ฌUrban microclimate & thermal sensing
  • ํƒ„์†Œยท๋ฐ”์ด์˜ค๋งค์Šค ์ถ”์ •Carbon & biomass estimation
  • ์žฌํ˜„ ๊ฐ€๋Šฅํ•œ ๊ณต๊ฐ„๋ถ„์„Reproducible geospatial analysis

์„œ์šธ๋Œ€ํ•™๊ต ํ˜‘๋™๊ณผ์ • ์กฐ๊ฒฝํ•™ ๋ฐ•์‚ฌ ยท ์ƒํƒœ๊ณ„ํš์—ฐ๊ตฌ์‹ค

Ph.D. ยท Seoul National University ยท Landscape & Ecological Planning Lab

Seunghyeon Lee

01 โ€” ABOUT

ํ”„๋กœํ•„

About

๊ณต๊ฐ„ ๋ฐ์ดํ„ฐ์™€ ์›๊ฒฉํƒ์‚ฌ๋ฅผ ํ™œ์šฉํ•ด ์‚ฐ๋ฆผยท๋„์‹œ ์ƒํƒœ๊ณ„์˜ ๊ตฌ์กฐ์™€ ๊ธฐ๋Šฅ์„ ์ดํ•ดํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ๊ด€์‹ฌ์‚ฌ๋Š” ํ•ญ๊ณต/์œ„์„ฑ LiDAR ๊ธฐ๋ฐ˜ ์‚ฐ๋ฆผ ์ˆ˜์ง ๊ตฌ์กฐ ๋ถ„์„, ๋„์‹œ์ƒํƒœ๊ณ„ ๊ธฐ๋ฐ˜ ๊ทธ๋ฆฐ์ธํ”„๋ผ, ๊ทธ๋ฆฌ๊ณ  ๋ฐ์ดํ„ฐยท์ฝ”๋“œ ๊ธฐ๋ฐ˜ ์žฌํ˜„ ๊ฐ€๋Šฅํ•œ ์—ฐ๊ตฌ์ž…๋‹ˆ๋‹ค.

I use spatial data and remote sensing to understand the structure and function of forest and urban ecosystems.

My research focuses on airborne / spaceborne LiDAR for vertical forest structure, green infrastructure for urban ecosystems, and reproducible data- and code-driven science.

์—ฐ๊ตฌ ๊ด€์‹ฌ๋ถ„์•ผ

Research interests

์‚ฐ๋ฆผ ์ˆ˜์ง ๊ตฌ์กฐ (LiDAR)GEDI ยท ์œ„์„ฑ ๋ผ์ด๋‹ค๋„์‹œ์ƒํƒœ๊ณ„ ยท ๊ทธ๋ฆฐ์ธํ”„๋ผ์›๊ฒฉํƒ์‚ฌ ยท ์œ„์„ฑ์˜์ƒ ๋ถ„์„์•ผ์ƒ๋™๋ฌผ ๋ชจ๋‹ˆํ„ฐ๋ง (๋“œ๋ก ยท์—ดํ™”์ƒ)GIS ยท ๊ณต๊ฐ„์ •๋ณด ๋ถ„์„ Forest vertical structure (LiDAR)GEDI ยท Spaceborne LiDARUrban ecosystems ยท Green infrastructureRemote sensing ยท Satellite analysisWildlife monitoring (UAV / thermal)GIS ยท Spatial analysis

๊ฒŒ์žฌ ๋…ผ๋ฌธ Publications

9 ํŽธ papers

ํ•™ํšŒ ๋ฐœํ‘œ Conference talks

25+ ๊ฑด presentations

์—ฐ๊ตฌ ๊ณผ์ œ Projects

12+ ๊ฑด projects

ํŠนํ—ˆ Patents

11 ๊ฑด patents

๋Œ€ํ•™ ์ •๊ทœ ๊ฐ•์˜ ยท ํŠน๊ฐ• University & special lectures

2/20+ ๊ฑด lectures

์˜จ๋ผ์ธ ๊ฐ•์˜ Online lectures

1000+ ์ˆ˜๊ฐ•์ƒ ยท 4๊ฐœ ๊ณผ์ • students ยท 4 courses

02 โ€” EDUCATION

ํ•™๋ ฅ

Education

2022.03 โ€” 2026.08

๋ฐ•์‚ฌ ยท ํ˜‘๋™๊ณผ์ • ์กฐ๊ฒฝํ•™ ยท ์œตํ•ฉ์ „๊ณต ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ธ€๋กœ๋ฒŒ ์œตํ•ฉ Ph.D. ยท Interdisciplinary Program in Landscape Architecture ยท Integrated Major in SmartCity Global Convergence

์„œ์šธ๋Œ€ํ•™๊ต Seoul National University, Seoul, Republic of Korea

์ƒํƒœ๊ณ„ํš์—ฐ๊ตฌ์‹ค ยท ์ง€๋„๊ต์ˆ˜: ์†ก์˜๊ทผ ๊ต์ˆ˜ Landscape & Ecological Planning Lab ยท Advisor: Prof. Youngkeun Song

2020.03 โ€” 2022.02

์„์‚ฌ (MA) ยท ํ™˜๊ฒฝ์กฐ๊ฒฝํ•™๊ณผ ยท ์œตํ•ฉ์ „๊ณต ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ธ€๋กœ๋ฒŒ ์œตํ•ฉ (์„์‚ฌ ํ•™์œ„ ์ˆ˜์—ฌ) M.A. ยท Landscape Architecture ยท Integrated Major in SmartCity Global Convergence

์„œ์šธ๋Œ€ํ•™๊ต ํ™˜๊ฒฝ๋Œ€ํ•™์› Graduate School of Environmental Studies, Seoul National University

์ƒํƒœ๊ณ„ํš์—ฐ๊ตฌ์‹ค ยท ์ง€๋„๊ต์ˆ˜: ์†ก์˜๊ทผ ๊ต์ˆ˜ Landscape & Ecological Planning Lab ยท Advisor: Prof. Youngkeun Song

2011.03 โ€” 2017.02

ํ•™์‚ฌ (BS) ยท ์กฐ๊ฒฝํ•™๊ณผ B.S. ยท Landscape Architecture

๊ฒฝ๋ถ๋Œ€ํ•™๊ต ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ College of Agriculture & Life Sciences, Kyungpook National University, Daegu, Republic of Korea

03 โ€” PUBLICATIONS

๊ฒŒ์žฌ ๋…ผ๋ฌธ (9)

Publications (9)

Peer-reviewed ํ•™์ˆ ๋…ผ๋ฌธ ๋ชฉ๋ก. ์ตœ์‹  ์ˆœ์œผ๋กœ ์ •๋ ฌ.

Peer-reviewed publications, sorted by most recent.

Ecological structures and terrestrial insect diversity across successional stages in abandoned paddy fields
SCI Q1IF 6.4
6 Figs
Co-author 2026

Ecological structures and terrestrial insect diversity across successional stages in abandoned paddy fields Ecological structures and terrestrial insect diversity across successional stages in abandoned paddy fields

Agriculture, Ecosystems & Environment

Jaeyeon Kim, Seungwoo Han, Jiweon Yun, Seunghyeon Lee, Youngkeun Song

Multi-scale forest typologies using novel vertical layer metrics from airborne LiDAR in temperate mixed forests
SCI Q1IF 7.4
7 Figs
First author 2026

Multi-scale forest typologies using novel vertical layer metrics from airborne LiDAR in temperate mixed forests Multi-scale forest typologies using novel vertical layer metrics from airborne LiDAR in temperate mixed forests

Ecological Indicators

Seunghyeon Lee, Uirin Ha, Heejae Lee, Hyeyeong Choe, Hansoo Kim, Youngkeun Song

A three-stage framework for stand-level automated stem volume estimation in temperate forests using Mobile laser scanning
SCI Q1IF 11.4
13 Figs
Co-author 2026

A three-stage framework for stand-level automated stem volume estimation in temperate forests using Mobile laser scanning A three-stage framework for stand-level automated stem volume estimation in temperate forests using Mobile laser scanning

Remote Sensing of Environment

Jinyuan Shao, Dennis Heejoon Choi, Jidong Liu, Xiangxi Tian, Bina Thapa, Seunghyeon Lee, Ayman Habib, Songlin Fei

Assessing Corvus Frugilegus (Rook) Habitat Preferences through Flock-Size-Specific Species Distribution Modeling Using Citizen Science Data
SCI Q1IF 3.4
8 Figs
Co-author 2025

Assessing Corvus Frugilegus (Rook) Habitat Preferences through Flock-Size-Specific Species Distribution Modeling Using Citizen Science Data Assessing Corvus Frugilegus (Rook) Habitat Preferences through Flock-Size-Specific Species Distribution Modeling Using Citizen Science Data

Global Ecology and Conservation

Jiweon Yun, Seunghyeon Lee, Youngkeun Song

Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images
SCI Q1IF 5.0
13 Figs
First author 2021

Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images

Remote Sensing

Seunghyeon Lee, Youngkeun Song, Sung-Ho Kil

Comparing LST Estimation Methods under Matched Spatiotemporal Conditions in Low- and High-Rise Residential Areas: Satellite, Simulation, and UAV Approaches
KCI
4 Figs
First author 2026

๋™์ผ ์‹œ๊ณต๊ฐ„ ์กฐ๊ฑด์—์„œ์˜ ์ €์ธตยท๊ณ ์ธต ์ฃผ๊ฑฐ์ง€ LST ์‚ฐ์ถœ๋ฐฉ๋ฒ• ๋น„๊ต โ€” ์œ„์„ฑ์˜์ƒ, ์‹œ๋ฎฌ๋ ˆ์ด์…˜, UAV๋ฅผ ์ค‘์‹ฌ์œผ๋กœ Comparing LST Estimation Methods under Matched Spatiotemporal Conditions in Low- and High-Rise Residential Areas: Satellite, Simulation, and UAV Approaches

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€ KOSERT

์ด์Šนํ˜„, ์žฅ๊ตญํ™”, ์†ก์˜๊ทผ, ๊ธธ์Šนํ˜ธ Seunghyeon Lee, Gukhwa Jang, Youngkeun Song, Sung-Ho Kil

Forest-Type and Seasonal Analysis of GEDIโ€“ALS Canopy Height Agreement and GEDI Structural Metrics (FHD, PAI) โ€” A Case Study of Forests in Gwacheon-si and Uiwang-si
KCI
3 Figs
First author 2026

์‚ฐ๋ฆผ์œ ํ˜•๊ณผ ์‹œ๊ธฐ์— ๋”ฐ๋ฅธ GEDIโ€“ALS ์ˆ˜๊ณ  ์ผ์น˜์„ฑ ๋ฐ GEDI ๊ตฌ์กฐ์ง€ํ‘œ(FHD, PAI) ํŠน์„ฑ ๋ถ„์„ โ€” ๊ณผ์ฒœ์‹œ์™€ ์˜์™•์‹œ ์‚ฐ๋ฆผ์„ ๋Œ€์ƒ์œผ๋กœ Forest-Type and Seasonal Analysis of GEDIโ€“ALS Canopy Height Agreement and GEDI Structural Metrics (FHD, PAI) โ€” A Case Study of Forests in Gwacheon-si and Uiwang-si

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€ KOSERT

์ด์Šนํ˜„, ์†ก์˜๊ทผ Seunghyeon Lee, Youngkeun Song

Non-destructive Carbon Storage Estimation of Salix Spp community In Wetlands Using LiDAR โ€” A Case Study of Ungok Wetland
KCI
6 Figs
Co-author 2025

๋ผ์ด๋‹ค ๊ธฐ๋ฐ˜ ์Šต์ง€ ๋ฒ„๋“œ๋‚˜๋ฌด๋ฆผ์˜ ๋น„ํŒŒ๊ดด์  ํƒ„์†Œ์ €์žฅ๋Ÿ‰ ์ถ”์ • โ€” ์šด๊ณก์Šต์ง€ ์‚ฌ๋ก€ Non-destructive Carbon Storage Estimation of Salix Spp community In Wetlands Using LiDAR โ€” A Case Study of Ungok Wetland

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€ KOSERT

์ œ๊ฐˆ๊ฐ‘์„ฑ, ์–‘์˜์€, ์ด์Šนํ˜„, ์†ก์˜๊ทผ Gapseong Jekal, Youngeun Yang, Seunghyeon Lee, Youngkeun Song

Diel Activity Patterns of Water Deer (Hydropotes inermis) and Wild Boar (Sus scrofa) in a Suburban Area Monitored by Long-term Camera-Trapping
KCI
3 Figs
Co-author 2024

์žฅ๊ธฐ ์นด๋ฉ”๋ผํŠธ๋ž˜ํ•‘ ๋ชจ๋‹ˆํ„ฐ๋ง ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ ๋„์‹œ๊ทผ๊ต์˜ ๊ณ ๋ผ๋‹ˆ ๋ฐ ๋ฉง๋ผ์ง€ ์ผ์ฃผ๊ธฐ์„ฑ ์—ฐ๊ตฌ Diel Activity Patterns of Water Deer (Hydropotes inermis) and Wild Boar (Sus scrofa) in a Suburban Area Monitored by Long-term Camera-Trapping

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€ KOSERT

ํ•œ์œคํ•˜, ์‹ ์›ํ˜‘, ๊น€์ง€ํ™˜, ๊น€๋„ํฌ, ์œค์ง€์›, ์ด์„์˜, ๊น€์šฉํ™˜, ์ด์Šนํ˜„, ์†ก์˜๊ทผ Younha Han, Wonhyeop Shin, Jihwan Kim, Dohee Kim, Jiweon Yun, Sokyoung Yi, Yonghwan Kim, Seunghyeon Lee, Youngkeun Song

2026
Co-author SCI Q1IF 6.4

Ecological structures and terrestrial insect diversity across successional stages in abandoned paddy fields Ecological structures and terrestrial insect diversity across successional stages in abandoned paddy fields

Agriculture, Ecosystems & Environment ยท Jaeyeon Kim, Seungwoo Han, Jiweon Yun, Seunghyeon Lee, Youngkeun Song

2026
First author SCI Q1IF 7.4

Multi-scale forest typologies using novel vertical layer metrics from airborne LiDAR in temperate mixed forests Multi-scale forest typologies using novel vertical layer metrics from airborne LiDAR in temperate mixed forests

Ecological Indicators ยท Seunghyeon Lee, Uirin Ha, Heejae Lee, Hyeyeong Choe, Hansoo Kim, Youngkeun Song

2026
Co-author SCI Q1IF 11.4
PDF Web

A three-stage framework for stand-level automated stem volume estimation in temperate forests using Mobile laser scanning A three-stage framework for stand-level automated stem volume estimation in temperate forests using Mobile laser scanning

Remote Sensing of Environment ยท Jinyuan Shao, Dennis Heejoon Choi, Jidong Liu, Xiangxi Tian, Bina Thapa, Seunghyeon Lee, Ayman Habib, Songlin Fei

2025
Co-author SCI Q1IF 3.4

Assessing Corvus Frugilegus (Rook) Habitat Preferences through Flock-Size-Specific Species Distribution Modeling Using Citizen Science Data Assessing Corvus Frugilegus (Rook) Habitat Preferences through Flock-Size-Specific Species Distribution Modeling Using Citizen Science Data

Global Ecology and Conservation ยท Jiweon Yun, Seunghyeon Lee, Youngkeun Song

2021
First author SCI Q1IF 5.0
PDF Web

Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images

Remote Sensing ยท Seunghyeon Lee, Youngkeun Song, Sung-Ho Kil

2026
First author KCI

๋™์ผ ์‹œ๊ณต๊ฐ„ ์กฐ๊ฑด์—์„œ์˜ ์ €์ธตยท๊ณ ์ธต ์ฃผ๊ฑฐ์ง€ LST ์‚ฐ์ถœ๋ฐฉ๋ฒ• ๋น„๊ต โ€” ์œ„์„ฑ์˜์ƒ, ์‹œ๋ฎฌ๋ ˆ์ด์…˜, UAV๋ฅผ ์ค‘์‹ฌ์œผ๋กœ Comparing LST Estimation Methods under Matched Spatiotemporal Conditions in Low- and High-Rise Residential Areas: Satellite, Simulation, and UAV Approaches

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€KOSERT ยท ์ด์Šนํ˜„, ์žฅ๊ตญํ™”, ์†ก์˜๊ทผ, ๊ธธ์Šนํ˜ธ Seunghyeon Lee, Gukhwa Jang, Youngkeun Song, Sung-Ho Kil

2026
First author KCI

์‚ฐ๋ฆผ์œ ํ˜•๊ณผ ์‹œ๊ธฐ์— ๋”ฐ๋ฅธ GEDIโ€“ALS ์ˆ˜๊ณ  ์ผ์น˜์„ฑ ๋ฐ GEDI ๊ตฌ์กฐ์ง€ํ‘œ(FHD, PAI) ํŠน์„ฑ ๋ถ„์„ โ€” ๊ณผ์ฒœ์‹œ์™€ ์˜์™•์‹œ ์‚ฐ๋ฆผ์„ ๋Œ€์ƒ์œผ๋กœ Forest-Type and Seasonal Analysis of GEDIโ€“ALS Canopy Height Agreement and GEDI Structural Metrics (FHD, PAI) โ€” A Case Study of Forests in Gwacheon-si and Uiwang-si

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€KOSERT ยท ์ด์Šนํ˜„, ์†ก์˜๊ทผ Seunghyeon Lee, Youngkeun Song

2025
Co-author KCI

๋ผ์ด๋‹ค ๊ธฐ๋ฐ˜ ์Šต์ง€ ๋ฒ„๋“œ๋‚˜๋ฌด๋ฆผ์˜ ๋น„ํŒŒ๊ดด์  ํƒ„์†Œ์ €์žฅ๋Ÿ‰ ์ถ”์ • โ€” ์šด๊ณก์Šต์ง€ ์‚ฌ๋ก€ Non-destructive Carbon Storage Estimation of Salix Spp community In Wetlands Using LiDAR โ€” A Case Study of Ungok Wetland

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€KOSERT ยท ์ œ๊ฐˆ๊ฐ‘์„ฑ, ์–‘์˜์€, ์ด์Šนํ˜„, ์†ก์˜๊ทผ Gapseong Jekal, Youngeun Yang, Seunghyeon Lee, Youngkeun Song

2024
Co-author KCI

์žฅ๊ธฐ ์นด๋ฉ”๋ผํŠธ๋ž˜ํ•‘ ๋ชจ๋‹ˆํ„ฐ๋ง ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ ๋„์‹œ๊ทผ๊ต์˜ ๊ณ ๋ผ๋‹ˆ ๋ฐ ๋ฉง๋ผ์ง€ ์ผ์ฃผ๊ธฐ์„ฑ ์—ฐ๊ตฌ Diel Activity Patterns of Water Deer (Hydropotes inermis) and Wild Boar (Sus scrofa) in a Suburban Area Monitored by Long-term Camera-Trapping

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ์ง€KOSERT ยท ํ•œ์œคํ•˜, ์‹ ์›ํ˜‘, ๊น€์ง€ํ™˜, ๊น€๋„ํฌ, ์œค์ง€์›, ์ด์„์˜, ๊น€์šฉํ™˜, ์ด์Šนํ˜„, ์†ก์˜๊ทผ Younha Han, Wonhyeop Shin, Jihwan Kim, Dohee Kim, Jiweon Yun, Sokyoung Yi, Yonghwan Kim, Seunghyeon Lee, Youngkeun Song

์‹ฌ์‚ฌ ์ค‘ Under Review

ํˆฌ๊ณ  ยท ์‹ฌ์‚ฌ ์ค‘ (5ํŽธ) Submitted / under peer review (5)

2026.04 ์‹ฌ์‚ฌ ์ค‘ Under review

Spaceborne LiDAR reveals post-fire vertical structural loss in a dense temperate Asian conifer plantation.

Seunghyeon Lee, Dennis Heejoon Choi, Youngkeun Song, James H. Thorne ยท Science of Remote Sensing

2026.06 ์ˆ˜์ • ํ›„ ์žฌ์‹ฌ์‚ฌ ยท 1์ฐจ Revise & resubmit ยท R1

Systematic bias in urban-forest vegetation coverage assessment: the influence of topo-edaphic conditions on discrepancies between ALS and field surveys.

Seunghyeon Lee, Hansoo Kim, Youngkeun Song ยท Geoscience Letters

2026.05 ์ˆ˜์ • ํ›„ ์žฌ์‹ฌ์‚ฌ ยท 2์ฐจ Revise & resubmit ยท R2

Bi-temporal ALS assessment of verticalโ€“horizontal forest structures and their structural association in a temperate urban forest.

Seunghyeon Lee, Yonghwan Kim, Dohee Kim, Hansoo Kim, Youngkeun Song ยท Forest Science and Technology

2026.05 ์ˆ˜์ • ํ›„ ์žฌ์‹ฌ์‚ฌ ยท 1์ฐจ Revise & resubmit ยท R1

Integrating UAV-derived habitat metrics with movement persistence and species distribution models to characterize seasonal habitat use of invasive turtles in urban wetlands.

Yonghwan Kim, Seunghyeon Lee, Wonhyeop Shin, Youngkeun Song ยท Global Ecology and Conservation

2026.02 ์ˆ˜์ • ํ›„ ์žฌ์‹ฌ์‚ฌ ยท 1์ฐจ Revise & resubmit ยท R1

Monitoring transition-zone dynamics of a Phragmites communisโ€“Suaeda japonica mosaic from multi-season Sentinel-2 in a coastal wetland.

Gapseong Jekal, Yong Hwan Kim, Seunghyeon Lee, Ji Weon Yun, Dae Yeol Kim, Youngkeun Song ยท Journal of Coastal Conservation

์ €์„œ (1)

Books (1)

New Normal City
๐Ÿ“– Book
2021

๋‰ด๋…ธ๋ฉ€์‹œํ‹ฐ New Normal City

์š”์ฆ˜๋„์‹œ YOZMDOSI ยท ์–ด๋ฐ˜์ด์Šˆ Urban Issue

ISBN 9791197343100

2021/02/06

04 โ€” CONFERENCES

ํ•™ํšŒ ๋ฐœํ‘œ (25)

Conference Presentations (25)

1์ €์ž ๋˜๋Š” ๋ฐœํ‘œ์ž(presenter)์ธ ๊ตญ๋‚ดยท๊ตญ์ œ ํ•™ํšŒ ๋ฐœํ‘œ.

Domestic and international presentations where I am first author or presenter.

2025

25.12.17 Poster ยท Intl.

Novel LiDAR Indices Reveal Scale-Dependent Vertical Structure and Typologies in a Temperate Forest Novel LiDAR Indices Reveal Scale-Dependent Vertical Structure and Typologies in a Temperate Forest

AGU (American Geophysical Union) AGU (American Geophysical Union) ยท ๋ฏธ๊ตญ ๋‰ด์˜ฌ๋ฆฌ์–ธ์Šค New Orleans, US

25.04.04 Oral ยท Domestic

์‚ฐ๋ฆผ ์ธต์œ„๊ตฌ์กฐ ์ง€์ˆ˜์˜ ๊ฐœ๋ฐœ๊ณผ ํƒ„์†Œ์ €์žฅ๋Ÿ‰๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ Development of forest layer-structure indices and their correlation with carbon storage

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2025 ์ถ˜๊ณ„) KOSERT (2025 Spring) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ Seoul, Republic of Korea

2024

24.12.13 Poster ยท Intl.

Quantifying the number of forest stratification layers of city-scale forest and characterizing by forest types Quantifying the number of forest stratification layers of city-scale forest and characterizing by forest types

AGU (American Geophysical Union) AGU (American Geophysical Union) ยท ๋ฏธ๊ตญ ์›Œ์‹ฑํ„ด D.C. Washington D.C, US

24.11.06 Oral ยท Intl.

Invasive species monitoring development and its application Invasive species monitoring development and its application

Asia Week Asia Week ยท ์ผ๋ณธ ํ›„์ฟ ์˜ค์นด / ์˜จ๋ผ์ธ Fukuoka, Japan / Online

24.10.06 Oral ยท Intl.

Canopy layers distribution by forest patch and species at the city-level forest using airborne LiDAR Canopy layers distribution by forest patch and species at the city-level forest using airborne LiDAR

ICLEE (Intl. Consortium of Landscape and Ecological Engineering) ICLEE (Intl. Consortium of Landscape and Ecological Engineering) ยท ์ผ๋ณธ ๊ธฐํƒ€ํ์Šˆ Kitakyushu, Japan

24.08.08 Poster ยท Intl.

Characterizing the forest vegetation stratification by forest biotope types using airborne lidar Characterizing the forest vegetation stratification by forest biotope types using airborne lidar

ESA (Ecological Society of America) ESA (Ecological Society of America) ยท ๋ฏธ๊ตญ ๋กฑ๋น„์น˜ Long Beach, CA, US

24.04.19 Oral ยท Domestic

ํ•ญ๊ณต๋ผ์ด๋‹ค๋ฅผ ํ™œ์šฉํ•œ ๊ณผ์ฒœ์‹œ ์‚ฐ๋ฆผ ์ธต์œ„๋ณ„ ํ”ผ๋ณต ๋ฉด์  ๋ฐ ๋ณ€ํ™”๋Ÿ‰ ๋ถ„์„ Analyzing the vegetation area of each forest layer and its change of Gwacheon-si using airborne LiDAR

ํ•œ๊ตญํ™˜๊ฒฝ์ƒํƒœํ•™ํšŒ / KSEE (2024 ์ถ˜๊ณ„) KSEE (2024 Spring) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์‹œํฅ Siheung, Republic of Korea

24.01.16 Oral ยท Intl.

Remotely sensed Smartcity ecological value maps Remotely sensed Smartcity ecological value maps

NEF (Neocity Empowerment Forum) NEF (Neocity Empowerment Forum) ยท ๋ฏธ๊ตญ ์˜ฌ๋ž€๋„ Orlando, FL, US

24.01.10 Video ยท Intl.

Smart City & Green Infrastructure Smart City & Green Infrastructure

CES (Consumer Electronics Show) CES (Consumer Electronics Show) ยท ๋ฏธ๊ตญ ๋ผ์Šค๋ฒ ๊ฐ€์Šค Las Vegas, NV, US

2023

23.11.29 Oral ยท Domestic

์œ„์„ฑ๋ผ์ด๋‹ค GEDI๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜์ข…๊ณผ ์‹œ๊ธฐ์— ๋”ฐ๋ผ ์ž„์ƒ๋ณ„ ์‹์ƒ ์ˆ˜์ง ๊ตฌ์กฐ ๋ฐ ๋ฉด์  ๋ณ€ํ™” ๋น„๊ต ์—ฐ๊ตฌ GEDI-based comparison of vegetation vertical structure and area change by tree species and seasons

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2023 ์ถ”๊ณ„) KOSERT (2023 Fall) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์ œ์ฃผ Jeju, Republic of Korea

23.11.12 Oral ยท Intl.

Property Information Analysis Study of Gyeonggi-do Province Biotope Property Information Analysis Study of Gyeonggi-do Province Biotope

JCK (Japan-China-Korea Landscape Architectural Symposium, 18th) JCK (Japan-China-Korea Landscape Architectural Symposium, 18th) ยท ์ผ๋ณธ ๊ตํ†  Kyoto, Japan

23.11.11 Poster ยท Intl.

Wildfire driven forest vegetation height change comparison Wildfire driven forest vegetation height change comparison

JCK (Japan-China-Korea Landscape Architectural Symposium, 18th) JCK (Japan-China-Korea Landscape Architectural Symposium, 18th) ยท ์ผ๋ณธ ๊ตํ†  Kyoto, Japan

23.08.10 Poster ยท Intl.

The Impacts of Fire-induced Disturbances On Tree Height and Structure: Using GEDI Derived Variables The Impacts of Fire-induced Disturbances On Tree Height and Structure: Using GEDI Derived Variables

ESA (Ecological Society of America) ESA (Ecological Society of America) ยท ๋ฏธ๊ตญ ํฌํ‹€๋žœ๋“œ Portland, OR, US

2022

22.12.20 Oral ยท Intl.

Monitoring structural change of fire-induced forest vegetation using GEDI Monitoring structural change of fire-induced forest vegetation using GEDI

ICLEE (12th) ICLEE (12th) ยท ์˜จ๋ผ์ธ Online

22.12.14 Oral ยท Intl.

Comparison of GEDI (Global Ecosystem Dynamics Investigation) and Aerial Laser Scanning Dataset according to Leaf-on and Leaf-off Seasons Comparison of GEDI (Global Ecosystem Dynamics Investigation) and Aerial Laser Scanning Dataset according to Leaf-on and Leaf-off Seasons

AGU (American Geophysical Union) AGU (American Geophysical Union) ยท ๋ฏธ๊ตญ ์‹œ์นด๊ณ  / ์˜จ๋ผ์ธ Chicago, IL, US / Online

22.11.11 Oral ยท Domestic

์‹์ƒ ์ข…๋ฅ˜์™€ ์ดฌ์˜ ์‹œ๊ธฐ์— ๋”ฐ๋ฅธ ์œ„์„ฑ ๋ผ์ด๋‹ค GEDI์™€ ํ•ญ๊ณต ๋ผ์ด๋‹ค์˜ ์ƒ๊ด€๊ณ„์ˆ˜ ๋ถ„์„์„ ํ†ตํ•œ ํ˜„์žฅ ์ผ์น˜์„ฑ ํ™•์ธ GEDI vs. airborne LiDAR correlation by vegetation type and season

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2022 ์ถ”๊ณ„) KOSERT (2022 Fall) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์ œ์ฃผ Jeju, Republic of Korea

22.05.02 Video ยท Intl.

Classification of tree species and forest floor using XGBoost algorithm with accurate forest map, airborne LiDAR data, and satellite images Classification of tree species and forest floor using XGBoost algorithm with accurate forest map, airborne LiDAR data, and satellite images

WFC (World Forestry Congress, 15th) WFC (World Forestry Congress, 15th) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ Seoul, Republic of Korea

22.05.02 Poster ยท Intl.

Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images

WFC (World Forestry Congress, 15th) WFC (World Forestry Congress, 15th) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ Seoul, Republic of Korea

22.03.25 Oral ยท Domestic

์œ„์„ฑ๋ผ์ด๋‹ค GEDI๋ฅผ ํ™œ์šฉํ•œ ์•ˆ๋™ ์ง€์—ญ ์‚ฐ๋ถˆ ์ „ํ›„์˜ ์‹์ƒ ์ˆ˜์ง๊ตฌ์กฐ ๋ณ€ํ™” ํŒŒ์•… GEDI-based vegetation vertical structure change before/after Andong wildfire

ํ•œ๊ตญ์กฐ๊ฒฝํ•™ํšŒ / KILA (2022 ์ถ˜๊ณ„) KILA (2022 Spring) ยท ์˜จ๋ผ์ธ Online

2021

21.12.16 Poster ยท Intl.

Detecting individual broad-leaved trees by trunk extraction method using leaf-off airborne LiDAR datasets Detecting individual broad-leaved trees by trunk extraction method using leaf-off airborne LiDAR datasets

AGU (American Geophysical Union) AGU (American Geophysical Union) ยท ๋ฏธ๊ตญ ๋‰ด์˜ฌ๋ฆฌ์–ธ์Šค / ์˜จ๋ผ์ธ New Orleans, LA, US / Online

21.12.03 Oral ยท Domestic

๋ฌด์ธ๋น„ํ–‰์ฒด ์ดฌ์˜ ์—ดํ™”์ƒ ๋ฐ ์‹คํ™”์ƒ ์ด๋ฏธ์ง€์˜ ์กฐํ•ฉ์— ๋”ฐ๋ฅธ ์œก์ƒ๋™๋ฌผ ํƒ์ง€์œจ ๋ถ„์„ Wildlife detection rate analysis using UAV thermal and RGB image combinations

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2021 ์ถ”๊ณ„) KOSERT (2021 Fall) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์ œ์ฃผ Jeju, Republic of Korea

21.05.28 Oral ยท Domestic

๋ฌด์ธ๋น„ํ–‰์ฒด ์—ดํ™”์ƒ ์นด๋ฉ”๋ผ ์ดฌ์˜ ์—ดํ™”์ƒ ์ด๋ฏธ์ง€์™€ ์‹คํ™”์ƒ ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ์šฉํ•œ ์•ผ์ƒ๋™๋ฌผ ์ž๋™ ํƒ์ง€ ํ™œ์šฉ๋ฐฉ๋ฒ• ์—ฐ๊ตฌ Automated wildlife detection using UAV thermal and RGB imagery

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2021 ์ถ˜๊ณ„) KOSERT (2021 Spring) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ Seoul, Republic of Korea

21.03.26 Oral ยท Domestic

์•ˆ์–‘์‹œ ๋…น์ง€ ์„œ๋น„์Šค ๊ณต๊ธ‰๊ณผ ์ˆ˜์š” ๊ฐญ๋ถ„์„์„ ํ†ตํ•œ ๊ณต๊ธ‰ ์›ํ™œ ๋ฐ ๋ถ€์กฑ์ง€์—ญ ๋„์ถœ Anyang City green space supply-demand gap analysis

ํ•œ๊ตญ์กฐ๊ฒฝํ•™ํšŒ / KILA (2021 ์ถ˜๊ณ„) KILA (2021 Spring) ยท ์˜จ๋ผ์ธ Online

2020

20.10.22 Oral ยท Domestic

๋ฌด์ธ๋น„ํ–‰์ฒด ํƒ‘์žฌ ์—ดํ™”์ƒ ์„ผ์„œ ์ดฌ์˜ํ™˜๊ฒฝ์— ๋”ฐ๋ฅธ ์•ผ์ƒ๋™๋ฌผ ํƒ์ง€๊ฐ€๋Šฅ์„ฑ ์—ฐ๊ตฌ UAV-mounted thermal sensor wildlife detection feasibility under varying conditions

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2020 ์ถ”๊ณ„) KOSERT (2020 Fall) ยท ๋Œ€ํ•œ๋ฏผ๊ตญ ์ œ์ฃผ Jeju, Republic of Korea

20.05.22 Oral ยท Domestic

๋ฌด์ธ๋น„ํ–‰์ฒด์™€ ์—ดํ™”์ƒ ์„ผ์„œ๋ฅผ ํ™œ์šฉํ•œ ์•ผ์ƒ๋™๋ฌผ ๊ฐœ์ฒด ์ˆ˜ ํƒ์ง€๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋™ํ–ฅ ๋ถ„์„ Trend analysis on UAV/thermal-based wildlife population detection

ํ•œ๊ตญํ™˜๊ฒฝ๋ณต์›๊ธฐ์ˆ ํ•™ํšŒ / KOSERT (2020 ์ถ˜๊ณ„) KOSERT (2020 Spring) ยท ์˜จ๋ผ์ธ Online

05 โ€” TEACHING

๊ต์œก ยท ๊ฐ•์˜ (21)

Teaching (21)

UPWISE. GIS ๊ฐ•์‚ฌ GIS Instructor

๋Œ€ํ•™ ์ •๊ทœ์ˆ˜์—…ยทํŠน๊ฐ•ยท์ธํ”„๋Ÿฐ ์˜จ๋ผ์ธ ๊ฐ•์˜.

University lectures, special workshops, and online courses on a learning platform.

2025

25.11.10 ~ 25.11.12 ํŠน๊ฐ• Special

GIS ์ดํ•ด ๋ฐ DBMS๋ฅผ ํ†ตํ•œ ๊ณต๊ฐ„ ๋ถ„์„ ๋ฐ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” (์‹ฌํ™”) Understanding GIS and Performing Spatial Analysis and Data Visualization Using DBMS (Advanced)

ํ˜„๋Œ€NGV Hyundai NGV ยท 20 ๋ช… students

25.10.23 ~ 25.10.24 ํŠน๊ฐ• Special

GIS ์ดํ•ด ๋ฐ DBMS๋ฅผ ํ†ตํ•œ ๊ณต๊ฐ„ ๋ถ„์„ ๋ฐ ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” (๊ธฐ์ดˆ) Understanding GIS and Performing Spatial Analysis and Data Visualization Using DBMS (Basic)

ํ˜„๋Œ€NGV Hyundai NGV ยท 20 ๋ช… students

25.09.18 ~ 25.09.19 ํŠน๊ฐ• Special

2025 ๋ฌผ๊ธฐ์—… ์žฌ์ง์ž ์—ญ๋Ÿ‰๊ฐ•ํ™” โ€” Q-GIS ์‹ค์Šต K-water Empowerment Training 2025 โ€” Q-GIS Practice

ํ•œ๊ตญ์ˆ˜์ž์›๊ณต์‚ฌ K-water ยท 30 ๋ช… students

25.09.01 ~ 25.12.31 ๋Œ€ํ•™ ๊ฐ•์˜ University

๊ณต๊ฐ„์ •๋ณด์˜ ์ดํ•ด์™€ ํ™œ์šฉ (3ํ•™์ ) Understanding and Application of Spatial Information (3 credits)

์ธ์ฒœ๋Œ€ํ•™๊ต Incheon National University ยท 30 ๋ช… students

25.07.08 ~ 25.07.16 ํŠน๊ฐ• Special

AI ๋น…๋ฐ์ดํ„ฐ๋ถ„์„๊ฐ€ ์–‘์„ฑ๊ณผ์ • โ€” GIS SeSAC AI Big Data Analyst Training Course โ€” GIS

์„œ์šธ์ฒญ๋…„์ทจ์—…์‚ฌ๊ด€ํ•™๊ต (SeSAC) Seoul Software Academy (SeSAC) ยท 30 ๋ช… students

25.06.01 ์˜จ๋ผ์ธ ๊ฐ•์˜ Online
25.04.23 ํŠน๊ฐ• Special

๋ฐ์ดํ„ฐ๋ถ„์„ ์ „๋ฌธ๊ฐ€ ์–‘์„ฑ ๊ณผ์ • (2025) Data Analysis Expert Training Course (2025)

ํ•œ๊ตญํ™˜๊ฒฝ๊ณต๋‹จ Korea Environment Corporation ยท 20 ๋ช… students

2024

24.10.25 ์˜จ๋ผ์ธ ๊ฐ•์˜ Online
24.10.25 ํŠน๊ฐ• Special

๋ฐ์ดํ„ฐ๋ถ„์„ ์ „๋ฌธ๊ฐ€ ์–‘์„ฑ ๊ณผ์ • (2024) Data Analysis Expert Training Course (2024)

ํ•œ๊ตญํ™˜๊ฒฝ๊ณต๋‹จ Korea Environment Corporation ยท 16 ๋ช… students

24.10.16 ํŠน๊ฐ• Special

2024 ๊ทœ์ œ๋ณ‘ํ•ด์ถฉ ์ข…ํ•ฉํ‰๊ฐ€ํšŒ ๊ณ„ํš โ€” QGIS ๊ณผ์ˆ˜ํ™”์ƒ๋ณ‘ ๋ฐœ์ƒ ์‹œ๊ฐํ™” 2024 Anti-Pest Comprehensive Evaluation โ€” QGIS Disease Visualization

์ถฉ๋‚จ๋†์—…๊ธฐ์ˆ ์› Chungcheongnam-do Agricultural Research and Extension Services ยท 20 ๋ช… students

24.10.02 ํŠน๊ฐ• Special

2024 ๋ฌผ๊ธฐ์—… ์žฌ์ง์ž ์—ญ๋Ÿ‰๊ฐ•ํ™” โ€” Q-GIS ์‹ค์Šต K-water Empowerment Training 2024 โ€” Q-GIS Practice

ํ•œ๊ตญ์ˆ˜์ž์›๊ณต์‚ฌ K-water ยท 30 ๋ช… students

24.09.01 ~ 24.12.31 ๋Œ€ํ•™ ๊ฐ•์˜ University

๊ณต๊ฐ„์ •๋ณด์˜ ์ดํ•ด์™€ ํ™œ์šฉ (3ํ•™์ ) Understanding and Application of Spatial Information (3 credits)

์ธ์ฒœ๋Œ€ํ•™๊ต Incheon National University ยท 40 ๋ช… students

24.07.08 ~ 24.07.10 ํŠน๊ฐ• Special

๊ณต๊ณต๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ์šฐ๋ฆฌํ•™๊ต ์ง€๋„ ๋งŒ๋“ค๊ธฐ (์„œ๋ฌธ์—ฌ๊ณ ) Map My School Using Public Data (Seomoon Girls' HS)

์„œ์šธ๋Œ€ํ•™๊ต ํ‰์ƒ๊ต์œก์› SNU ECSNU ยท 25 ๋ช… students

24.07.08 ~ 24.07.10 ํŠน๊ฐ• Special

๊ณต๊ณต๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ์šฐ๋ฆฌํ•™๊ต ์ง€๋„ ๋งŒ๋“ค๊ธฐ (์‚ผ์„ฑ๊ณ ) Map My School Using Public Data (Samsung HS)

์„œ์šธ๋Œ€ํ•™๊ต ํ‰์ƒ๊ต์œก์› SNU ECSNU ยท 15 ๋ช… students

24.05.11 ํŠน๊ฐ• Special

๊ณต๊ณต๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ์šฐ๋ฆฌํ•™๊ต ์ง€๋„ ๋งŒ๋“ค๊ธฐ (๋™๋ถ๊ณ ) Map My School Using Public Data (Dongbuk HS)

์„œ์šธ๋Œ€ํ•™๊ต ํ‰์ƒ๊ต์œก์› SNU ECSNU ยท 25 ๋ช… students

24.02.23 ํŠน๊ฐ• Special

WISE-UP WORKSHOP ๋„์‹œ๊ณต๊ฐ„ ๋ฐ์ดํ„ฐ ๋ถ„์„ WISE-UP WORKSHOP โ€” Urban Spatial Data Analysis

BK21 ์Šค๋งˆํŠธ์‹œํ‹ฐ ยท ์„œ์šธ๋Œ€ ํ™˜๊ฒฝ๋Œ€ํ•™์› BK21 SmartCity ยท SNU GSES ยท 25 ๋ช… students

2023

23.10.07 ~ 23.10.08 ํŠน๊ฐ• Special

QGIS ๊ธฐ์ดˆ ํŠน๊ฐ• QGIS Special Lecture: for Beginners

์ž์ฒด ์ฃผ๊ด€ Self-hosted ยท 30 ๋ช… students

23.08.22 ์˜จ๋ผ์ธ ๊ฐ•์˜ Online
23.06.19 ~ 23.06.20 ํŠน๊ฐ• Special

๋ฌผ๊ธฐ์—… ์žฌ์ง์ž ์—ญ๋Ÿ‰๊ฐ•ํ™” โ€” Q-GIS ์‹ค์Šต (์ดˆยท์ค‘๊ธ‰) K-water Empowerment Training โ€” Q-GIS Practice (Beginner / Intermediate)

ํ•œ๊ตญ์ˆ˜์ž์›๊ณต์‚ฌ K-water ยท 50 ๋ช… students

2022

22.12.07 ~ 22.12.09 ํŠน๊ฐ• Special

๋ณด๊ณ ์„œ๊ฐ€ ๋‹ฌ๋ผ์ง€๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” โ€” ๋ฐ์ดํ„ฐ ํ™œ์šฉ ์—ญ๋Ÿ‰๊ฐ•ํ™” ๊ต์œก(2๊ธฐ) Data Visualization for Better Reports โ€” Data Literacy (Cohort 2)

๊ฒฝ๊ธฐ๋„ ์ธ์žฌ๊ฐœ๋ฐœ์› Gyeonggi-do HRD Institute ยท 35 ๋ช… students

22.09.30 ์˜จ๋ผ์ธ ๊ฐ•์˜ Online

06 โ€” CAREER

๊ฒฝ๋ ฅ ยท ์ธํ„ด์‹ญ (6)

Work & Internships (6)

2023/09 โ€” 2025/03 ์Šคํƒ€ํŠธ์—… ๋Œ€ํ‘œ Startup CEO

TREE:ID TREE:ID

A web platform for individual-tree detection & mapping

๋Œ€ํ•œ๋ฏผ๊ตญ Republic of Korea ยท $71,428 startup grant

Patents: Tree-management platform system & method (reg. 2025) ยท Image-based roadside-tree information management (reg. 2024)

2024/07 โ€” 2024/08 ๋ฐฉ๋ฌธ ์—ฐ๊ตฌ์› Visiting Scholar
2023/12 โ€” 2024/02 ๋ฐฉ๋ฌธ ์—ฐ๊ตฌ์› Visiting Scholar
Purdue University FNR FUSE Lab (Prof. Brady Hardiman) Purdue University FNR FUSE Lab (Prof. Brady Hardiman)

๋ฏธ๊ตญ United States

Paper: A three-stage framework for stand-level automated stem segmentation (Remote Sensing of Environment, 2026; co-author)

2019/08 โ€” 2019/11 ์œ„์ด‰์—ฐ๊ตฌ์› Research Assistant
2016/09 โ€” 2017/02 ์ธํ„ด Internship

์ž๊ฒฉ์ฆ (4)

Certifications (4)

์ดˆ๊ฒฝ๋Ÿ‰๋น„ํ–‰์žฅ์น˜ ์กฐ์ข…์ž (2์ข…) Drone Pilot License

2024/10/25

1์ข… ์šด์ „๋ฉดํ—ˆ Driver's License

2024/10/16

์‚ฐ๋ฆผ๊ธฐ์‚ฌ Engineer Forest

2024/10/02

์กฐ๊ฒฝ๊ธฐ์‚ฌ Engineer Landscape Architecture

2016/08/05

07 โ€” FUNDING

ํŽ€๋”ฉ (4)

Funding & Fellowships (4)

2022/09 โ€” Present

์˜จ๋“œ๋ฆผ ๋ฏธ๋ž˜์‚ฐ์—… ์ธ์žฌ ๋Œ€ํ•™์› (2022๋…„ ์žฅํ•™์ƒ) OnDream Future Industry Talent Graduate School Scholarship (2022 Scholar)

ํ˜„๋Œ€์ฐจ ์ •๋ชฝ๊ตฌ ์žฌ๋‹จ ยท ์ „์•ก ์žฅํ•™๊ธˆ ยท ๊ธฐํƒ€ ์ง€์› Chung Mong-Koo Foundation ยท Full Scholarship ยท Other Supports ยท $25,000

2020/09 โ€” Present

BK21 4๋‹จ๊ณ„ โ€” ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ธ€๋กœ๋ฒŒ์œตํ•ฉ ํ˜์‹ ์ธ์žฌ์–‘์„ฑ ๊ต์œก์—ฐ๊ตฌ๋‹จ BK21 Four โ€” Integrated Major in SmartCity Global Convergence

BK21 ยท ํ•™์ƒ ์žฅํ•™๊ธˆ ยท ํ™œ๋™ ์žฅํ•™๊ธˆ BK21 ยท Student / Activity Scholarship ยท $39,285

2015/03 โ€” 2017/02

์ผ์ฃผํ•™์ˆ ๋ฌธํ™”์žฌ๋‹จ ๊ตญ๋‚ดํ•™์‚ฌ (23๊ธฐ ์žฅํ•™์ƒ) Ilju Foundation Undergraduate Scholarship (23rd Scholar)

์ผ์ฃผํ•™์ˆ ๋ฌธํ™”์žฌ๋‹จ ยท ์ „์•ก ์žฅํ•™๊ธˆ ยท ๊ธฐํƒ€ ์ง€์› Ilju Foundation ยท Full Scholarship ยท Other Supports ยท $10,714

2011/03 โ€” 2013/02

๋„์ „์žฅํ•™์ƒ (๊ต๋‚ด ์„ ๋ฐœ) Challenge Scholarship (On-campus)

๊ฒฝ๋ถ๋Œ€ํ•™๊ต ยท ์ „์•ก ์žฅํ•™๊ธˆ ยท ๊ธฐํƒ€ ์ง€์› Kyungpook National University ยท Full Scholarship ยท Other Supports ยท $18,571

08 โ€” RESEARCH PROJECTS

์ฐธ์—ฌ ์—ฐ๊ตฌ๊ณผ์ œ ยท ์—ญํ•  (12)

Participated Research Projects & Roles (12)

์ฐธ์—ฌํ•œ ๊ตญ๊ฐ€ R&D ยท ์ง€์ž์ฒด ์—ฐ๊ตฌ๊ณผ์ œ.

National and municipal research projects.

2025/07 โ€” 2025/11

์žฅํ•ญ ๊ตญ๊ฐ€์Šต์ง€๋ณต์›์‚ฌ์—… ์ƒํƒœ๊ณ„์กฐ์‚ฌ ๋ชจ๋‹ˆํ„ฐ๋ง ์šฉ์—ญ Janghang National Wetland Restoration Project โ€” Ecosystem Monitoring

ํ•œ๊ตญํ™˜๊ฒฝ๋ณด์ „์› ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Korea Environmental Conservation Institute ยท Researcher ยท PI: Prof. Youngkeun Song (SNU)

2024/06 โ€” 2025/05

๊ฒฝ๊ธฐ๋„ ๋น„์˜คํ†ฑ ์œ ํ˜•์„ ๊ณ ๋ คํ•œ ํƒ„์†Œ ์ €์žฅยทํก์ˆ˜๋Ÿ‰ ๋ถ„์„ ๋ฐ ์ •๋ณด๊ตฌ์ถ• ์—ฐ๊ตฌ Carbon storage/sink analysis and inventory build research for Gyeonggi-do considering biotope types

๊ฒฝ๊ธฐ์—ฐ๊ตฌ์› ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Gyeonggi Research Institute ยท Researcher ยท PI: Prof. Youngkeun Song (SNU)

  • โ€บ Analyzed province-wide vertical & horizontal forest structure from airborne LiDAR (ALS)
  • โ€บ Estimated forest carbon storage by fusing ALS, airborne hyperspectral, and PlanetScope imagery

Papers: Multi-scale forest typologies (Ecological Indicators, 2026; first author) ยท Post-fire structural loss via spaceborne LiDAR (Science of Remote Sensing, under review; first author) ยท Coastal-wetland Phragmitesโ€“Suaeda monitoring (Journal of Coastal Conservation, under review)

2023/04 โ€” 2027/12

์ƒํƒœ๊ณ„์„œ๋น„์Šค๋ฅผ ๊ณ ๋ คํ•œ ํƒ„์†Œํก์ˆ˜์› ํ†ตํ•ฉ๊ด€๋ฆฌ ๊ธฐ์ˆ ๊ฐœ๋ฐœ Integrated Assessment Tool for Carbon Reduction by Offset and Synergy with Ecosystem Services

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Youngkeun Song (SNU) ยท $1.13M

  • โ€บ Acquired 3-D vegetation structure (forest & abandoned-paddy wetland) using airborne & drone LiDAR
  • โ€บ Quantified carbon storage and linked canopy structure to ecosystem function

Papers: Insect diversity & ecological structure (Agric., Ecosyst. & Environ., 2026) ยท Rook habitat preferences (Global Ecology & Conservation, 2025)

2022/12 โ€” 2023/11

๊ฒฝ๊ธฐ๋„ ๋น„์˜คํ†ฑ ์†์„ฑ์ •๋ณด ๋ถ„์„ ์—ฐ๊ตฌ Gyeonggi-do Biotope Property Information Analysis Research

๊ฒฝ๊ธฐ์—ฐ๊ตฌ์› ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Gyeonggi Research Institute ยท Researcher ยท PI: Prof. Youngkeun Song (SNU)

2022/04 โ€” 2026/12

ํƒ„์†Œ์ถ•์  ๋ฌต๋…ผ์Šต์ง€ ์กฐ์„ฑ ๋ณต์› ๊ด€๋ฆฌ๊ธฐ์ˆ  Creation, Restoration & Management Technology of Carbon Accumulated Abandoned Paddy Wetland

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ๊ตฌ๋ณธํ•™ ๊ต์ˆ˜ (์ƒ๋ช…๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Bonhak Koo (Sangmyung Univ.) ยท $391K

  • โ€บ Mapped abandoned-paddy wetland sites and built field drone multispectral / LiDAR datasets
  • โ€บ Quantified vegetation carbon storage across paddy-wetland succession

Paper: Non-destructive carbon storage of Salix spp. (KOSERT, 2026)

Patent: Abandoned-paddy terrestrialization (pending)

2021/09 โ€” 2022/12

๊ณผ์ฒœ์‹œ ๋„์‹œ์ƒํƒœํ˜„ํ™ฉ์ง€๋„ ์ž‘์„ฑ ์—ฐ๊ตฌ ์šฉ์—ญ Gwacheon-si Urban Ecological Status Mapping Research

๊ฒฝ๊ธฐ์—ฐ๊ตฌ์› ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Gyeonggi Research Institute ยท Researcher ยท PI: Prof. Youngkeun Song (SNU)

  • โ€บ Classified forest types & tree species across Gwacheon-si forests and urban green spaces
  • โ€บ Analyzed the vertical & horizontal forest structure of the city-scale forest from ALS

Papers: Forest-type GEDIโ€“ALS canopy height (KOSERT, 2026; first author) ยท Systematic ALS-vs-field bias in urban-forest coverage (Geoscience Letters, under review; first author) ยท Bi-temporal ALS forest-structure assessment (Forest Science & Technology, under review; first author)

2021/04 โ€” 2023/12

์™ธ๋ž˜์ƒ๋ฌผ ๋งž์ถคํ˜• ์‹ค์‹œ๊ฐ„ ์›น ๊ธฐ๋ฐ˜ ์œ„์น˜์ •๋ณด ์ถ”์  ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ Developing A Real-Time Web-Based Positioning Surveillance System Customized For Introduced Exotic Species

ํ™˜๊ฒฝ๋ถ€ ยท ์ฑ…์ž„ ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Korean Ministry of Environment ยท Project Manager ยท PI: Prof. Youngkeun Song (SNU) ยท $863K

  • โ€บ Led the project end-to-end as managing researcher โ€” scheduling, budget, and outputs
  • โ€บ GPS-tracked four invasive species and built movement datasets
  • โ€บ Built drone multispectral / LiDAR / hyperspectral imagery of invasive-turtle habitats
  • โ€บ Developed a real-time positioning-tracking platform and species-control manuals

Paper: Invasive-turtle habitat model (Global Ecology & Conservation, under review)

Patents: Missing-point prediction (reg. 2023) ยท Optimal-capture range (pending)

2021/04 โ€” 2023/12

ITยทETยทBT ์œตํ•ฉ ์œ ์ž… ์™ธ๋ž˜์ƒ๋ฌผ ๋ถ„ํฌยทํ™•์‚ฐ ํƒ์ง€๋ชจ๋ธ ๊ฐœ๋ฐœ ์—ฐ๊ตฌ Developing ITยทETยทBT Convergence-Based Distribution And Spread Models For Introduced Exotic Species

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ๊ฐ•์™„๋ชจ ๊ต์ˆ˜ (๊ตญ๋ฏผ๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Wanmo Kang (Kookmin Univ.) ยท $464K

2020/04 โ€” 2022/12

๋„์‹œ์ƒํƒœ๊ณ„ ํ˜„์•ˆ๋Œ€์‘์„ ์œ„ํ•œ ๋‹ค์ค‘๊ธฐ๋ฐ˜ ๊ทธ๋ฆฐ์ธํ”„๋ผ ๊ธฐ์ˆ ๊ฐœ๋ฐœ Developing Redundancy-Based Green Infrastructure Technology Responding To The Pending Challenges In Urban Ecosystems

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Youngkeun Song (SNU) ยท $662K

2020/01 โ€” 2020/08

๊ณต๊ฐ„์œ ํ˜•๋ณ„ ๊ธฐํ›„ํ™˜๊ฒฝ ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์„ Monitoring And Simulation Analysis Of Climate Conditions By Spatial Type

์„œ์šธ์—ฐ๊ตฌ์› ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) The Seoul Institute ยท Researcher ยท PI: Prof. Youngkeun Song (SNU)

2019/04 โ€” 2022/12

๋„์‹œ ์ƒ๋ฌผ์ข… ๋งž์ถคํ˜• ์„œ์‹ํ™˜๊ฒฝ ๊ด€๋ฆฌ ๊ธฐ๋ฒ• ๊ฐœ๋ฐœ Development Of Customized Habitat Management Technique For Urban Species

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ๋ฐ•์ฐฌ ๊ต์ˆ˜ (์„œ์šธ์‹œ๋ฆฝ๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Chan Park (Univ. of Seoul) ยท $525K

  • โ€บ Developed a real-time wildlife-detection method using UAV thermal & RGB imagery
  • โ€บ Built and benchmarked UAV thermal/RGB datasets for terrestrial wildlife detection

Paper: Real-time UAV thermal/RGB wildlife detection (Remote Sensing, 2021)

Patent: UAV thermal wildlife-detection (reg. 2022)

2018/07 โ€” 2020/12

ํ›ผ์† ์œ ํ˜•๋ณ„ ์ง„๋‹จํ‰๊ฐ€ ์ฒด๊ณ„ ๋ฐ ์ƒํƒœ๋ณต์› ๋ชจ๋ธ ๊ฐœ๋ฐœ Developing The Assessment Scheme And Ecosystem Restoration Model Depending On The Degradation Types

ํ™˜๊ฒฝ๋ถ€ ยท ์ฐธ์—ฌ ์—ฐ๊ตฌ์› ยท PI: ์†ก์˜๊ทผ ๊ต์ˆ˜ (์„œ์šธ๋Œ€) Korean Ministry of Environment ยท Researcher ยท PI: Prof. Youngkeun Song (SNU) ยท $257K

09 โ€” PATENTS

ํŠนํ—ˆ (11)

Patents (11)

์ถœ์› ยท ๋“ฑ๋ก ํŠนํ—ˆ (๋Œ€ํ•œ๋ฏผ๊ตญ).

Applied and registered patents (Republic of Korea).

Registered

๋“ฑ๋ก ํŠนํ—ˆ ยท 7๊ฑด 7 registered

A method for determining wetland vegetation structure using drone LiDAR and a system for implementing it
Registered
2025

๋“œ๋ก  ๋ผ์ด๋‹ค๋ฅผ ํ™œ์šฉํ•œ ์Šต์ง€ ์‹์ƒ ๊ตฌ์กฐ ํŒ๋ณ„ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ๊ตฌํ˜„ํ•˜๋Š” ์‹œ์Šคํ…œ A method for determining wetland vegetation structure using drone LiDAR and a system for implementing it

๋ฐœ๋ช…์ž: Inventors: ๊น€๋Œ€์—ด, ๋…ธ์ง€์„ , ์†ก์˜๊ทผ, ์ด์Šนํ˜„, ํ•œ์Šน์šฐ DaeYeol Kim, Jiseon Ro, Youngkeun Song, Seunghyeon Lee, Seungwoo Han

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

App: 24.06.17 ยท Reg: 25.04.28
System And Method For Providing Tree Management Platform And Computer Program For The Same
Registered
2025 ํŠนํ—ˆ๊ถŒ์ž ๋ณธ์ธSelf-owned

์ˆ˜๋ชฉ ๊ด€๋ฆฌ ํ”Œ๋žซํผ ์ œ๊ณต ์‹œ์Šคํ…œ๊ณผ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์œ„ํ•œ ์ปดํ“จํ„ฐ ํ”„๋กœ๊ทธ๋žจ System And Method For Providing Tree Management Platform And Computer Program For The Same

๋ฐœ๋ช…์ž: Inventors: ์ด์Šนํ˜„ Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์ด์Šนํ˜„ Seunghyeon Lee

App: 23.09.14 ยท Reg: 25.09.17
System And Method For Management Of Information Of Roadside Trees Based On Images And Computer Program For The Same
Registered
2024 ํŠนํ—ˆ๊ถŒ์ž ๋ณธ์ธSelf-owned

์ด๋ฏธ์ง€ ๊ธฐ๋ฐ˜์˜ ๊ฐ€๋กœ์ˆ˜ ์ •๋ณด ๊ด€๋ฆฌ ์‹œ์Šคํ…œ๊ณผ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์œ„ํ•œ ์ปดํ“จํ„ฐ ํ”„๋กœ๊ทธ๋žจ System And Method For Management Of Information Of Roadside Trees Based On Images And Computer Program For The Same

๋ฐœ๋ช…์ž: Inventors: ์ด์Šนํ˜„ Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์ด์Šนํ˜„ Seunghyeon Lee

App: 23.08.10 ยท Reg: 24.11.26
Prediction method of missing location points of wild animal tracker by combining in-situ and biological information
Registered
2023

์•ผ์ƒ๋™๋ฌผ ์œ„์น˜์ถ”์  ๋ฐ์ดํ„ฐ์™€ ํ˜„์žฅ ๋ฐ ์ƒ๋ฌผ ์ •๋ณด๋ฅผ ๊ฒฐํ•ฉํ•œ ์œ„์น˜์ •๋ณด ๊ฒฐ์ธก์  ์˜ˆ์ธก ๋ฐฉ๋ฒ• Prediction method of missing location points of wild animal tracker by combining in-situ and biological information

๋ฐœ๋ช…์ž: Inventors: ๊น€์šฉํ™˜, ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Yonghwan Kim, Youngkeun Song, Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

App: 23.02.21 ยท Reg: 23.07.31
A method to create an optimal plan for outdoor thermal comfort mitigation
Registered
2022

์˜ฅ์™ธ ์—ด ์พŒ์ ์„ฑ ์™„ํ™”๋ฅผ ์œ„ํ•œ ์ตœ์  ๊ณ„ํš์•ˆ ๋„์ถœ ๋ฐฉ๋ฒ• A method to create an optimal plan for outdoor thermal comfort mitigation

๋ฐœ๋ช…์ž: Inventors: ๊ถŒ์˜ˆ๋นˆ, ๊น€๋„ํฌ, ๊น€์ข…ํฌ, ๊น€์ง€ํ™˜, ๋ฐ•์€ํฌ, ์†ก์˜๊ทผ, ์‹ ์šฐ๋ฆผ, ์œค์ง€์›, ์ด์Šนํ˜„ Yebin Kwon, Dohee Kim, Jonghee Kim, Jihwan Kim, Eunhee Park, Youngkeun Song, Yulin Shin, Jiweon Yun, Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

App: 21.06.17 ยท Reg: 22.04.12
Automated wild animal detection method and device by drone-mounted thermal camera shoot image
Registered
2022

๋ฌด์ธ๋น„ํ–‰์ฒด ํƒ‘์žฌ ์—ดํ™”์ƒ ์นด๋ฉ”๋ผ๋กœ ์ดฌ์˜ํ•œ ์•ผ์ƒ๋™๋ฌผ ๊ฐœ์ฒด ์ž๋™ ์„ ๋ณ„ ๋ฐฉ๋ฒ• ๋ฐ ์žฅ์น˜ Automated wild animal detection method and device by drone-mounted thermal camera shoot image

๋ฐœ๋ช…์ž: Inventors: ๊ธธ์Šนํ˜ธ, ๋ฐ•์ฐฌ, ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Sung-Ho Kil, Chan Park, Youngkeun Song, Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

App: 21.05.13 ยท Reg: 22.05.27
Self-heating object module for testing thermal image camera performance and accumulating precise data
Registered
2022

์—ดํ™”์ƒ ์นด๋ฉ”๋ผ ์„ฑ๋Šฅ ์‹œํ—˜ ๋ฐ ์ •๋ฐ€ ๋ฐ์ดํ„ฐ ์ถ•์ ์„ ์œ„ํ•œ ์ž๊ฐ€๋ฐœ์—ด ํ”ผ์‚ฌ์ฒด ๋ชจ๋“ˆ Self-heating object module for testing thermal image camera performance and accumulating precise data

๋ฐœ๋ช…์ž: Inventors: ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Youngkeun Song, Seunghyeon Lee

ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

App: 20.12.31 ยท Reg: 22.10.05
2025
Registered Reg 25.04.28
ํŠนํ—ˆ์ฆCert

๋“œ๋ก  ๋ผ์ด๋‹ค๋ฅผ ํ™œ์šฉํ•œ ์Šต์ง€ ์‹์ƒ ๊ตฌ์กฐ ํŒ๋ณ„ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ๊ตฌํ˜„ํ•˜๋Š” ์‹œ์Šคํ…œ A method for determining wetland vegetation structure using drone LiDAR and a system for implementing it

๋ฐœ๋ช…์ž: Inventors: ๊น€๋Œ€์—ด, ๋…ธ์ง€์„ , ์†ก์˜๊ทผ, ์ด์Šนํ˜„, ํ•œ์Šน์šฐ DaeYeol Kim, Jiseon Ro, Youngkeun Song, Seunghyeon Lee, Seungwoo Han ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

2025
Registered Reg 25.09.17 ํŠนํ—ˆ๊ถŒ์ž ๋ณธ์ธSelf-owned
ํŠนํ—ˆ์ฆCert

์ˆ˜๋ชฉ ๊ด€๋ฆฌ ํ”Œ๋žซํผ ์ œ๊ณต ์‹œ์Šคํ…œ๊ณผ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์œ„ํ•œ ์ปดํ“จํ„ฐ ํ”„๋กœ๊ทธ๋žจ System And Method For Providing Tree Management Platform And Computer Program For The Same

๋ฐœ๋ช…์ž: Inventors: ์ด์Šนํ˜„ Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์ด์Šนํ˜„ Seunghyeon Lee

2024
Registered Reg 24.11.26 ํŠนํ—ˆ๊ถŒ์ž ๋ณธ์ธSelf-owned
ํŠนํ—ˆ์ฆCert

์ด๋ฏธ์ง€ ๊ธฐ๋ฐ˜์˜ ๊ฐ€๋กœ์ˆ˜ ์ •๋ณด ๊ด€๋ฆฌ ์‹œ์Šคํ…œ๊ณผ ๋ฐฉ๋ฒ• ๋ฐ ์ด๋ฅผ ์œ„ํ•œ ์ปดํ“จํ„ฐ ํ”„๋กœ๊ทธ๋žจ System And Method For Management Of Information Of Roadside Trees Based On Images And Computer Program For The Same

๋ฐœ๋ช…์ž: Inventors: ์ด์Šนํ˜„ Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์ด์Šนํ˜„ Seunghyeon Lee

2023
Registered Reg 23.07.31
ํŠนํ—ˆ์ฆCert

์•ผ์ƒ๋™๋ฌผ ์œ„์น˜์ถ”์  ๋ฐ์ดํ„ฐ์™€ ํ˜„์žฅ ๋ฐ ์ƒ๋ฌผ ์ •๋ณด๋ฅผ ๊ฒฐํ•ฉํ•œ ์œ„์น˜์ •๋ณด ๊ฒฐ์ธก์  ์˜ˆ์ธก ๋ฐฉ๋ฒ• Prediction method of missing location points of wild animal tracker by combining in-situ and biological information

๋ฐœ๋ช…์ž: Inventors: ๊น€์šฉํ™˜, ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Yonghwan Kim, Youngkeun Song, Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

2022
Registered Reg 22.04.12
ํŠนํ—ˆ์ฆCert

์˜ฅ์™ธ ์—ด ์พŒ์ ์„ฑ ์™„ํ™”๋ฅผ ์œ„ํ•œ ์ตœ์  ๊ณ„ํš์•ˆ ๋„์ถœ ๋ฐฉ๋ฒ• A method to create an optimal plan for outdoor thermal comfort mitigation

๋ฐœ๋ช…์ž: Inventors: ๊ถŒ์˜ˆ๋นˆ, ๊น€๋„ํฌ, ๊น€์ข…ํฌ, ๊น€์ง€ํ™˜, ๋ฐ•์€ํฌ, ์†ก์˜๊ทผ, ์‹ ์šฐ๋ฆผ, ์œค์ง€์›, ์ด์Šนํ˜„ Yebin Kwon, Dohee Kim, Jonghee Kim, Jihwan Kim, Eunhee Park, Youngkeun Song, Yulin Shin, Jiweon Yun, Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

2022
Registered Reg 22.05.27
ํŠนํ—ˆ์ฆCert

๋ฌด์ธ๋น„ํ–‰์ฒด ํƒ‘์žฌ ์—ดํ™”์ƒ ์นด๋ฉ”๋ผ๋กœ ์ดฌ์˜ํ•œ ์•ผ์ƒ๋™๋ฌผ ๊ฐœ์ฒด ์ž๋™ ์„ ๋ณ„ ๋ฐฉ๋ฒ• ๋ฐ ์žฅ์น˜ Automated wild animal detection method and device by drone-mounted thermal camera shoot image

๋ฐœ๋ช…์ž: Inventors: ๊ธธ์Šนํ˜ธ, ๋ฐ•์ฐฌ, ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Sung-Ho Kil, Chan Park, Youngkeun Song, Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

2022
Registered Reg 22.10.05
ํŠนํ—ˆ์ฆCert

์—ดํ™”์ƒ ์นด๋ฉ”๋ผ ์„ฑ๋Šฅ ์‹œํ—˜ ๋ฐ ์ •๋ฐ€ ๋ฐ์ดํ„ฐ ์ถ•์ ์„ ์œ„ํ•œ ์ž๊ฐ€๋ฐœ์—ด ํ”ผ์‚ฌ์ฒด ๋ชจ๋“ˆ Self-heating object module for testing thermal image camera performance and accumulating precise data

๋ฐœ๋ช…์ž: Inventors: ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Youngkeun Song, Seunghyeon Lee ยท ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

Application

์ถœ์› ์ค‘ ยท 4๊ฑด 4 pending

25.11.07

์œ„์„ฑ ๋ผ์ด๋‹ค ๊ธฐ๋ฐ˜ ์‚ฐ๋ถˆ ํ”ผํ•ด ์ •๋Ÿ‰ํ™”์™€ ์ž๋™ ๋ถ„๋ฅ˜ ์‹œ์Šคํ…œ ๋ฐ ๋ฐฉ๋ฒ• Method and System for Quantitative Assessment and Automatic Classification of Wildfire Damage Using Spaceborne LiDAR

๋ฐœ๋ช…์ž: Inventors: ์†ก์˜๊ทผ, ์ด์Šนํ˜„, ์ตœํฌ์ค€ Youngkeun Song, Seunghyeon Lee, Dennis Heejoon Choi
ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ, ๋‹จ๊ตญ๋Œ€ํ•™๊ต ์ฒœ์•ˆ์บ ํผ์Šค ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University & Dankook University Cheonan Campus

25.09.16

์—ฐ์•ˆ์Šต์ง€ ๋‹ค์ค‘์‹œ๊ธฐ ์‹์ƒ์ง€์ˆ˜ ๊ธฐ๋ฐ˜ ์—ผ์ƒ์‹๋ฌผ ๋ถ„ํฌ ๋ชจ๋‹ˆํ„ฐ๋ง ๋ฐฉ๋ฒ• ๋ฐ ์‹œ์Šคํ…œ Method and System for Monitoring Halophyte Distribution Based on Multi-Period Vegetation Indices in Coastal Wetlands

๋ฐœ๋ช…์ž: Inventors: ๊น€์šฉํ™˜, ์†ก์˜๊ทผ, ์œค์ง€์›, ์ด์Šนํ˜„, ์ œ๊ฐˆ๊ฐ‘์„ฑ Yonghwan Kim, Youngkeun Song, Jiweon Yun, Seunghyeon Lee, Gapseong Jekal
ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

23.12.20

๋‹ค์ค‘์‹œ๊ธฐ ๋“œ๋ก  ๋ผ์ด๋‹ค์˜ ์ธต์œ„๋ณ„ ๋ถ€ํ”ผ๋ณ€ํ™” ํ™œ์šฉํ•œ ๋ฌต๋…ผ ์Šต์ง€ ์œกํ™” ํŒ๋ณ„๋ฐฉ๋ฒ• Determination method of change of abandoned paddy terrace wetland to land using multi-temporal drone lidar and stratigraphic volume change

๋ฐœ๋ช…์ž: Inventors: ๊น€๋Œ€์—ด, ๋…ธ์ง€์„ , ์†ก์˜๊ทผ, ์ด์Šนํ˜„, ํ•œ์Šน์šฐ DaeYeol Kim, Jiseon Ro, Youngkeun Song, Seunghyeon Lee, Seungwoo Han
ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

23.01.31

์•ผ์ƒ๋™๋ฌผ์˜ ์œ„์น˜์ถ”์  ๋ฐ์ดํ„ฐ์™€ ๋“œ๋ก  ์ดฌ์˜ ์ž๋ฃŒ๋ฅผ ์œตํ•ฉํ•œ ๋จธ์‹ ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์ตœ์  ํฌํš ๋ฒ”์œ„ ๋„์ถœ ๋ฐฉ๋ฒ• Method And System For Deriving Optimal Capture Range Based On Machine Learning By Convergence Of Wild Animal Location Tracking Data And Drone Footage

๋ฐœ๋ช…์ž: Inventors: ๊น€์šฉํ™˜, ์†ก์˜๊ทผ, ์ด์Šนํ˜„ Yonghwan Kim, Youngkeun Song, Seunghyeon Lee
ํŠนํ—ˆ๊ถŒ์ž: Owner: ์„œ์šธ๋Œ€ํ•™๊ต ์‚ฐํ•™ํ˜‘๋ ฅ๋‹จ Seoul National University

10 โ€” CONTACT

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Get in touch.

์—ฐ๊ตฌ ํ˜‘์—…, ๋ฐ์ดํ„ฐยท๋ถ„์„ ๋ฌธ์˜, ์ƒˆ๋กœ์šด ๋„์ „์— ๊ด€ํ•œ ์—ฐ๋ฝ์„ ํ™˜์˜ํ•ฉ๋‹ˆ๋‹ค.

Open to research collaborations, data and analysis inquiries, and new challenges.

© 2026 ์ด์Šนํ˜„ (Clay Lee) ยท All Rights Reserved. © 2026 Seunghyeon Lee (Clay Lee) ยท All Rights Reserved.