์์ฐ๊ณผ ํ๊ฒฝ์ ์ฌ๋ํ๋ ์ฐ๊ตฌ์์ ๋๋ค.
A researcher with a profound passion for nature and the environment.
์ฑ ์๊ฐ ์๊ฒ ์ฃผ๋์ ์ผ๋ก ํ ์ ์๋ ๋ชจ๋ ์ผ์ ์ข์ํฉ๋๋ค.
I take great pride in leading responsibly in all my endeavors.
์์ธ๋ํ๊ต ํ๋๊ณผ์ ์กฐ๊ฒฝํ ๋ฐ์ฌ๊ณผ์ ยท ์ํ๊ณํ์ฐ๊ตฌ์ค
Ph.D. Student ยท Seoul National University ยท Landscape & Ecological Planning Lab
01 โ ABOUT
๊ณต๊ฐ ๋ฐ์ดํฐ์ ์๊ฒฉํ์ฌ๋ฅผ ํ์ฉํด ์ฐ๋ฆผยท๋์ ์ํ๊ณ์ ๊ตฌ์กฐ์ ๊ธฐ๋ฅ์ ์ดํดํ๊ณ ์ ํฉ๋๋ค.
์ฃผ์ ๊ด์ฌ์ฌ๋ ํญ๊ณต/์์ฑ LiDAR (GEDI ํฌํจ) ๊ธฐ๋ฐ ์ฐ๋ฆผ ์์ง ๊ตฌ์กฐ ๋ถ์, ๋์์ํ๊ณ ๊ธฐ๋ฐ ๊ทธ๋ฆฐ์ธํ๋ผ, ๊ทธ๋ฆฌ๊ณ ๋ฐ์ดํฐยท์ฝ๋ ๊ธฐ๋ฐ ์ฌํ ๊ฐ๋ฅํ ์ฐ๊ตฌ์ ๋๋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 (incl. GEDI) for vertical forest structure, green infrastructure for urban ecosystems, and reproducible data- and code-driven science.
์ฐ๊ตฌ ๊ด์ฌ๋ถ์ผ
Research interests
๊ฒ์ฌ ๋ ผ๋ฌธ Publications
9+ ํธ papers
ํํ ๋ฐํ Conference talks
25+ ๊ฑด presentations
์ฐ๊ตฌ ๊ณผ์ Projects
12 ๊ฑด projects
ํนํ Patents
11 ๊ฑด patents
์ถ๊ฐ ยท ๊ฐ์ Lectures taught
20+ ๊ฑด lectures
์จ๋ผ์ธ ๊ฐ์ Online courses
4 ๊ฐ courses
02 โ EDUCATION
2022.03 โ Present
์์ธ๋ํ๊ต Seoul National University, Seoul, Republic of Korea
์ํ๊ณํ์ฐ๊ตฌ์ค ยท ์ง๋๊ต์: ์ก์๊ทผ ๊ต์ Landscape & Ecological Planning Lab ยท Advisor: Prof. Youngkeun Song
2020.03 โ 2022.02
์์ธ๋ํ๊ต ํ๊ฒฝ๋ํ์ Graduate School of Environmental Studies, Seoul National University
์ํ๊ณํ์ฐ๊ตฌ์ค ยท ์ง๋๊ต์: ์ก์๊ทผ ๊ต์ Landscape & Ecological Planning Lab ยท Advisor: Prof. Youngkeun Song
2011.03 โ 2017.02
๊ฒฝ๋ถ๋ํ๊ต ๋์ ์๋ช ๊ณผํ๋ํ College of Agriculture & Life Sciences, Kyungpook National University, Daegu, Republic of Korea
03 โ PUBLICATIONS
Peer-reviewed ํ์ ๋ ผ๋ฌธ ๋ชฉ๋ก. ์ต์ ์์ผ๋ก ์ ๋ ฌ.
Peer-reviewed publications, sorted by most recent.
KOSERT
Gukhwa Jang, Seunghyeon Lee, Sung-Ho Kil, Youngkeun Song
KOSERT
Seunghyeon Lee, Youngkeun Song
Ecological Indicators ยท IF 7.4 (2026)
Seunghyeon Lee, Uirin Ha, Heejae Lee, Hyeyeong Choe, Hansoo Kim, Youngkeun Song
KOSERT
Gapseong Jekal, Seunghyeon Lee, Youngeun Yang, Youngkeun Song
Remote Sensing of Environment ยท IF 11.4 (2026)
Jinyuan Shao, Dennis Heejoon Choi, Jidong Liu, Xiangxi Tian, Bina Thapa, Seunghyeon Lee, Ayman Habib, Songlin Fei
Agriculture, Ecosystems & Environment ยท IF 6.4 (2026)
Jaeyeon Kim, Seungwoo Han, Jiweon Yun, Seunghyeon Lee, Youngkeun Song
Global Ecology and Conservation ยท IF 3.4 (2025)
Jiweon Yun, Seunghyeon Lee, Youngkeun Song
KOSERT (ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ์ง)
Younha Han, Wonhyeop Shin, Jihwan Kim, Dohee Kim, Jiweon Yun, Sokyoung Yi, Yonghwan Kim, Seunghyeon Lee, Youngkeun Song
04 โ CONFERENCES
1์ ์ ๋๋ ๋ฐํ์(presenter)์ธ ๊ตญ๋ดยท๊ตญ์ ํํ ๋ฐํ.
Domestic and international presentations where I am first author or presenter.
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) ยท ๋ฏธ๊ตญ ๋ด์ฌ๋ฆฌ์ธ์ค New Orleans, US
์ฐ๋ฆผ ์ธต์๊ตฌ์กฐ ์ง์์ ๊ฐ๋ฐ๊ณผ ํ์์ ์ฅ๋๊ณผ์ ์๊ด๊ด๊ณ ๋ถ์ Development of forest layer-structure indices and their correlation with carbon storage
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2025 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์์ธ Seoul, Republic of Korea
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) ยท ๋ฏธ๊ตญ ์์ฑํด D.C. Washington D.C, US
Invasive species monitoring development and its application Invasive species monitoring development and its application
Asia Week ยท ์ผ๋ณธ ํ์ฟ ์ค์นด / ์จ๋ผ์ธ Fukuoka, Japan / Online
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) ยท ์ผ๋ณธ ๊ธฐํํ์ Kitakyushu, Japan
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) ยท ๋ฏธ๊ตญ ๋กฑ๋น์น Long Beach, CA, US
ํญ๊ณต๋ผ์ด๋ค๋ฅผ ํ์ฉํ ๊ณผ์ฒ์ ์ฐ๋ฆผ ์ธต์๋ณ ํผ๋ณต ๋ฉด์ ๋ฐ ๋ณํ๋ ๋ถ์ Analyzing the vegetation area of each forest layer and its change of Gwacheon-si using airborne LiDAR
ํ๊ตญํ๊ฒฝ์ํํํ / KSEE (2024 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์ํฅ Siheung, Republic of Korea
Remotely sensed Smartcity ecological value maps Remotely sensed Smartcity ecological value maps
NEF (Neocity Empowerment Forum) ยท ๋ฏธ๊ตญ ์ฌ๋๋ Orlando, FL, US
Smart City & Green Infrastructure Smart City & Green Infrastructure
CES (Consumer Electronics Show) ยท ๋ฏธ๊ตญ ๋ผ์ค๋ฒ ๊ฐ์ค Las Vegas, NV, US
์์ฑ๋ผ์ด๋ค GEDI๋ฅผ ํ์ฉํ์ฌ ์์ข ๊ณผ ์๊ธฐ์ ๋ฐ๋ผ ์์๋ณ ์์ ์์ง ๊ตฌ์กฐ ๋ฐ ๋ฉด์ ๋ณํ ๋น๊ต ์ฐ๊ตฌ GEDI-based comparison of vegetation vertical structure and area change by tree species and seasons
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2023 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์ ์ฃผ Jeju, Republic of Korea
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) ยท ์ผ๋ณธ ๊ตํ Kyoto, Japan
Wildfire driven forest vegetation height change comparison Wildfire driven forest vegetation height change comparison
JCK (Japan-China-Korea Landscape Architectural Symposium, 18th) ยท ์ผ๋ณธ ๊ตํ Kyoto, Japan
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) ยท ๋ฏธ๊ตญ ํฌํ๋๋ Portland, OR, US
Monitoring structural change of fire-induced forest vegetation using GEDI Monitoring structural change of fire-induced forest vegetation using GEDI
ICLEE (12th) ยท ์จ๋ผ์ธ Online
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) ยท ๋ฏธ๊ตญ ์์นด๊ณ / ์จ๋ผ์ธ Chicago, IL, US / Online
์์ ์ข ๋ฅ์ ์ดฌ์ ์๊ธฐ์ ๋ฐ๋ฅธ ์์ฑ ๋ผ์ด๋ค GEDI์ ํญ๊ณต ๋ผ์ด๋ค์ ์๊ด๊ณ์ ๋ถ์์ ํตํ ํ์ฅ ์ผ์น์ฑ ํ์ธ GEDI vs. airborne LiDAR correlation by vegetation type and season
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2022 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์ ์ฃผ Jeju, Republic of Korea
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) ยท ๋ํ๋ฏผ๊ตญ ์์ธ Seoul, Republic of Korea
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) ยท ๋ํ๋ฏผ๊ตญ ์์ธ Seoul, Republic of Korea
์์ฑ๋ผ์ด๋ค GEDI๋ฅผ ํ์ฉํ ์๋ ์ง์ญ ์ฐ๋ถ ์ ํ์ ์์ ์์ง๊ตฌ์กฐ ๋ณํ ํ์ GEDI-based vegetation vertical structure change before/after Andong wildfire
ํ๊ตญ์กฐ๊ฒฝํํ / KILA (2022 ์ถ๊ณ) ยท ์จ๋ผ์ธ Online
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) ยท ๋ฏธ๊ตญ ๋ด์ฌ๋ฆฌ์ธ์ค / ์จ๋ผ์ธ New Orleans, LA, US / Online
๋ฌด์ธ๋นํ์ฒด ์ดฌ์ ์ดํ์ ๋ฐ ์คํ์ ์ด๋ฏธ์ง์ ์กฐํฉ์ ๋ฐ๋ฅธ ์ก์๋๋ฌผ ํ์ง์จ ๋ถ์ Wildlife detection rate analysis using UAV thermal and RGB image combinations
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2021 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์ ์ฃผ Jeju, Republic of Korea
๋ฌด์ธ๋นํ์ฒด ์ดํ์ ์นด๋ฉ๋ผ ์ดฌ์ ์ดํ์ ์ด๋ฏธ์ง์ ์คํ์ ์ด๋ฏธ์ง๋ฅผ ์ฌ์ฉํ ์ผ์๋๋ฌผ ์๋ ํ์ง ํ์ฉ๋ฐฉ๋ฒ ์ฐ๊ตฌ Automated wildlife detection using UAV thermal and RGB imagery
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2021 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์์ธ Seoul, Republic of Korea
์์์ ๋ น์ง ์๋น์ค ๊ณต๊ธ๊ณผ ์์ ๊ฐญ๋ถ์์ ํตํ ๊ณต๊ธ ์ํ ๋ฐ ๋ถ์กฑ์ง์ญ ๋์ถ Anyang City green space supply-demand gap analysis
ํ๊ตญ์กฐ๊ฒฝํํ / KILA (2021 ์ถ๊ณ) ยท ์จ๋ผ์ธ Online
๋ฌด์ธ๋นํ์ฒด ํ์ฌ ์ดํ์ ์ผ์ ์ดฌ์ํ๊ฒฝ์ ๋ฐ๋ฅธ ์ผ์๋๋ฌผ ํ์ง๊ฐ๋ฅ์ฑ ์ฐ๊ตฌ UAV-mounted thermal sensor wildlife detection feasibility under varying conditions
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2020 ์ถ๊ณ) ยท ๋ํ๋ฏผ๊ตญ ์ ์ฃผ Jeju, Republic of Korea
๋ฌด์ธ๋นํ์ฒด์ ์ดํ์ ์ผ์๋ฅผ ํ์ฉํ ์ผ์๋๋ฌผ ๊ฐ์ฒด ์ ํ์ง๋ฐฉ๋ฒ์ ๋ํ ์ฐ๊ตฌ๋ํฅ ๋ถ์ Trend analysis on UAV/thermal-based wildlife population detection
ํ๊ตญํ๊ฒฝ๋ณต์๊ธฐ์ ํํ / KOSERT (2020 ์ถ๊ณ) ยท ์จ๋ผ์ธ Online
05 โ RESEARCH PROJECTS
์ฐธ์ฌํ ๊ตญ๊ฐ R&D ยท ์ง์์ฒด ์ฐ๊ตฌ๊ณผ์ .
National and municipal research projects.
์ฅํญ ๊ตญ๊ฐ์ต์ง๋ณต์์ฌ์ ์ํ๊ณ์กฐ์ฌ ๋ชจ๋ํฐ๋ง ์ฉ์ญ Janghang National Wetland Restoration Project โ Ecosystem Monitoring
ํ๊ตญํ๊ฒฝ๋ณด์ ์ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korea Environmental Conservation Institute ยท Researcher
๊ฒฝ๊ธฐ๋ ๋น์คํฑ ์ ํ์ ๊ณ ๋ คํ ํ์ ์ ์ฅยทํก์๋ ๋ถ์ ๋ฐ ์ ๋ณด๊ตฌ์ถ ์ฐ๊ตฌ Carbon storage/sink analysis and inventory build research for Gyeonggi-do considering biotope types
๊ฒฝ๊ธฐ์ฐ๊ตฌ์ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Gyeonggi Research Institute ยท Researcher
์ํ๊ณ์๋น์ค๋ฅผ ๊ณ ๋ คํ ํ์ํก์์ ํตํฉ๊ด๋ฆฌ ๊ธฐ์ ๊ฐ๋ฐ Integrated Assessment Tool for Carbon Reduction by Offset and Synergy with Ecosystem Services
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
๊ฒฝ๊ธฐ๋ ๋น์คํฑ ์์ฑ์ ๋ณด ๋ถ์ ์ฐ๊ตฌ Gyeonggi-do Biotope Property Information Analysis Research
๊ฒฝ๊ธฐ์ฐ๊ตฌ์ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Gyeonggi Research Institute ยท Researcher
ํ์์ถ์ ๋ฌต๋ ผ์ต์ง ์กฐ์ฑ ๋ณต์ ๊ด๋ฆฌ๊ธฐ์ Creation, Restoration & Management Technology of Carbon Accumulated Abandoned Paddy Wetland
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
๊ณผ์ฒ์ ๋์์ํํํฉ์ง๋ ์์ฑ ์ฐ๊ตฌ ์ฉ์ญ Gwacheon-si Urban Ecological Status Mapping Research
๊ฒฝ๊ธฐ์ฐ๊ตฌ์ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Gyeonggi Research Institute ยท Researcher
์ธ๋์๋ฌผ ๋ง์ถคํ ์ค์๊ฐ ์น ๊ธฐ๋ฐ ์์น์ ๋ณด ์ถ์ ์์คํ ๊ฐ๋ฐ Developing A Real-Time Web-Based Positioning Surveillance System Customized For Introduced Exotic Species
ํ๊ฒฝ๋ถ ยท ์ฑ ์ ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Project Manager
ITยทETยทBT ์ตํฉ ์ ์ ์ธ๋์๋ฌผ ๋ถํฌยทํ์ฐ ํ์ง๋ชจ๋ธ ๊ฐ๋ฐ ์ฐ๊ตฌ Developing ITยทETยทBT Convergence-Based Distribution And Spread Models For Introduced Exotic Species
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
๋์์ํ๊ณ ํ์๋์์ ์ํ ๋ค์ค๊ธฐ๋ฐ ๊ทธ๋ฆฐ์ธํ๋ผ ๊ธฐ์ ๊ฐ๋ฐ Developing Redundancy-Based Green Infrastructure Technology Responding To The Pending Challenges In Urban Ecosystems
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
๊ณต๊ฐ์ ํ๋ณ ๊ธฐํํ๊ฒฝ ๋ชจ๋ํฐ๋ง ๋ฐ ์๋ฎฌ๋ ์ด์ ๋ถ์ Monitoring And Simulation Analysis Of Climate Conditions By Spatial Type
์์ธ์ฐ๊ตฌ์ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ The Seoul Institute ยท Researcher
๋์ ์๋ฌผ์ข ๋ง์ถคํ ์์ํ๊ฒฝ ๊ด๋ฆฌ ๊ธฐ๋ฒ ๊ฐ๋ฐ Development Of Customized Habitat Management Technique For Urban Species
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
ํผ์ ์ ํ๋ณ ์ง๋จํ๊ฐ ์ฒด๊ณ ๋ฐ ์ํ๋ณต์ ๋ชจ๋ธ ๊ฐ๋ฐ Developing The Assessment Scheme And Ecosystem Restoration Model Depending On The Degradation Types
ํ๊ฒฝ๋ถ ยท ์ฐธ์ฌ ์ฐ๊ตฌ์ Korean Ministry of Environment ยท Researcher
06 โ PATENTS
์ถ์ ยท ๋ฑ๋ก ํนํ (๋ํ๋ฏผ๊ตญ).
Applied and registered patents (Republic of Korea).
๋ฑ๋ก ํนํ ยท 7๊ฑด 7 registered
๋ฐ๋ช ์: Inventors: ๊น๋์ด, ๋ ธ์ง์ , ์ก์๊ทผ, ์ด์นํ, ํ์น์ฐ
ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
๋ฐ๋ช ์: Inventors: ์ด์นํ
ํนํ๊ถ์: Owner: ์ด์นํ Seunghyeon Lee
๋ฐ๋ช ์: Inventors: ์ด์นํ
ํนํ๊ถ์: Owner: ์ด์นํ Seunghyeon Lee
๋ฐ๋ช ์: Inventors: ๊น์ฉํ, ์ก์๊ทผ, ์ด์นํ
ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
๋ฐ๋ช ์: Inventors: ๊ถ์๋น, ๊น๋ํฌ, ๊น์ข ํฌ, ๊น์งํ, ๋ฐ์ํฌ, ์ก์๊ทผ, ์ ์ฐ๋ฆผ, ์ค์ง์, ์ด์นํ
ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
๋ฐ๋ช ์: Inventors: ๊ธธ์นํธ, ๋ฐ์ฐฌ, ์ก์๊ทผ, ์ด์นํ
ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
๋ฐ๋ช ์: Inventors: ์ก์๊ทผ, ์ด์นํ
ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
์ถ์ ์ค ยท 4๊ฑด 4 pending
์์ฑ ๋ผ์ด๋ค ๊ธฐ๋ฐ ์ฐ๋ถ ํผํด ์ ๋ํ์ ์๋ ๋ถ๋ฅ ์์คํ ๋ฐ ๋ฐฉ๋ฒ Method and System for Quantitative Assessment and Automatic Classification of Wildfire Damage Using Spaceborne LiDAR
๋ฐ๋ช ์: Inventors: ์ก์๊ทผ, ์ด์นํ, ์ตํฌ์ค ยท ํนํ๊ถ์: Owner: ๋จ๊ตญ๋ํ๊ต ์ฒ์์บ ํผ์ค ์ฐํํ๋ ฅ๋จ, ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Dankook University Cheonan Campus & Seoul National University
์ฐ์์ต์ง ๋ค์ค์๊ธฐ ์์์ง์ ๊ธฐ๋ฐ ์ผ์์๋ฌผ ๋ถํฌ ๋ชจ๋ํฐ๋ง ๋ฐฉ๋ฒ ๋ฐ ์์คํ Method and System for Monitoring Halophyte Distribution Based on Multi-Period Vegetation Indices in Coastal Wetlands
๋ฐ๋ช ์: Inventors: ๊น์ฉํ, ์ก์๊ทผ, ์ค์ง์, ์ด์นํ, ์ ๊ฐ๊ฐ์ฑ ยท ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
๋ค์ค์๊ธฐ ๋๋ก ๋ผ์ด๋ค์ ์ธต์๋ณ ๋ถํผ๋ณํ ํ์ฉํ ๋ฌต๋ ผ ์ต์ง ์กํ ํ๋ณ๋ฐฉ๋ฒ Determination method of change of abandoned paddy terrace wetland to land using multi-temporal drone lidar and stratigraphic volume change
๋ฐ๋ช ์: Inventors: ๊น๋์ด, ๋ ธ์ง์ , ์ก์๊ทผ, ์ด์นํ, ํ์น์ฐ ยท ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
์ผ์๋๋ฌผ์ ์์น์ถ์ ๋ฐ์ดํฐ์ ๋๋ก ์ดฌ์ ์๋ฃ๋ฅผ ์ตํฉํ ๋จธ์ ๋ฌ๋ ๊ธฐ๋ฐ ์ต์ ํฌํ ๋ฒ์ ๋์ถ ๋ฐฉ๋ฒ Method And System For Deriving Optimal Capture Range Based On Machine Learning By Convergence Of Wild Animal Location Tracking Data And Drone Footage
๋ฐ๋ช ์: Inventors: ๊น์ฉํ, ์ก์๊ทผ, ์ด์นํ ยท ํนํ๊ถ์: Owner: ์์ธ๋ํ๊ต ์ฐํํ๋ ฅ๋จ Seoul National University
07 โ TEACHING
๋ํ ์ ๊ท์์ ยทํน๊ฐยท์ธํ๋ฐ ์จ๋ผ์ธ ๊ฐ์.
University lectures, special workshops, and online courses on Inflearn.
GIS ์ดํด ๋ฐ DBMS๋ฅผ ํตํ ๊ณต๊ฐ ๋ถ์ ๋ฐ ๋ฐ์ดํฐ ์๊ฐํ (์ฌํ) Understanding GIS and Performing Spatial Analysis and Data Visualization Using DBMS (Advanced)
ํ๋NGV Hyundai NGV ยท 20 ๋ช students
GIS ์ดํด ๋ฐ DBMS๋ฅผ ํตํ ๊ณต๊ฐ ๋ถ์ ๋ฐ ๋ฐ์ดํฐ ์๊ฐํ (๊ธฐ์ด) Understanding GIS and Performing Spatial Analysis and Data Visualization Using DBMS (Basic)
ํ๋NGV Hyundai NGV ยท 20 ๋ช students
2025 ๋ฌผ๊ธฐ์ ์ฌ์ง์ ์ญ๋๊ฐํ โ Q-GIS ์ค์ต K-water Empowerment Training 2025 โ Q-GIS Practice
ํ๊ตญ์์์๊ณต์ฌ K-water ยท 30 ๋ช students
๊ณต๊ฐ์ ๋ณด์ ์ดํด์ ํ์ฉ (3ํ์ ) Understanding and Application of Spatial Information (3 credits)
์ธ์ฒ๋ํ๊ต Incheon National University ยท 30 ๋ช students
AI ๋น ๋ฐ์ดํฐ๋ถ์๊ฐ ์์ฑ๊ณผ์ โ GIS SeSAC AI Big Data Analyst Training Course โ GIS
์์ธ์ฒญ๋ ์ทจ์ ์ฌ๊ดํ๊ต (SeSAC) Seoul Software Academy (SeSAC) ยท 30 ๋ช students
์ธํ๋ฐ Inflearn ยท 145 ๋ช students
๋ฐ์ดํฐ๋ถ์ ์ ๋ฌธ๊ฐ ์์ฑ ๊ณผ์ (2025) Data Analysis Expert Training Course (2025)
ํ๊ตญํ๊ฒฝ๊ณต๋จ Korea Environment Corporation ยท 20 ๋ช students
์ธํ๋ฐ Inflearn ยท 115 ๋ช students
๋ฐ์ดํฐ๋ถ์ ์ ๋ฌธ๊ฐ ์์ฑ ๊ณผ์ (2024) Data Analysis Expert Training Course (2024)
ํ๊ตญํ๊ฒฝ๊ณต๋จ Korea Environment Corporation ยท 16 ๋ช students
2024 ๊ท์ ๋ณํด์ถฉ ์ข ํฉํ๊ฐํ ๊ณํ โ QGIS ๊ณผ์ํ์๋ณ ๋ฐ์ ์๊ฐํ 2024 Anti-Pest Comprehensive Evaluation โ QGIS Disease Visualization
์ถฉ๋จ๋์ ๊ธฐ์ ์ Chungcheongnam-do Agricultural Research and Extension Services ยท 20 ๋ช students
2024 ๋ฌผ๊ธฐ์ ์ฌ์ง์ ์ญ๋๊ฐํ โ Q-GIS ์ค์ต K-water Empowerment Training 2024 โ Q-GIS Practice
ํ๊ตญ์์์๊ณต์ฌ K-water ยท 30 ๋ช students
๊ณต๊ฐ์ ๋ณด์ ์ดํด์ ํ์ฉ (3ํ์ ) Understanding and Application of Spatial Information (3 credits)
์ธ์ฒ๋ํ๊ต Incheon National University ยท 40 ๋ช students
๊ณต๊ณต๋ฐ์ดํฐ๋ฅผ ํ์ฉํ ์ฐ๋ฆฌํ๊ต ์ง๋ ๋ง๋ค๊ธฐ (์๋ฌธ์ฌ๊ณ ) Map My School Using Public Data (Seomoon Girls' HS)
์์ธ๋ํ๊ต ํ์๊ต์ก์ SNU ECSNU ยท 25 ๋ช students
๊ณต๊ณต๋ฐ์ดํฐ๋ฅผ ํ์ฉํ ์ฐ๋ฆฌํ๊ต ์ง๋ ๋ง๋ค๊ธฐ (์ผ์ฑ๊ณ ) Map My School Using Public Data (Samsung HS)
์์ธ๋ํ๊ต ํ์๊ต์ก์ SNU ECSNU ยท 15 ๋ช students
๊ณต๊ณต๋ฐ์ดํฐ๋ฅผ ํ์ฉํ ์ฐ๋ฆฌํ๊ต ์ง๋ ๋ง๋ค๊ธฐ (๋๋ถ๊ณ ) Map My School Using Public Data (Dongbuk HS)
์์ธ๋ํ๊ต ํ์๊ต์ก์ SNU ECSNU ยท 25 ๋ช students
WISE-UP WORKSHOP ๋์๊ณต๊ฐ ๋ฐ์ดํฐ ๋ถ์ WISE-UP WORKSHOP โ Urban Spatial Data Analysis
BK21 ์ค๋งํธ์ํฐ ยท ์์ธ๋ ํ๊ฒฝ๋ํ์ BK21 SmartCity ยท SNU GSES ยท 25 ๋ช students
QGIS ๊ธฐ์ด ํน๊ฐ QGIS Special Lecture: for Beginners
์์ฒด ์ฃผ๊ด Self-hosted ยท 30 ๋ช students
์ธํ๋ฐ Inflearn ยท 180 ๋ช students
๋ฌผ๊ธฐ์ ์ฌ์ง์ ์ญ๋๊ฐํ โ Q-GIS ์ค์ต (์ดยท์ค๊ธ) K-water Empowerment Training โ Q-GIS Practice (Beginner / Intermediate)
ํ๊ตญ์์์๊ณต์ฌ K-water ยท 50 ๋ช students
๋ณด๊ณ ์๊ฐ ๋ฌ๋ผ์ง๋ ๋ฐ์ดํฐ ์๊ฐํ โ ๋ฐ์ดํฐ ํ์ฉ ์ญ๋๊ฐํ ๊ต์ก(2๊ธฐ) Data Visualization for Better Reports โ Data Literacy (Cohort 2)
๊ฒฝ๊ธฐ๋ ์ธ์ฌ๊ฐ๋ฐ์ Gyeonggi-do HRD Institute ยท 35 ๋ช students
์ธํ๋ฐ Inflearn ยท 310 ๋ช students
08 โ CAREER
๋ฏธ๊ตญ United States
๋ํ๋ฏผ๊ตญ Republic of Korea
๋ํ๋ฏผ๊ตญ Republic of Korea
09 โ HONORS
์ฅํ๊ธ
Scholarships
2022/09 โ Present
์จ๋๋ฆผ ๋ฏธ๋์ฐ์ ์ธ์ฌ ๋ํ์ (2022๋ ์ฅํ์) OnDream Future Industry Talent Graduate School Scholarship (2022 Scholar)
ํ๋์ฐจ ์ ๋ชฝ๊ตฌ ์ฌ๋จ ยท ์ ์ก ์ฅํ๊ธ ยท ๊ธฐํ ์ง์ Chung Mong-Koo Foundation ยท Full Scholarship ยท Other Supports
2020/09 โ Present
BK21 4๋จ๊ณ โ ์ค๋งํธ์ํฐ ๊ธ๋ก๋ฒ์ตํฉ ํ์ ์ธ์ฌ์์ฑ ๊ต์ก์ฐ๊ตฌ๋จ BK21 Four โ Integrated Major in SmartCity Global Convergence
BK21 ยท ํ์ ์ฅํ๊ธ ยท ํ๋ ์ฅํ๊ธ BK21 ยท Student / Activity Scholarship
2015/03 โ 2017/02
์ผ์ฃผํ์ ๋ฌธํ์ฌ๋จ ๊ตญ๋ดํ์ฌ (23๊ธฐ ์ฅํ์) Ilju Foundation Undergraduate Scholarship (23rd Scholar)
์ผ์ฃผํ์ ๋ฌธํ์ฌ๋จ ยท ์ ์ก ์ฅํ๊ธ ยท ๊ธฐํ ์ง์ Ilju Foundation ยท Full Scholarship ยท Other Supports
2011/03 โ 2013/02
๋์ ์ฅํ์ (๊ต๋ด ์ ๋ฐ) Challenge Scholarship (On-campus)
๊ฒฝ๋ถ๋ํ๊ต ยท ์ ์ก ์ฅํ๊ธ ยท ๊ธฐํ ์ง์ Kyungpook National University ยท Full Scholarship ยท Other Supports
์๊ฒฉ์ฆ
Certifications
์ด๊ฒฝ๋๋นํ์ฅ์น ์กฐ์ข ์ (2์ข ) Drone Pilot License (Class 2)
2024/10/25
1์ข ์ด์ ๋ฉดํ Driver's License (Type 1)
2024/10/16
์ฐ๋ฆผ๊ธฐ์ฌ Engineer Forest
2024/10/02
์กฐ๊ฒฝ๊ธฐ์ฌ Engineer Landscape Architecture
2016/08/05
์ ์
Books
์์ฆ๋์ YOZMDOSI ยท ์ด๋ฐ์ด์ Urban Issue
ISBN 9791197343100
์คํฌ & ํด
Skills & Tools
์ธ์ด
Languages
๋๊ตฌ ยท ๊ธฐ์
Tools & Tech
10 โ CONTACT
์ฐฝ์ยท๋์ ยทํ์ ๊ณผ ๊ด๋ จํ ๋ชจ๋ ํฅ๋ฏธ๋ก์ด ์ฐ๋ฝ์ ๊ธฐ๋ค๋ฆฌ๊ณ ์์ต๋๋ค.
Open to interesting conversations around creativity, challenge, and innovation.