Mii-Yeon An

Dr. Mii-Yeon An

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 June 2018 in Korean Journal of Environment and Ecology
Verified
Journal Article
Closed access
PAPusan National Univ. Dept. Of Landscape Architecture
Pusan National Univ. Dept. Of Landscape Architecture
SHSuk-Hwan Hong
Suk-Hwan Hong
RKRae-Yeol Kang
Rae-Yeol Kang
MAMii-Yeon An
Mii-Yeon An
JKJi-Suk Kim
Ji-Suk Kim
EJEun-Sang Jung
Eun-Sang Jung

31 December 2023 in Korean Journal of Environment and Ecology
Verified
Journal Article
Closed access
SHSuk-Hwan Hong
Suk-Hwan Hong
MAMii-Yeon An
Mii-Yeon An
JHJung-Suk Hwang
Jung-Suk Hwang

30 December 2024 in Korean Journal of Environment and Ecology
Verified
Journal Article
Closed access
PAPusan National Univ. Dept. Of Landscape Architecture
Pusan National Univ. Dept. Of Landscape Architecture
SHSuk-Hwan Hong
Suk-Hwan Hong
MAMii-Yeon An
Mii-Yeon An
JHJung-Suk Hwang
Jung-Suk Hwang

5 December 2025 in Land
Verified
Journal Article
Open access
PDF file
HHHANSEONGIL SEONGIL HAN
HANSEONGIL SEONGIL HAN
YKYoungeun Kang
Youngeun Kang
HJHyeryeon Jo
Hyeryeon Jo
MAMii-Yeon An
Mii-Yeon An
TKTaelyn Kim
Taelyn Kim
SSSeungwoo Son
Seungwoo Son
Accurate prediction of land use and land cover (LULC) change is essential for sustainable development and climate change adaptation planning. This study projects LULC changes across 17 administrative regions of South Korea from 2020 to 2050 using the Future Land Use Simulation (FLUS) model under four integrated SSP-RCP scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The model was calibrated with land cover data for 2000–2010 and validated against observations for 2010–2020 using socioeconomic variables together with CMIP6 climate projections. In practical terms, FLUS produces scenario-based maps of future land patterns that inform land regulation, infrastructure planning, and climate adaptation. Across all scenarios, urban areas expanded by 488,000–585,000 ha, mainly through the conversion of agricultural land, which accounted for 10–24% of transitions in high-growth regions. Agricultural land decreased by 124,000–174,000 ha, and forests declined by 473,000–572,000 ha. Transformation intensity peaked around 2030 and then slowed in later decades. Urban expansion was greatest under SSP5-8.5, followed by SSP3-7.0, SSP1-2.6, and SSP2-4.5. Gyeonggi Province exhibited the most pronounced spatial change, whereas Seoul showed limited additional growth consistent with its already saturated urban structure. Validation results indicated an overall accuracy range of 57–83% with metropolitan areas generally outperforming provincial regions. These findings reveal spatial and temporal hotspots of land cover change and provide region-specific information that can guide urban development, land and ecosystem management, climate adaptation policy, and progress toward carbon neutrality.

31 August 2020 in Korean Journal of Environment and Ecology
Verified
Journal Article
Closed access
PAPusan National Univ. Dept. Of Landscape Architecture
Pusan National Univ. Dept. Of Landscape Architecture
SHSuk-Hwan Hong
Suk-Hwan Hong
MAMii-Yeon An
Mii-Yeon An
RKRae-Yeol Kang
Rae-Yeol Kang
SCSong-Hyun Choi
Song-Hyun Choi

31 October 2016 in Korean Journal of Environment and Ecology
Verified
Journal Article
Closed access
PAPusan National Univ. Dept. Of Landscape Architecture
Pusan National Univ. Dept. Of Landscape Architecture
SHSuk-Hwan Hong
Suk-Hwan Hong
MAMii-Yeon An
Mii-Yeon An