생태계 복원 사업 효과 모니터링을 위한 기반 데이터 구축 (Dataset Construction for Monitoring the Effects of Ecosystem Restoration Projects)

서지정보

· 발행기관 : (사)지오에이아이데이터학회
· 수록지 정보 : GEO DATA / 6권 / 4호 / 197 ~ 207페이지
· 저자명 : 조소연, 안나연, 차재규

초록

Climate change have increased the necessity for developing climate adaptationstrategies. Ecological restoration projects have been implemented to restorethe structure and function of degraded natural environments, thus enablingadaptation to the climate crisis. However, due to the lack of subsequent monitoringand evaluation, the effectiveness and success of these restoration efforts remainunverified. Verification of restoration effectiveness is essential for establishingecological restoration and adaptation policies. Therefore, this study catalogs 338cases of ecosystem restoration projects (including Ecosystem Conservation FundReturn Projects, Jayeon Madang Restoration Projects, and Urban Ecological CorridorRestoration Projects) conducted between 2010 and 2023 to effectively selectmonitoring sites. Using satellite-based spatial data, we quantified the normalizeddifference vegetation index (NDVI), normalized difference built-up index (NDBI),normalized difference moisture index (NDMI) and land surface temperature(LST). This study shows that higher NDVI values significantly lower LST and NDMI,indicating that the more vegetation restored in ecosystems, the more effectively itreduces surface temperatures. The NDVI across all land cover types averaged above0.2, corresponding to a high vegetation cover density. Specifically, forests exhibitedsignificantly higher NDVI and NDMI, whereas bare land and used area showedsignificantly higher NDBI and LST. Over the time series, NDVI and NDMI increased,and NDBI decreased, suggesting the positive effects of restoration. The ranges ofNDVI, NDBI, NDMI and LST values by land cover type for the 338 restoration projectsites provided in this study can be utilized for selecting specific monitoring sites andverifying effectiveness.

영어초록

Climate change have increased the necessity for developing climate adaptationstrategies. Ecological restoration projects have been implemented to restorethe structure and function of degraded natural environments, thus enablingadaptation to the climate crisis. However, due to the lack of subsequent monitoringand evaluation, the effectiveness and success of these restoration efforts remainunverified. Verification of restoration effectiveness is essential for establishingecological restoration and adaptation policies. Therefore, this study catalogs 338cases of ecosystem restoration projects (including Ecosystem Conservation FundReturn Projects, Jayeon Madang Restoration Projects, and Urban Ecological CorridorRestoration Projects) conducted between 2010 and 2023 to effectively selectmonitoring sites. Using satellite-based spatial data, we quantified the normalizeddifference vegetation index (NDVI), normalized difference built-up index (NDBI),normalized difference moisture index (NDMI) and land surface temperature(LST). This study shows that higher NDVI values significantly lower LST and NDMI,indicating that the more vegetation restored in ecosystems, the more effectively itreduces surface temperatures. The NDVI across all land cover types averaged above0.2, corresponding to a high vegetation cover density. Specifically, forests exhibitedsignificantly higher NDVI and NDMI, whereas bare land and used area showedsignificantly higher NDBI and LST. Over the time series, NDVI and NDMI increased,and NDBI decreased, suggesting the positive effects of restoration. The ranges ofNDVI, NDBI, NDMI and LST values by land cover type for the 338 restoration projectsites provided in this study can be utilized for selecting specific monitoring sites andverifying effectiveness.

참고자료

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