• Ecology and Resilient Infrastructure
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• v.7 no.2
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• pp.90-96
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• 2020

Recently, a method that applies laser scanning (LS) that acquires vegetation information such as the vegetation habitat area and the size of vegetation in a point cloud format has been proposed. When LS is used to investigate the physical shape of vegetation, it has the advantage of more accurate and rapid information acquisition. However, to examine uncertainties that may arise during measurement or post-processing, the process of adjusting the data by the actual data is necessary. Therefore, in this study, the physical structure of stems, branches, and leaves of woody vegetation in an artificially formed river channel was manually investigated. The obtained results then compared with the information acquired using the three-dimensional terrestrial laser scanning (3D TLS) method, which repeatedly scanned the target vegetation in various directions to obtain relevant information with improved precision. The analysis demonstrated a negligible difference between the measurements for the diameters of vegetation and the length of stems; however, in the case of branch length measurement, a relatively more significant difference was observed. It is because the implementation of point cloud information limits the precise differentiation between branches and leaves in the canopy area.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.471-471
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• 2018

국가 수자원 관리에 가장 기초가 되는 수문조사는 측정과 자료 분석을 위해 행해지는 모든 과정에서 자료의 정확성과 신뢰성이 담보되어야 한다. 현재 수문조사는 국토교통부를 비롯하여 환경부, 수자원공사 등 다양한 부처와 기관에서 수행하고 있으며, 수문조사 방법 및 기준표준화 연구(2009), 수문조사 관련 법정 행정규칙 마련, 수자원 조사법 제정, 수문자료 공인 및 저장, 배포, 활용, 기준고시 등을 통해 수문조사 발전 및 표준화를 위한 노력을 해오고 있다. 하지만 국가차원의 표준화(기준과 매뉴얼)가 아직 미진하여 기관별 생산 자료의 품질차이가 발생하고 있다. 국내의 현장여건은 식생, 공사, 모래하상 등으로 과거와 다르게 점차 다양화 되고 있으며, 국외와 차별화 된 국내 하천만의 특성으로 반영되고 있다. 또한 최근 ADCP와 같은 첨단장비 활용이 증대되는 추세인데 비해 첨단장비 관련 기준은 아직 미비한 부분이 많다. 국내 측정환경이 고려된 수문조사 표준화를 위해서는 USGS와 같은 선진국의 국제기준 검토와 함께 각 하천 환경에 맞는 유량측정 방법 및 기술을 개발하고, 다양한 현장 특성이 반영된 측정방법의 적용과, 자료 분석을 통한 기준제시가 필요하다. 첨단 장비 및 관련 기술을 활용한 수문조사 선진화를 위해서는 정확한 첨단장비 활용에 대한 표준이 필요하다. 즉 수문조사 전반에 대한 표준화와 이를 통한 공유와 활용이 이루어져야 한다. 한국수자원조사기술원(구 유량조사사업단)에서는 2007년부터 수문조사를 수행하면서 국내 하천유량조사 경험과 기술 노하우를 바탕으로 수문조사 분야별 측정방법, 장비, 레이팅, 자료 분석 등에 대한 수문조사매뉴얼과 가이드라인을 발간하여 실무에 적용, 활용하고 있다. 이러한 노력은 국내 수문조사 표준화를 정착, 발전시키고 국제 표준화에 기여할 수 있는 계기가 될 것으로 생각된다.

• Korean Journal of Environment and Ecology
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• v.32 no.4
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• pp.392-412
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• 2018

This study was conducted from 2012, which was a year before forest road construction in Minjujisan, to 2015 to verify effects on flora and vegetation change annually before and after the construction, and to provide strategies to examine and manage flora changes. The plant communities in the investigated area around the forest road is separated by the slopes into Quercus mongolica community is on the northwestern slope and Quercus variabilis and Larix kaempferi communities is on the southwestern slope. The annual investigation of flora change before and after the construction showed that there were 209 taxa that had 71 families, 153 genera, 178 species, 27 varieties, and 4 forma in 2015 while there were 66 taxa that had 44 families, 59 genera, 51 species, 13 varieties, and 2 forma in 2012 before the construction, indicating an increase of 143 texa before and after the construction. The investigation of the slope area adjacent to the forest road constructed in 2013, in particular, showed increasing coverage and taxa each year after the construction. This was caused by significantly increased light transmittance after the construction. The investigation in 2015 showed increased coverage of herbaceous layer the year after development of the forest road and the remarkable increase of the coverage of shrub layer in 2015. Further, the coverage on the slope adjacent to the forest road increased more in 2015 than in 2013 and 2014. Therefore, we expect supplementary studies will help to generate a detail manual on flora and vegetation change before and after forest road construction.

• Journal of Environmental Impact Assessment
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• v.29 no.5
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• pp.377-390
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• 2020

URBAN ECOLOGICAL MAPS must be created by local governments by NATURAL ENVIRONMENT CONSERVATION ACT, and the maps are generally called biotope map. So far, biotope maps study was a tendency to focus on the type of vegetation, naturalness, land use, landscape ecology theories. However, biotope related studies have not reflected the concept of animal habitat, which is a component of biotope, and that is the limitation of biotope map research. This study suggest a methodology to predict potential habitats for fauna using machine learning to quantify habitat values. The potential habitats of fauna were predicted by spatial statistics using machine learning, and the results were converted into species richness. For biotope type assessments, we classified biotope values into vegetation value and habitat value and evaluated them using a matrix for value summation. The vegetation value was divided into 5 stages based on vegetation nature and land use, and the habitat value was classified into five stages by predicting the species richness predicted by machine learning. This is meaningful because our research can positively reflect the results of field surveys of fauna that were negatively reflected in the evaluation of biotope types in the past. Therefore, in the future, if the biotope map manual is revised, our methodology should be applied.