• 대한원격탐사학회지
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• 제33권6_3호
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• pp.1197-1213
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• 2017

본 연구는 KOMPSAT-3 위성영상의 도심지역에 나타나는 그림자 영역을 보정하기 위하여 실시되었다. 이를 위하여, 인공구조물에 의해 나타나는 그림자 영역에 대한 특성을 분석하여 그림자 영역을 본그림자와 반그림자로 구분하였으며, 각각의 영역을 정확하게 탐지하여 오분류의 가능성을 줄이기 위한 방법을 제시하였다. 또한 본그림자 영역으로부터 반그림자 영역과 비그림자 영역을 각각 탐지하였으며, 선형상관보정방법과 과보정 저감계수를 적용하여 탐지된 그림자 영역에 대한 보정을 수행하였다. 그 결과 시각적으로 자연스러운 보정된 영상을 획득할 수 있었으며, 프로파일 분석을 통하여 정량적으로도 그림자 영역이 효과적으로 보정됨을 확인하였다.

• Journal of Microbiology and Biotechnology
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• 제24권6호
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• pp.843-853
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• 2014

In the context of artificial groundwater recharge, a reactive soil column at pilot-scale (4.5 m depth and 3 m in diameter) fed by treated wastewater was designed to evaluate soil filtration ability. Here, as a part of this project, the impact of treated wastewater filtration on soil bacterial communities and the soil's biological ability for wastewater treatment as well as the relevance of the use of multi-bioindicators were studied as a function of depth and time. Biomass; bacterial 16S rRNA gene diversity fingerprints; potential nitrifying, denitrifying, and sulfate-reducing activities; and functional gene (amo, nir, nar, and dsr) detection were analyzed to highlight the real and potential microbial activity and diversity within the soil column. These bioindicators show that topsoil (0 to 20 cm depth) was the more active and the more impacted by treated wastewater filtration. Nitrification was the main activity in the pilot. No sulfate-reducing activity or dsr genes were detected during the first 6 months of wastewater application. Denitrification was also absent, but genes of denitrifying bacteria were detected, suggesting that the denitrifying process may occur rapidly if adequate chemical conditions are favored within the soil column. Results also underline that a dry period (20 days without any wastewater supply) significantly impacted soil bacterial diversity, leading to a decrease of enzyme activities and biomass. Finally, our work shows that treated wastewater filtration leads to a modification of the bacterial genetic and functional structures in topsoil.

• 천문학회보
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• 제43권1호
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• pp.65.2-65.2
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• 2018

Through MIRIS $Pa{\alpha}$ Galactic plane survey, a lot of $Pa{\alpha}$ blobs were detected along the plane. To reveal their characteristics, we are planning to collect NIR high-resolution spectroscopic data for them by using Immersion GRating INfrared Spectrograph (IGRINS). Here, we present the preliminary results of the IGRINS observations for a Herbig Be star, MWC 1080, which is one of the $Pa{\alpha}$ blobs detected in Cepheus. This Herbig Be star is known to possess a lot of young stellar objects (YSOs) and bright MIR ($10-20{\mu}m$) nebulosity in its vicinity. From IPHAS $H{\alpha}$ data, we revealed large extended $H{\alpha}$ features that correlate well with MIR and 13CO morphologies around MWC 1080. A part of the $H{\alpha}$ features shows a bow shock shape to the northeast of the primary star MWC 1080A, which seems to be due to an outflow from MWC 1080A. Through IGRINS observations, we detected faint [Fe II] ${\lambda}1.644{\mu}m$ and H2 1-0 S(1) ${\lambda}2.122{\mu}m$ emission lines around the bow shock feature. Interestingly, to the east region of MWC 1080A, we also detected strong [Fe II] and H2 emission lines with a couple of velocity components, which suggests the detection of a new outflow from another YSO. Broad $Br{\gamma}$ ${\lambda}2.1662{\mu}m$ line and H2 lines with various velocity components were detected around the bright MIR and $H{\alpha}$ nebulosity as well.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.88-88
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• 2022

Detection of stress responses in crops is important to diagnose crop growth and evaluate yield. Also, the multi-spectral sensor is effectively known to evaluate stress caused by nutrient and moisture in crops or biological agents such as weeds or diseases. Therefore, in this experiment, multispectral images were taken by an unmanned aerial vehicle(UAV) under field condition. The experiment was conducted in the long-term fertilizer field in the National Institute of Crop Science, and experiment area was divided into different status of NPK(Control, N-deficiency, P-deficiency, K-deficiency, Non-fertilizer). Total 11 vegetation indices were created with RGB and NIR reflectance values using python. Variations in nutrient content in plants affect the amount of light reflected or absorbed for each wavelength band. Therefore, the objective of this experiment was to evaluate vegetation indices derived from multispectral reflectance data as input into machine learning algorithm for the classification of nutritional deficiency in rice. RandomForest model was used as a representative ensemble model, and parameters were adjusted through hyperparameter tuning such as RandomSearchCV. As a result, training accuracy was 0.95 and test accuracy was 0.80, and IPCA, NDRE, and EVI were included in the top three indices for feature importance. Also, precision, recall, and f1-score, which are indicators for evaluating the performance of the classification model, showed a distribution of 0.7-0.9 for each class.

• 한국지리정보학회지
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• 제22권3호
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• pp.10-20
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• 2019

전 세계적으로 기후변화로 인한 불규칙적인 강우의 영향으로 수계에서는 비점오염에 의한 부영양화, 녹조현상 등이 빈번하게 발생되고 있다. 특히 이러한 수계오염은 원활한 용수공급을 위한 저수지 유속이 느린 하천이 인접해있고, 축사 퇴비 등이 다수 분포해 있어 비점오염의 수계유입이 쉬운 농업지역이 취약하다. 따라서, 본 연구에서는 UAV(Unmanned Aerial Vehicle) 영상과 수계부영양화를 발생시키는 총인 총질소, 녹조발생과 간접적인 연관성이 있는 클로로필-a의 상관분석을 통해 소하천 수질 특성 파악에 UAV의 활용 가능성을 분석하였다. 분석에는 대상지인 양천, 함양위천 소권역에서 수집한 다중분광 영상 및 녹조탐지에 사용되는 식생지수 NDVI(Normalized difference vegetation index), NDRE(Normalized Difference Red edge), CIRE(Chlorophyll Index Red edge)를 활용하였다. 채수지점에 대한 영상값과 수질분석 값의 상관관계를 분석한 결과 총인은 유의수준 0.05 이내에서 CIRE(0.66)와 클로로필-a는 Blue(-0.67), Green(-0.66), NDVI(0.75), NDRE(0.67), CIRE(0.74)와 상관관계를 보였다. 총질소는 유의수준 0.05에서 Red(-0.64), Red edge(-0.64), NIR(-0.72)와 상관관계를 보였다. 본 연구결과를 통해 UAV 기반 다중분광 영상과 수질오염 발생 인자에 대한 유의미한 상관관계를 확인하였고, 녹조탐지에 사용하는 식생지수의 경우 클로로필-a뿐만 아니라 총인의 파악에도 활용할 수 있는 가능성을 확인하였다. 이는 농업지역의 비점오염 관리우심 지역 선정 등 관리대책을 마련하는데 유의미한 자료로 사용될 수 있을 것으로 판단된다.