• Proceedings of the Petrological Society of Korea Conference
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• 2001.06a
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• pp.95-95
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• 2001

• 한국석유지질학회:학술대회논문집
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• autumn
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• pp.38-38
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• 2000

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1737-1741
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• 2022

Active fire monitoring using high-resolution drone images and deep learning technologies is now an initial stage and requires various approaches for research and development. This letter examined the detection of active fire objects using You Look Only Once Version 7 (YOLOv7), a state-of-the-art (SOTA) model that has rarely been used in fire detection with drone images. Our experiments showed a better performance than the previous works in terms of multiple quantitative measures. The proposed method can be applied to continuous monitoring of wide areas, with an integration of additional development of new technologies.

• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.78-89
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• 2018

The purpose of this study is to explore ways to improve developing exam questions for Earth science education by analyzing exam trend of Earth science education in the secondary-school teacher employment test (TET, hereafter). For this purpose, we developed an analysis framework to analyze items of Earth science education in the secondary-school TET, and this analysis framework covers required courses for 'theory of Earth science education' of 'Earth science teaching certificate courses'. The analysis framework consists of big categories, assessment domains, and assessment components. We divided system changes in secondary-school TET into 4 types, and analyzed exams of 2014-2018 school year, which is the existing exam system. According to the results, 22-24 points out of 80 have been allotted to Earth science education. Among assessment domains, Earth science Teaching & Learning domain has taken the highest percentage of scores and item numbers, followed by Earth science inquiry, history & philosophy of science, etc. For each domain, we analyzed exam tendencies in detail. Based the results, we suggested ways to improve developing exam questions for Earth science education in the secondary-school TET, and ways to improve curriculum for Earth science education in the teacher education program.

• Journal of Information Management
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• v.39 no.2
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• pp.211-234
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• 2008

Recently, the frequency and scale of natural disasters such as typhoons, flood, earthquakes, and tidal waves from earthquakes has been increasing. Several nations have recognized that earth observation is essential for protecting the Earth's environment. However, as the data format from earth observation varies depending on areas, institutes, and countries, sharing and exchange between data is difficult. Thus, we have a metadata standardization scheme suitable for the domestic situation to allow exchange of data between societal benefit areas with reference to principles of data sharing and exchange that are discussed on GEO (Group on Earth Observation). We have also designed metadata schemes required to identify the metadata situation of earth observation data being used for 9 societal benefit areas of GEOSS(Global Earth Observation System of Systems).

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.951-962
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• 2009

Examining research papers and other texts on the subject, this study summarizes previous studies, with focus on circulation as a subtopic of Earth Systems Education. In relation to the Earth Systems unit included in the revised 10th-grade science textbook, this study explains the meaning of Earth Systems and the basic concepts of Earth System Science. It surveys the origin and application of Earth Systems Education, which developed primarily in the U. S., and introduces its objectives, concepts, and communicated content. It also reviews the contents of Earth Systems Education adopted in the Korean school curriculum, and provides a comparative analysis of the content on circulation appearing in Earth Science I textbooks. Finally, it is proposed that an understanding among educators of Earth Systems and of its necessity as a subject of education is imperative for Earth Systems Education to become firmly established as a compulsory component of the national school curriculum.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.863-872
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• 2022

Rare earth elements (REEs) have been used as one of power tracers for understanding geological and environmental changes due to their similar physico-chemical properties. In this study, we investigated the characteristics of rare earth elements in atmospheric particulates(PM_2.5) collected in Beijing and Gwangju during January 2018. The total concentrations of REEs in the Beijing samples were about 16X higher than those in Gwangju samples, and both samples are enriched in light REE than heavy REE, up to 8-10 times. The Post Archean Australian Shale (PAAS)-normalized pattern showed that both samples are enriched in Eu, Tb, and Er, and displayed positive Eu but negative Ce anomalies. The elemental correlations indicate that both samples originated from China desert and Loess plateau as well as cities surrounding Beijing. This study suggests that REEs in PM_2.5 can be used as a powerful proxy of revealing the difference between China and Korea, and provide basic information on the source and transport of PM_2.5.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.875-883
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• 2023

In this letter, we used PlanetScope imagery to conduct experiments on the color characteristics for oil type classification of marine oil spills through Red-Green-Blue (RGB) histogram analysis. The histograms of marine oil spills can be divided into three categories (dark black tones, light silver tones, and light rainbow tones) according to the distribution of pixel values in each band. Thick oil layers with dark black tones can be classified as heavy oil, while thin oil layers with light silver and rainbow tones can be classified as light oil. As more images are analyzed in the future, these oil spill detection and classification methods will become more generalized and reliable.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.1061-1067
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• 2023

In this letter, we simulated an atmospheric correction for Sentinel-2 images, of which spectral bands are similar to Compact Advanced Satellite 500-4 (CAS500-4). Using the second simulation of the satellite signal in the solar spectrum - vector (6SV)2.1 radiation transfer model and random forest (RF), a type of machine learning, we developed an RF-based atmospheric correction model to simulate 6SV2.1. As a result, the similarity between the reflectance calculated by 6SV2.1 and the reflectance predicted by the RF model was very high.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2014.10a
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• pp.154-157
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• 2014