• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.3
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• pp.1-18
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• 2017

This study constructed a high-resolution bioclimatic classification map of South Korea which classifies land into homogeneous zones by similar environment properties using advanced statistical techniques compared to existing ecological area classification studies. The climate data provided by WorldClim(1960-1990) were used to generate 27 bioclimatic variables affecting biological habitats, and key environmental variables were derived from Correlation Analysis and Principal Component Analysis. Clustering Analysis was performed using the ISODATA method to construct a 30'(~1km) resolution bioclimatic classification map. South Korea was divided into 21 regions and the results of classification were verified by correlation analysis with the Gross Primary Production(GPP), Actual Vegetation map made by the Ministry of Environment. Each zones' were described and named by its environmental characteristics and major vegetation distribution. This study could provide useful spatial frameworks to support ecosystem research, monitoring and policy decisions.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.3
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• pp.1-9
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• 2024

This study aims to estimate the cover classification and carbon respiration of halophytes based on the issues of utilising blue carbon in recent context of climate change. To address the aims, the study classified halophytes(Triglochin maritimum L and Phragmites australis), Intertidal(non-vegetated tidal flats) and Supratidal(sandy tidal flats) to measure carbon respiration and classify cover. The results are revealed that first, the carbon respiration in vegetated areas was less than that in non-vegetated areas. Second, the cover classification could be divided into halophyte communities(Triglochin maritimum L, Phragmites australis), Intertidal and Supratidal by NDWI(Moisture Index, Normalized Difference Water Index) Third, the total carbon respiration of blue carbon was calculated to be -0.0121 Ton km² hr^-1 with halophyte communities at -0.0011 Ton km² hr^-1, Intertidal respiration at -0.0113 Ton km² hr^-1 and Supratidal respiration at 0.0003 Ton km² hr^-1. As this challenge is a fundamental study that calculates the quantitative net carbon storage based on the blue carbon-based marine ecosystem, contributing to firstly, measuring the carbon respiration of cordgrass communities, reed communities, and non-vegetated tidal flats, which are potential blue carbon candidates in the study area, to establish representative values for carbon respiration, secondly, verifying the reliability of cover classification of native halophytes extracted through image classification technology, and thirdly, challenging to create a thematic map of carbon respiration, calculating the area and carbon respiration for each classification category.

• Journal of Environmental Impact Assessment
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• v.4 no.1
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• pp.59-64
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• 1995

Environmental Impact Assesment(EIA) is composed of various procedures, such as screening, scoping, inventory survey, prediction, assessment, mitigation measure, alternative assessment, and post management. Remote sensing introduced lately begins to be applied ecosystem and land use in inventory survey and assessment of EIA. This study explains on land use classification, buffering analysis of residential area, and overlaying analysis of odor predictive data with residential area for application to EIA with remote sensing data. Residential area extracted from land use classification of remote sensing provides effectively buffering analysis of residential area in selection of landfill site with GIS. It could assess also residential effect to an offensive odor by overlaying analysis. Application methods in EIA should be enlarged to assess effectively.

• Proceedings of the Korean Quaternary Association Conference
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• 2002.12a
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• pp.94-95
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• 2002

South Korea is divided into five ecoprovinces and sixteen ecoregions. The criteria for ecoprovince classification are ecosystem connectivity and cultural homogeneity. Ecoregions are classified by cluster analysis. The variables used in the analysis are latitude, longitude, seasonal mean temperature, and seasonal precipitation. The large forest fires occurred in the specific ecoregions including Kangwon coastal ecoregion, WoolYoung coastal ecoregion, Hyungsan Taehwa coastal ecoregion, Upper Nagdong river basin ecoregion and Southeastern inland ecoregion. The largest forest fire in the korean history occurred in Kangwon coastal ecoregion in the year 2000. The fire devastated the forestland over 25,000ha. Korea Forest Service, Ministry of Environment, Province Kangwon and NGO organized an investigation committee for the restoration of the burnt area. The committee suggested restoration principles and also forged a restoration strategy of the Kangwon burnt area.

• Journal of the Semiconductor & Display Technology
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• v.21 no.3
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• pp.92-97
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• 2022

Plastics are classified into 7 types such as PET (PETE), HDPE, PVC, LDPE, PP, PS, and Other for separation and recycling. Recently, large corporations advocating ESG management are replacing them with bioplastics. Incineration and landfill of disposal of plastic waste are responsible for air pollution and destruction of the ecosystem. Because it is not easy to accurately classify plastic materials with the naked eye, automated system-based screening studies using various sensor technologies and AI-based software technologies have been conducted. In this paper, NIR scanning devices considering the NIR wavelength characteristics that appear differently for each plastic material and a system that can identify the type of plastic by learning the NIR spectrum data collected through it. The accuracy of plastic material identification was evaluated through a decision tree-based SVM model for multiclass classification on NIR spectral datasets for 8 types of plastic samples including biodegradable plastic.

• Korean Journal of Ecology and Environment
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• v.57 no.2
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• pp.83-91
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• 2024

This study utilizes association rule learning and clustering analysis to explore the co-occurrence and relationships within ecosystems, focusing on the endangered brackish-water snail Clithon retropictum, classified as Class II endangered wildlife in Korea. The goal is to analyze co-occurrence patterns between brackish-water snails and other species to better understand their roles within the ecosystem. By examining co-occurrence patterns and relationships among species in large datasets, association rule learning aids in identifying significant relationships. Meanwhile, K-means and hierarchical clustering analyses are employed to assess ecological similarities and differences among species, facilitating their classification based on ecological characteristics. The findings reveal a significant level of relationship and co-occurrence between brackish-water snails and other species. This research underscores the importance of understanding these relationships for the conservation of endangered species like C. retropictum and for developing effective ecosystem management strategies. By emphasizing the role of a data-driven approach, this study contributes to advancing our knowledge on biodiversity conservation and ecosystem health, proposing new directions for future research in ecosystem management and conservation strategies.

• Journal of The Geomorphological Association of Korea
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• v.24 no.4
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• pp.57-73
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• 2017

The formation of the lava dam of the paleo lake blocked the entrance to the Chatancheon River on the Jeongok lava plateau and it suddenly transformed the terrestrial ecosystem into the aquatic one by the overflow. The spiders in the lava dam adapted in the wetland and evolved into water spiders that could survive by forming bubble houses. Since then, the lava dam was connected to the present Hantangang River due to the dissection and the lake became a terrestrial environment, a small area of marsh composed of primarily clay soil layer. Change in water level of the habitat and thus the extension of the terrestrial area made the species a endangered now. This study carried out frequency of occurrence, degree of wetness and plant habitats of the vascular plant in the water spider habitat. As a result of this study, total 180taxa are of 55 (30.6%) wetland plant groups and of 113 (62.8%) upland plant groups except facultative plant groups. Among the wetland plant groups, the Isachne globosa community occupied the largest area, where the water spiders were most observed. The result of this study, the classification and the types of vascular plant species, would provide useful information for the sustaining healthy wetland ecosystem and the restoration of the habitat for the water spiders.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1599-1610
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• 2021

The natural environment and local ecosystem change depending on various factors, but among them, the change in water temperature is one of the major factors affecting the surrounding environment in the river ecosystem. However, research on water temperature change have not been actively conducted to date compared to the effect of water temperature on the river environment. Therefore, this study intends to study the change in water temperature from 2015 to 2021 through the change in the area of winter ice in the Hongcheon River. Optical satellite images were classified by referring to the field survey results, and the SAR satellite imagestried to overcome the limitations of the input data by using the GLCM texture analysis method. After verifying the accuracy of all images used, the calculated monthly average ice area was compared with the temperature data of the adjacent AWS. It was found that there is a correlation between water temperature and ice area, and the results of this study can be used to study environmental changes in small-scale rivers that are difficult to access or do not have systems in place.

• Korean Journal of Environment and Ecology
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• v.22 no.6
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• pp.666-678
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• 2008

The needs for drawing up of biotope map is rapidly spreaded over each local government recently in Korea, according as enhancing of interest about biotope, which is recognized to practical instrument for concretely being able to considering natural environment and ecosystem on all sorts of development plan. However, there are not yet the standard suggestion on biotope types and classification systems and biotope classification criteria. Therefore, each other methodologies are applied to each of local autonomies. First, under such critical mind the biotope types and classification systems were drafted by a review on biotope types, biotope classification systems, and biotope classification criteria of the preceded case studies until now at the inside and outside of the country. And then the purpose of this study is to derive biotope types and biotope classification systems applicable to the whole Korean region through continual feed back such as field surveys in selected representative areas and consultations. As a result of reviewing the case examples, first, the biotope classification systems were mixed two steps system with three steps system and those were composed mostly of the structure of two steps: large and small. Second, land-use, soil pavement ratio, green cover ratio, and vegetation usually were applied to the biotope classification criteria. This study suggests that the biotope classification system is consisted of four steps system: large(biotope class), medium(biotope group), small(biotope type) and detail(sub-biotope type), and the biotope types are classified into 13 types of large step, 45 types of medium step and 127 types of small step. However, this study suggests that the new biotope types on small step or detail step should be continually supplemented with the foundation of classification system proposed in this study because the biotope type classification should consider regional characteristics.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.171-178
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• 2022

In this paper, we propose a classification method according to the type and characteristics of stablecoins for risk analysis, and analyze the risk factors of each stablecoin based on this classification. First, this paper explains the technologies and ecosystem of blockchain and decentralized finance(DeFi) to understand stablecoins. In addition, the operation principle of the major stablecoins currently released and used is explained for each proposed classification type. Based on this, the risk type and risk factors of each stablecoin are derived. The risk types proposed in this paper are classified as defegging, liquidation, and exploit, and the risk factors are classified as depegging due to reliability of operator, depegging due to reliability of algorithm, depegging due to failure of algorithm, liquidation due to high volatilty and oracle attack. Based on the proposed classification, we analyze the risk factors of major stablecoins currently circulating in the crypto market.