• Korean Journal of Remote Sensing
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• v.32 no.3
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• pp.221-234
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• 2016

In Korea, most industrial parks and major cities are located in coastal areas, which results in serious environmental problems in both coastal land and ocean. In order to effectively manage such problems especially in coastal ocean, water quality should be monitored. As there are many factors that influence water quality, the Korean Government proposed an integrated Water Quality Index (WQI) based on in situmeasurements of ocean parameters(bottom dissolved oxygen, chlorophyll-a concentration, secchi disk depth, dissolved inorganic nitrogen, and dissolved inorganic phosphorus) by ocean division identified based on their ecological characteristics. Field-measured WQI, however, does not provide spatial continuity over vast areas. Satellite remote sensing can be an alternative for identifying WQI for surface water. In this study, two schemes were examined to estimate coastal WQI around Korea peninsula using in situ measurements data and Geostationary Ocean Color Imager (GOCI) satellite imagery from 2011 to 2013 based on machine learning approaches. Scheme 1 calculates WQI using estimated water quality-related factors using GOCI reflectance data, and scheme 2 estimates WQI using GOCI band reflectance data and basic products(chlorophyll-a, suspended sediment, colored dissolved organic matter). Three machine learning approaches including Random Forest (RF), Support Vector Regression (SVR), and a modified regression tree(Cubist) were used. Results show that estimation of secchi disk depth produced the highest accuracy among the ocean parameters, and RF performed best regardless of water quality-related factors. However, the accuracy of WQI from scheme 1 was lower than that from scheme 2 due to the estimation errors inherent from water quality-related factors and the uncertainty of bottom dissolved oxygen. In overall, scheme 2 appears more appropriate for estimating WQI for surface water in coastal areas and chlorophyll-a concentration was identified the most contributing factor to the estimation of WQI.

• Korean Journal of Environmental Biology
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• v.25 no.1
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• pp.56-65
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• 2007

The aim of this study is to provide a fundamental data which can be applied to management conservation, and restoration of coastal sand dune vegetation by determining the classification and distribution of community, and ecological characteristics of the habitat. This research was performed by the Braun-Blanquet's method. The coastal sand dune vegetation of Uido (I.) was composed with 9 communities as follows : Vitex rotundifolia community, Zoysia macrostachya community, Carex kobomugi community, Iachaemum anthephoroides community, Imperata cylindrica var. koenigii community, Carex pumila community, Calystegia soldanella community Messerschmidia sibirica community and Pinus thunbergii community, the evergreen needle-leaved forest. The constancy degree showed high in Calystegia soldanella (77%), Vitex rotundifolia (74%), Carex kobomugi (66%), Zoysia macrostachya (50%) and Imperata cylindrica var. koenigii (47%). However the highest constancy degree Calystegia soldanella has, it turned out to have low net contribution degree (NCD) in each community. In terms of the distribution and growth feature of the composition species in the coastal sand dune, Vitex rotundifolia, Carex kobomuri and Zoysia macrostachya were widely distributed from unstable sand dune to stable one but Iachaemum anthephoroides and Imperata cylindrica var. koenigii were mainly found at the stable sand dune. Carex kobomugi was especially dominant at the unstable sand dune where the sand continued to be deposited. On the other hand, Carer pumila and Messerschmidia sibirica showed regional distributions around fresh water.

• Korean Journal of Environment and Ecology
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• v.38 no.1
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• pp.1-21
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• 2024

This study conducted surveys to identify the distribution of communities and flora according to vegetation in the coastal sand dunes of Sagye in Jeju Special Self-Governing Province, located at the southernmost tip of Korea. The survey was conducted over 20 sessions from April 2020 to October 2021. As a result of the study, physiognomy was classified into six correlated vegetation types: plant communities on the salt marsh, annual communities on a coastal drift-line, herb communities on a dune, shrub communities on a coastal dune, forest-edge communities on a dune, and artificial afforestation vegetation. The survey identified 43 communities, and a total of 212 taxa were found to be distributed among 62 families, 166 genera, 191 species, 15 varieties, 3 subspecies, and 3 forma. It was found that there were five rare plant taxa distributed in the area, including the Cymbidium macrorrhizum which was classified as an endangered Class II plant by the Ministry of Environment. Floristic target species identified by the surveys included 2 taxa for grade V, 5 taxa for grade IV, 15 taxa for grade III, 14 taxa for grade II, and 19 taxa for grade I. Climate-sensitive biological indicator species included 11 indicator and 2 candidate species, representing a high ratio of 33.3% of all indicator species and 15.4% of candidate species. Naturalized plants included 16 families, 43 genera, and 52 taxa, with a naturalization rate of 21.1% and an urbanization index of 24.5%. It is expected that these results will be widely used as data needed to prepare conservation and management measures for biodiversity in response to climate change in coastal dunes in the future.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.4
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• pp.85-93
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• 2014

Although the Chungmak village, Gyeokpo-ri, Buan-gun is a small seashore village, it's an important place that has the largest ancient maritime ritual sites in Korea. This 'Chungmak-dong Ritual Site'(5~6 century, Baekje of the Three-kingdom period) was located in the Dangsan forest of Black Pine (Pinus thunbergii) Colony, and that has a significant meaning concerned with Dangsan forest's origin. Chungmak village located in the Scenic Site # 13 named 'Chaeseokgang and Jeokbyeokgang coastal cliff in Buan', and have retained the Jeollabuk-do Tangible Cultural Property # 58 named 'Suseongdang', the Natural Monument # 123 named 'Machilus community in Gyeokpo-ri, Buan'. The 'Suseongdang Gaeyang Grandmother Dangsinje (Village Ritual)' which is Dangsan ritual has been held every year by village residents. The practical management of Suseongdang and Machilus community has been conducted by village residents. In this study, the landscape characteristics of the Dangsan forest were investigated including neighborhood elements such as Bibo forest, seashores, and farm fields. The conservation of cultural landscape was thought to be achieved by designating 'Protected Area of Sacred Natural Sites'. The Dangsan forest ought to be recognized for their valuable landscape characteristics. It should be managed as a protected area and a sacred natural sites in order to be registered as a World Cultural Heritage.

• Journal of Wetlands Research
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• v.12 no.3
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• pp.129-144
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• 2010

We have studied the changes of the environmental and vegetational factors according to the hydro-seral stages in the shoreline of the lagoons, Korea. We have divided seral stages into 7 stages from open water stage to the stratified forest stage considering as the characteristics of water body, dominance of submerged and emergent plant, and development of the shrub, subtree and tree layer. According to the successional stage, water depth gradually decreased and water quality changed from seawater to brackish water and from brackish water to fresh water, organic matter in a soil layer gradually increased, and the litter layer grew up. As the development of the vegetation structure, the life-form of the vascular plants changed as follows; open water ${\rightarrow}$ submerged plant and floating-leaved plant ${\rightarrow}$ emergent plant and submerged plant ${\rightarrow}$ emergent plant ${\rightarrow}$ emergent plant, mesophyte and scrub ${\rightarrow}$ mesophyte. In the late seral stage, the 3 different forest types were established by the water retention or drainage and nutrient accumulation of the soil layer. Salix dominant forest developed in the wetted sites, the forest type dominated by Pinus thunbergii, Carex pumila and mesophytes developed in the well drained sites causing by sand substrate, and the forest type dominated by the planted or ruderals such as Pinus densiflora, Robinia psedo-acacia, Festuca ovina, Setaria viridis ect. developed in the sites composed of forest soil introduced by artificial reclamation.

• Journal of Life Science
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• v.16 no.6
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• pp.1044-1051
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• 2006

The barren ground is an abnormal phenomenon of coastal ecosystem in which seaweeds, are destroyed and mostly replaced by the coralline algae containing the calcium carbonate components. To restore the seaweed forest, We have exerted an effort in the local areas, Samchuck, Korea, where barren phenomena are profound. Two methods of seaweed forest construction developed in the present study are underwater longline and seed transplantation for the brown seaweed Costaria costata, a fast growing edible seaweed. The sizes of C. costata attached on the underwater longline were $96.7{\pm}2.2mm$ of blade length and $83.6{\pm}7.7g$ of blade weight in April. Thereafter the sizes declined from May. Similar pattern was obtained from in the transplantation method with maxima of $90.4{\pm}15.8mm$ and $70.1{\pm}31.7g$ for blade length and weight, respectively in April. It appeared totality maturation from two methods in May. This maturation time is the same like that of wild C. costata.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.2
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• pp.28-36
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• 2012

Forests are one of the basic assets nearest our daily lives that provide the foundation of life necessities, culture and even survival. These assets pervade local residents' lives as culture and the necessities of life, and they will be handed down to posterity. Therefore, this study was conducted to carry out a field survey on old trees, plant communities and forests in the southern coastal areas in Korea, where not many surveys were not conducted on the forest cultural assets, further examining a possibility that some of the trees should be designated as law-protected. As for the survey of plants, this study investigated 80 different spots of old trees, plant communities and forests, located in 11 cities and counties in Gyengnam Province and Jeonnam Province adjacent to the southern coast of Korea. To measure the health and actual maintenance conditions of old trees and plant communities objectively, the standard of judgment was established through the brain storming of experts. As a result of the field survey, out of all the old trees and plant communities that are not law-protected, this study selected old trees and plant communities that are in good health and likely to pass the standard of designating law-protected trees according to the Established Rule 574 of the Korea Forest Service Regulation. As for the plant community and old trees likely to be law-protected, this study judged that the torreya forest in Naneum Li, Namhae and old trees in 13 spots, in cluding so-called 'Couple Pine Tree' in Pyeongsa Li, Hadong, have a high possibility of being designated as a law-protected plant community and old trees. As for the species of old trees, there were 3 zelkova serrata trees, 3 celtis sinensis persoon trees, 2 pinus densiflora trees, 1 castanopsis cuspidata tree, 1 salix chaenomeloides tree and 1 machilus thunbergii tree found in the survey areas. Overall, this study judged that those old trees and plant communities require a national systematic maintenance by being designated as law-protected ones, and their values should be handed down to posterity as our forest cultural assets.

• Korean Journal of Remote Sensing
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• v.12 no.2
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• pp.169-198
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• 1996

The objectives of this investigation are : 1. To analyze spectral signature and the associated vegetation index for geometric illumination conditions inf1uenced by low solar elevation and high slope orientations in mountainous forest. 2. To assess the accuracy of the spectral angle mapper classification for the a winter land cover in comparison with the maximum likelihood classification. 3. To produce the image of water quality and water properties that could be used to estimate the water pollution sources and the tide-included by turbid water in estuarine and coastal areas. These objectives are to characterize environmental and ecological monitoring applications of the Nak-Dong River Basin by using Fuyo-1 OPS VNIR data acquired on December 26, 1992. The results of this paper are as follows : 1. The spectral digital numbers and vegetation indexes (NDVI and TVI) of mountainous forest are higher on the slope facing the sun than on the slope hidden the sun under low sun elevation condition. 2. The spectral angle mapper algorithm produces a more accurate land cover classification of areas with steep slope, various aspects and low solar elevation than the maximum likelihood classifier. 3. The maximum likelihood classification images can be used for identifying the location and movement of both freshwater and salt water, regardless of geometric illumination conditions. 4. The color-coded density sliced image of selected water bodies by using the near-infrared band 3 can provide distribution of the water quality of the Lower Nak-Dong River. 5. The color-coded normalized difference vegetation index image of the selected mountain forest is suitable to classify winter vegetation cover types, i.e., forest canopy densities for slope orientations.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.1
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• pp.24-35
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• 2023

Rapid industrialization and urbanization have led to severe marine pollution. A Water Quality Index (WQI) has been developed to allow the effective management of marine pollution. However, the WQI suffers from problems with loss of information due to the complex calculations involved, changes in standards, calculation errors by practitioners, and statistical errors. Consequently, research on the use of artificial intelligence techniques to predict the marine and coastal WQI is being conducted both locally and internationally. In this study, six techniques (RF, XGBoost, KNN, Ext, SVM, and LR) were studied using marine environmental measurement data (2000-2020) to determine the most appropriate artificial intelligence technique to estimate the WOI of five ecoregions in the Korean seas. Our results show that the random forest method offers the best performance as compared to the other methods studied. The residual analysis of the WQI predicted score and actual score using the random forest method shows that the temporal and spatial prediction performance was exceptional for all ecoregions. In conclusion, the RF model of WQI prediction developed in this study is considered to be applicable to Korean seas with high accuracy.

• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.80-88
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• 2020

This paper describes the development trends and service provision examples of disaster occurrence and spread prediction technology for various disasters such as tsunamis, floods, and fires. In terms of fires, we introduce the WIFIRE system, which predicts the spread of large forest fires in the United States, and the Metro21: Smart Cities Institute project, which predicts the risk of building fires. This paper describes the development trends in tsunami prediction technology in the United States and Japan using artificial intelligence (AI) to predict the occurrence and size of tsunamis that cause great damage to coastal cities in Japan, Indonesia, and the United States. In addition, it introduces the NOAA big data platform built for natural disaster prediction, considering that the use of big data is very important for AI-based disaster prediction. In addition, Google's flood forecasting system, domestic and overseas earthquake early warning system development, and service delivery cases will be introduced.