• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.168-182
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• 2019

The objectives of this study were to examine the production processes and methods of "Forest Type Map Actualization Production (Database (DB) Construction Work Manual)" (Work Manual) identify issues associated with the production processes and methods, and suggest solutions for them by applying evaluation items to a 1:5k digital forest type map. The evaluation items applied to a forest type map were divided into zoning and attributes, and the issues associated with the production processes and methods of Work Manual were derived through analyzing the characteristics of the stand structure and fragmentation by administrative districts. Korea is divided into five divisions, where one is set as the area changed naturally and the other four areas set as the area changed artificially. The area changed naturally has been updated every five years, and those changed artificially have been updated annually. The fragmentation of South Korea was analyzed in order to examine the consistency of the DB established for each region. The results showed that, in South Korea, the number of patches increased and the mean patch size decreased. As a result, the degree of fragmentation and the complexity of shapes increased. The degree of fragmentation and the complexity of shapes decreased in four regions out of 17 regions (metropolitan cities and provinces). The results indicated that there were spatial variations. The "Forest Classification" defines the minimum area of a zoning as 0.1ha. This study examined the criteria for the minimum area of a zoning by estimating the divided object (polygon unit) in a forest type map. The results of this study revealed that approximately 26% of objects were smaller than the minimum area of a zoning. The results implied that it would be necessary to establish the definition and the regeneration interval of "Areas Changed Artificially and Areas Changed Naturally", and improve the standard for the minimum area of a zoning. Among the attributes of Work Manual, "Species Change" item classifies terrain features into 52 types, and 43 types of them belong to stocking land. This study examined distribution ratios by extracting species information from the forest type map. It was found that each of 23 species, approximately 53% of species, occupied less than 0.1% of Forested land. The top three species were pine and other species. Although undergrowth on unstocked forest land are classified in the terrain feature system, their definition and classification criteria are not established in the "Forest Classification" item. Therefore, it will be needed to reestablish the terrain feature system and set the definitions of undergrowth.

• Korean Journal of Environment and Ecology
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• v.27 no.1
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• pp.113-126
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• 2013

This study was performed to introduce ecological education program as for reporting the current vegetation state within the remaining trees as ecological golf course and to provide basic data. The survey site was S Golf course, which is located in Woonseodong, Incheon city. Its total area was about $3,298,428m^2$, but the relict forest was about $225,143m^2$. Existing landuse, topological structure, the flora, actual vegetation, and plants community structure survey were performed within the relict forest. As result of comparing and analyzing the existing land use, the relict forest was distributed in the forested areas (89.2%) and around the area (10.8%) which had been bare land and SAMMOK earthen ramparts. There were two courses (Ocean and Hanul) with the relict forests. The ocean course was compared of a natural forest, such as Quercus spp. mixed forest, Quercus acutissima forest, Pinus thunbergii forest within the rock fields, and an artificial forest (Ailanthus altissima-Robinia pseudoacacia forest, Robinia pseudoacacia forest) and Quercus acutissima - Elaeagnus umbellata forest. On the Hanul course, Pinus rigida forest and Robinia pseudoacacia forest were the main vegetation, which were artificial forest. It was the contrast aspect of vegetation species in a natural forest, a restoration forest and an artificial forest, which were Q. spp. mixed forest 26~28 species in a natural forest within the vegetation type per investigation area, 3 Pinus thunbergii forest species, and 5~7 artificial forest species on the Hanul course. Based on these vegetation status, the Ocean course was designed into ecological theme spaces named 'Quercus spp.' indigenous forest, 'Pinus thunbergii' restoration forest and ecological story of 'SAMMOK earthen ramparts'. The Hannul course was designed into an artificial forest observation area of 'Robinia pseudoacacia' and 'Pinus rigida' and a fragrance forest area of 'Robinia pseudoacacia'. At the time of the discussion about the introduction of eco-friendly approval system of golf course, it would be estimated that this survey would work as a major material not only raising awareness of the golf course on the ecological environment but also providing programs that can contribute to the community.

• Journal of agriculture & life science
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• v.46 no.6
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• pp.51-57
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• 2012

This study was carried out to analyze chemical compositions of the fog water of a forest area, Jinju and to provide basic information for establishing measures on the acid fog water of forest area. The results are as follows: The pH of fog water was 4.3 in 2010, whereas the pH in 2011 was 4.0. The electrical conductivity of the fog water was $477.2{\mu}s$ in 2010, and $562.7{\mu}s$ in 2011. Among the anions, the concentration of $NO^{3-}$ was the highest, which recorded 267.1 mg/L in spring season and 279.1 mg/L in summer season, followed by $SO{_4}^{2-}$ at the concentration of 177.2 mg/L in spring season and 198.6mg/L in summer season. In autumn and winter, the concentration of $NO^{3-}$ was highest as 217.7 mg/L and 237.9 mg/L, respectively and followed by $SO{_4}^{2-}$, which concentration was 164.2 mg/L in autumn season and 190.1 mg/L in winter season (p<0.05). Among the cations, the concentration of $Ca^{2+}$ was 221.3 mg/L in spring and 233.7mg/L in summer, followed by $Na^+$ at 125.1 mg/L in spring season and 131.7 mg/L in summer In autumn and winter, the concentration of $Ca^{2+}$ was highest at 196.8 mg/L and 198.8 mg/L, followed by $Na^+$ at the concentration of 97.1 mg/L in autumn and 117.2 mg/L in winter (p<0.05). The pH of the fog rain that causes acid mist showed the correlation with $Ca^{++}$ (1% of level), $EC(r=-0.9861^{**})$, $NO^{3-}$ ($r=-0.9677^{**}$), and $SO{_4}^{2-}$ ($r=-0.9510^{**}$). The regression equation on the factors affecting the generation of acidic fog rain was estimated to be a $Y(pH)=6.4627+0.9723X_2(EC)+0.9364X_4(NO_3{^-})+0.9044X_5(SO{_4}^{2-})+0.8049X_{10}(Ca^{2+})+0.6709X_8(K^+)\;(r^2=0.8787)$.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.903-916
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• 2021

An area's topography refers to the shape of the earth's surface, described by its elevation, slope, and aspect, among other features. The topographical conditions determine energy flowsthat move water and energy from higher to lower elevations, such as how much solar energy will be received and how much wind or rain will affect it. Another common factor, the topographic wetness index (TWI), is a calculation in digital elevation models of the tendency to accumulate water per slope and unit area, and is one of the most widely referenced hydrologic topographic factors, which helps explain the location of forest vegetation. Analyses of topographical factors can be calculated using a geographic information system (GIS) program based on digital elevation model (DEM) data. Recently, a large number of free open source software (FOSS) GIS programs are available and developed for researchers, industries, and governments. FOSS GIS programs provide opportunitiesfor flexible algorithms customized forspecific user needs. The majority of biodiversity in island areas exists at about 20% higher elevations than in land ecosystems, playing an important role in ecological processes and therefore of high ecological value. However, island areas are vulnerable to disturbances and damage, such as through climate change, environmental pollution, development, and human intervention, and lacks systematic investigation due to geographical limitations (e.g. remoteness; difficulty to access). More than 4,000 of Korea's islands are within a few hours of its coast, and 88% are uninhabited, with 52% of them forested. The forest ecosystems of islands have fewer encounters with human interaction than on land, and therefore most of the topographical conditions are formed naturally and affected more directly by weather conditions or the environment. Therefore, the analysis of forest topography in island areas can be done more precisely than on its land counterparts, and therefore has become a major focus of attention in Korea. This study is focused on calculating the performance of different topographical factors using FOSS GIS programs. The test area is the island forests in Korea's south and the DEM of the target area was processed with GRASS GIS and SAGA GIS. The final slopes and TWI maps were produced as comparisons of the differences between topographic factor calculations of each respective FOSS GIS program. Finally, the merits of each FOSS GIS program used to calculate the topographic factors is discussed.

• Journal of Korean Society of Forest Science
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• v.105 no.3
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• pp.321-329
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• 2016

To estimate the sediment discharge controlled by sediment-filled check-dam and thereby enhancing factor for check-dam design and dredging criteria, we surveyed slope failures and stream-bed fluctuation caused by geomorphic disturbances (i.e., landslides and debris flows) in Inje, Gangwondo. In general, check-dams play roles for restraining and controlling sediment discharge within a section under the design equilibrium gradient and a section under the design flood gradient, respectively. The results in this study showed same pattern: that is, the closed type check-dam, which has a design restraint sediment discharge of $2,111m^3$, estimated to control a sediment discharge of $3,996m^3$ in the stream section within 250 m right upper area immediately after the disturbances occurred in 2006. As a result, a design control sediment discharge of the check-dam was larger than its design restraint sediment discharge. This represents that the check-dam is still having an own function for controlling sediment discharge although it exceeded the designed capacity by the sediment discharged from upstream during the disturbances. Our finding suggests that the sediment discharge controlling of check-dam may need to be evaluated separately from its sediment discharge restraint. Currently, the country, however, does not consider the design control (or restraint) sediment discharges, based on the actual field survey, as criteria for check-dam design and/or dredging work. Therefore, the accumulation of the quantitative data is required to support that check-dam has functions for both restraining and controlling sediment discharge. This would be a way to develop our erosion control technology to the scientific technology equipped with a more objective and systematic aspects.

• Journal of the Korean association of regional geographers
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• v.12 no.5
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• pp.614-630
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• 2006

Improved estimates of populations at risk for quick and effective response to natural and man-made disasters require spatial disaggregation of zonal population data because of the spatial mismatch problem in areal units between census and impact zones. This paper implements a dasymetric surface model to facilitate spatial disaggregation of the population of a census block group into populations associated with each constituent pixel and evaluates the performance of the surface-based spatial disaggregation model visually and statistically. The surface-based spatial disaggregation model employed geographic information systems (GIS) to enable dasymetric interpolation to be guided by satellite-derived land use and land cover data as additional information about the geographic distributor of population. In the spatial disaggregation, percent cover based empirical sampling and areal weighting techniques were used to objectively determine dasymetric weights for each grid cell. The dasymetric population surface for the Atlanta metropolitan area was generated by the surface-based spatial disaggregation model. The accuracy of the dasymetric population surface was tested on census counts using the root mean square error (RMSE) and an adjusted RMSE. The errors related to each census track and block group were also visualized by percent error maps. Results indicate that the dasymetric population surface provides high-precision estimates of populations as well as the detailed spatial distribution of population within census block groups. The results also demonstrate that the population surface largely tends to overestimate or underestimate population for both the rural and forested and the urban core areas.

• Spatial Information Research
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• v.22 no.2
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• pp.1-9
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• 2014

UN-REDD (United Nations programme on Reducing Emissions from Deforestation and forest Degradation in Developing Countries) and AR-CDM (Afforestation/Reforestation-Clean Development Mechanism) is currently being emerged as one of important mechanism to reduce carbon dioxide in relation to the deforestation. Discussion on North Korea as UN-REDD/AR-CDM project target continues with a view to preventing deforestation and to securing CER(certified emission reduction) for South Korea. The forests in Mt. Baekdu are degraded, deforestation is occurred, nevertheless, portion of forested area is still high, where both REDD and AR-CDM investment potential are quite high. Accordingly, this study is intended to explore a simultaneous registration potential to UNREDD/AR-CDM for Mt. Baekdu although separate registration to UN-REDD or AR-CDM has already gained worldwide recognition as a typical method in the process of GHG (Greenhouse Gas) reduction project. The results indicate that selecting UN-REDD or AR-CDM in accordance with sub-watershed forest condition could capture 53.2% more carbon dioxide than REDD alone and 21.9% more than AR-CDM alone. It is anticipated that this research output could be used as a realistic evidence to introduce carbon sequestering project in accordance with sub-watershed forest condition.

• Journal of Korean Society of Forest Science
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• v.98 no.6
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• pp.780-790
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• 2009

The objective of this study was to analyze 'Forestland Classification System' in Korea and to develop a strategy for its improvement. A survey was conducted in this study based on the Delphi technique, one of the interactive survey method relying on a panel of experts. The result indicated that the existing 'Forestland Classification System' was initiated for reasonable management of forestland, but now it turned into one of the most strict management restrictions. To improve forestland management in Korea, it was suggested to adopt 'Forest Function System' in this study. Moreover, to avoid indiscreet landuse conversion that might be occurred by substituting the 'Forest Function System' for the 'Forestland Classification System', it was suggested to adopt 'Forestland Conversion Propriety Assessment System'. In fact, landuse conversion has been regulated by the 'Environmental Impact Assessment System', but this system appeared inadequate to be applied to the forested area. Illegal acts for having permission of landuse conversion for reserved forests was another big issue in the forestland management. For example, alteration of the reserved status of forests or partition into patches smaller than the size limit has been attempted. Thus in this study, it was strongly recommended to take sanction against such illegal acts. In order to enhance the efficiency of forestland management, it was also suggested to integrate administrative agencies related to the landuse conversion or to take over the charge to local governments.

• Journal of the Korean Society of Safety
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• v.38 no.4
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• pp.39-46
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• 2023

Pine trees, which account for 23% of the forested area of the Republic of Korea, are highly vulnerable to fire in comparison to broad-leaved trees due to the presence of consistent water tube sections throughout the year and resin that is composed of approximately 20% oil. In addition, the pattern of forest fires is determined by weather, topographic conditions, and fluctuation in moisture content. Therefore, when fire breaks out in pine tree forests during the dry season (January to March), it is difficult to extinguish, and it quickly spreads. In this study, the combustion characteristics of pine needles, pine cones, and pine branches in the water tube sections of living pine trees were compared and analyzed in accordance with the moisture content as per the ISO 5660-1. The monthly moisture content was analyzed from January to March, and it was found to be the lowest in March, with 53.6% for pine needles, 51.9% for pine branches, and 10.9% for pine cones. In particular, pine cones were more vulnerable to fire as compared to pine needles and pine branches because their moisture content was more than five times lower than that of pine needles and branches. The ignition time, which affects the speed of flame propagation, was the most rapid in March, and the fastest ignition time was for pine cones, at 19 seconds, followed by 34 seconds for pine needles, and 256 seconds for pine branches. The pine branches were the last to be ignited due to the effect of density, according to the thickness and specific gravity of the specimen. The peak heat release rate, which is a measurable index of fire intensity, was analyzed for pine cones and found to be 184.28 kW/m² , while the mean effective heat of combustion was 19.79 MJ/kg, and the total heat release rate was 39.7 MJ/m² , and these values were higher than those of pine branches and pine needles. Thus, we determined that the flame propagation speed and fire intensity according to the moisture content can be used to evaluate the risk of fire to the water tube section of pine trees. It is suggested that because of the combustion characteristics of the pine cone in March, that is when the forest is most vulnerable to fires.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.4
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• pp.17-34
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• 2023

Camera trapping has been used as a non-invasive survey method that minimizes anthropogenic disturbance to ecosystems. Nevertheless, it is labor-intensive and time-consuming, requiring researchers to quantify species and populations. In this study, we aimed to improve the preprocessing of camera trapping data by utilizing an object detection algorithm. Wildlife monitoring using unmanned sensor cameras was conducted in a forested urban forest and a green space on a university campus in Cheonan City, Chungcheongnam-do, Korea. The collected camera trapping data were classified by a researcher to identify the occurrence of species. The data was then used to test the performance of the YOLO-X object detection algorithm for wildlife detection. The camera trapping resulted in 10,500 images of the urban forest and 51,974 images of green spaces on campus. Out of the total 62,474 images, 52,993 images (84.82%) were found to be false positives, while 9,481 images (15.18%) were found to contain wildlife. As a result of wildlife monitoring, 19 species of birds, 5 species of mammals, and 1 species of reptile were observed within the study area. In addition, there were statistically significant differences in the frequency of occurrence of the following species according to the type of urban greenery: Parus varius(t = -3.035, p < 0.01), Parus major(t = 2.112, p < 0.05), Passer montanus(t = 2.112, p < 0.05), Paradoxornis webbianus(t = 2.112, p < 0.05), Turdus hortulorum(t = -4.026, p < 0.001), and Sitta europaea(t = -2.189, p < 0.05). The detection performance of the YOLO-X model for wildlife occurrence was analyzed, and it successfully classified 94.2% of the camera trapping data. In particular, the number of true positive predictions was 7,809 images and the number of false negative predictions was 51,044 images. In this study, the object detection algorithm YOLO-X model was used to detect the presence of wildlife in the camera trapping data. In this study, the YOLO-X model was used with a filter activated to detect 10 specific animal taxa out of the 80 classes trained on the COCO dataset, without any additional training. In future studies, it is necessary to create and apply training data for key occurrence species to make the model suitable for wildlife monitoring.