• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.1-14
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• 2017

A land cover map provides basic information to help understand the current state of a region, but its utilization in the ecological research field has deteriorated due to limited temporal and spatial resolutions. The purpose of this study was to investigate the possibility of using a land cover map with data based on high resolution images acquired by UAV. Using the UAV, 10.5 cm orthoimages were obtained from the $2.5km^2$ study area, and land cover maps were obtained from object-based and pixel-based classification for comparison and analysis. From accuracy verification, classification accuracy was shown to be high, with a Kappa of 0.77 for the pixel-based classification and a Kappa of 0.82 for the object-based classification. The overall area ratios were similar, and good classification results were found in grasslands and wetlands. The optimal image segmentation weights for object-based classification were Scale=150, Shape=0.5, Compactness=0.5, and Color=1. Scale was the most influential factor in the weight selection process. Compared with the pixel-based classification, the object-based classification provides results that are easy to read because there is a clear boundary between objects. Compared with the land cover map from the Ministry of Environment (subdivision), it was effective for natural areas (forests, grasslands, wetlands, etc.) but not developed areas (roads, buildings, etc.). The application of an object-based classification method for land cover using UAV images can contribute to the field of ecological research with its advantages of rapidly updated data, good accuracy, and economical efficiency.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.79-90
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• 2017

Urban environment represent one of the most dynamic regions on earth. As in other countries, forests, green areas, agricultural lands are rapidly changing into residential or industrial areas in South Korea. Monitoring such rapid changes in land use requires rapid data acquisition, and satellite imagery can be an effective method to this demand. In general, SAR(Synthetic Aperture Radar) satellites acquire images with an active system, so the brightness of the image is determined by the surface roughness. Therefore, the water areas appears dark due to low reflection intensity, In the residential area where the artificial structures are distributed, the brightness value is higher than other areas due to the strong reflection intensity. If we use these characteristics of SAR images, settlement areas can be extracted efficiently. In this study, extraction of settlement areas was performed using TerraSAR-X of German high-resolution X-band SAR satellite and KOMPSAT-5 of South Korea, and object-oriented image classification method using the image segmentation technique is applied for extraction. In addition, to improve the accuracy of image segmentation, the speckle divergence was first calculated to adjust the reflection intensity of settlement areas. In order to evaluate the accuracy of the two satellite images, settlement areas are classified by applying a pixel-based K-means image classification method. As a result, in the case of TerraSAR-X, the accuracy of the object-oriented image classification technique was 88.5%, that of the pixel-based image classification was 75.9%, and that of KOMPSAT-5 was 87.3% and 74.4%, respectively.

• Journal of Korean Society on Water Environment
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• v.32 no.2
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• pp.142-148
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• 2016

The characterization of stormwater runoff from mix land-use catchments with an inadequate sewer network is a challenge. This study focused on characterizing stormwater runoff from the Paldang watershed area based on land-use type and sewer system coverage. A total of 76 sites were monitored during wet weather from seven different counties within Paldang watershed. Public sewer system (PSS) was installed at 48 sites, while 28 sites had no or individual sewer system (ISS) coverage. The results indicated that the sites included in the ISS group with higher forest and paddy land-use percentage exhibit higher values of average event mean concentrations (EMCs) and first flush intensity for suspended solids (SS), total nitrogen (TN), and total phosphorous (TP). In addition, upgrading runoff interception system can capture 59 % of the TP load in the first 43% of runoff within these sites. Similarly, rainfall depth and storm duration showed a positive correlation (R > 0.6) with nutrient loads within ISS group sites, as compared to PSS group. Therefore, these sites are likely to contribute higher TP and TN loads during heavier storm events and should be selected as priority management areas to combat the problem of eutrophication in Paldang reservoir.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.25-25
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• 2019

1953년 7월 27일 정전협정 이후 한반도를 가로지르는 DMZ (Demilitarized zone: 비무장지대)가 설정되었다. DMZ에 출입은 군사정전위원회의 허가가 있어야 가능하기에 군사시설 및 군작전지역을 포함하여 DMZ 및 민간인통제선 이북은 민간인 접근의 제한으로, 단절된 공간으로 변모하였다. DMZ는 우리나라의 대표적인 동고서저의 지형 및 다양한 생태환경을 두루 갖추고 있어 중요한 생태적 요충지로 평가받고 있다. 산림지역은 민간인통제지역까지 합치면 40여개의 산지가 분포하고 있으며, 하천은 크게 15개의 크고 작은 하천이 위치하고 있다. 남방한계선 수계를 따라 일부지역들은 하천 배후습지, 묵논습지 등 습원형태로도 많이 발견되고 있다. 이런 습원지역들은 대부분 미확인 지뢰지대로 접근이 제한적인 만큼 지난 세월의 흔적들을 고스란히 담고 있다. 1965년 한국자연보존연구회는 30여명의 국내학자를 동원하여 서울에서 가까운 DMZ 인접지역에 대한 예비적인 학술조사를 실시하였으며, 이를 계기로 1966년 10월부터 1968년 9월까지 2년간에 걸쳐 한국자연보존위원회 34명의 국내학자와 미국 스미소니언연구소(Smithsonian Institution) H. K. Buechner 박사를 대표로 5명의 국외학자가 공동으로 종합적인 학술조사를 수행하였다. 이는 DMZ 연구의 시작을 알렸으며, 이후 남북관계나 시대여건에 맞추어 간헐적으로 다양한 조사 및 연구들이 이어져오고 있다. 2015년부터 2018년까지 DMZ 철책주변 현장조사를 통해 확인된 식물현황은 964분류군이다. 군시설로 인해 식물서식환경이 제한적인 상황이지만 척박한 환경에 적응하고 있는 식물은 다양하다. DMZ와 맞닿아 있는 7개 지역에 대한 식물현황은 철원 638분류군, 연천 631분류군, 양구 525분류군 순으로 나타났다. 대부분 중동부 지역에 높은 식물종수가 나타났으며, 서부와 동부의 식물들이 고르게 나타나는 결과로 보인다. 큰잎쓴풀, 봉래꼬리풀 등 희귀식물도 있는 반면, 잠재적으로 생태계에 영향을 줄 수 있는 침입외래식물도 다수 포함되어 있어서, 지속적인 모니터링 및 관리가 필요하다. 그 중에서도 양구지역에 새롭게 발견된 Macleaya cordata (Willd.) R.Br.(양귀비과)는 독성이 포함된 식물이며, 인제에서 2014년에 발견된 미역취아재비는 DMZ일원에 제한적으로 분포하는 종이였으나 현재 연천에서 발견되는 등 확산에 대한 관리방안이 필요하다.

• Korean Journal of Plant Resources
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• v.34 no.5
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• pp.491-501
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• 2021

This study was carried out to investigate the occurrence of seedlings of Korean fir (Abies koreana) in Korean fir forest located on the eastern slope of Mt. Halla National Park. Between June and August in 2016, the systematic sampling method was applied to 125 plots of 5 m × 5 m quadrats and field survey was came out to measure the characteristics of sites and understory vegetation. Correlation analysis was applied to the variables quantified from the data collected. Total number of flora found at the study site is 31 in families, 44 in genera, and 56 in species. The main lower layer vegetation was investigated such as Jeju dwarf bamboo, Toothed club moss (Lycopodium serratum), Pacific fir moss (Lycopodium chinense), Climbing hydrangea (Hydrangea petiolaris) etc. Among these plant species, the vegetation which had a high positive correlation with the frequency and the coverage of seedlings of Korean fir were Jeju dwarf bamboo, Toothed club moss and Pacific fir moss.

• Ecology and Resilient Infrastructure
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• v.7 no.4
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• pp.374-387
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• 2020

This study was conducted to provide basic data for monitoring the trend of ecosystem change and establishing management plans for wetland protection areas by understanding the status of naturalized plants. In 21 wetland protection areas, 129 taxa, including 10 invasive alien species, were recorded. The naturalized plants appeared mostly as 71 taxa in the Chimsil wetland and were not observed in the Moojechineup and Sumeunmulbaengdui wetlands. Among the naturalized plants, 42 taxa (32.6%) originated from North America. Annual and biennial plants accounted for 68.2% (88 taxa). The frequencies of occurrence of naturalized plants growing in dry secondary grasses such as Erigeron annuus and Trifolium repens were high, and clonal plants that propagated by making stolons and struck roots accounted for 19.4% (25 taxa). The naturalized and urbanization indices showed positive correlations with location factors such as wetland, agricultural land, and used area. However, a negative correlation was found between altitude and forest. Therefore, a management plan that synthetically considers the occurrence frequency and growth characteristics of naturalized plants as well as the locational characteristics of wetland protection areas is required.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.541-548
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• 2021

Recently, multispectral cameras are being actively utilized in various application fields such as agriculture, forest management, coastal environment monitoring, and so on, particularly onboard UAV's. Resultant multispectral images are typically georeferenced primarily based on the onboard GPS (Global Positioning System) and IMU (Inertial Measurement Unit)or accurate positional information of the pixels, or could be integrated with ground control points that are directly measured on the ground. However, due to the high cost of establishing GCP's prior to the georeferencing or for inaccessible areas, it is often required to derive the positions without such reference information. This study aims to provide a means to improve the georeferencing performance of a multispectral camera images without involving such ground reference points, but instead with the simultaneously onboard high resolution RGB camera. The exterior orientation parameters of the drone camera are first estimated through the bundle adjustment, and compared with the reference values derived with the GCP's. The results showed that the incorporation of the images from a high resolution RGB camera greatly improved both the exterior orientation estimation and the georeferencing of the multispectral camera. Additionally, an evaluation performed on the direction estimation from a ground point to the sensor showed that inclusion of RGB images can reduce the angle errors more by one order.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.1
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• pp.1-12
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• 2022

Tilia amurensis is an important honey plant. As T. amurensis mainly distributes mountainous area with various elevations in Korea, accurate prediction of blooming time at the different elevation would benefit forest beekeepers. In this study, we measured time-dependent blooming progress of T. amurensis in Mt. Gariwang area ranging from 500-1500m. Additionally we collected blooming data from web and published literatures and estimated the variation of blooming time relative to the geographic locations. Flowers began to bloom from July 6 to July 22 with full blooming on July 14 in location where elevation is 638m in Mt. G ariwang area in 2021. Based on these databases, a growing degree day (G DD) model was developed for prediction of T. amurensis blooming progress using average daily temperatures. Using the starting date of G DD accumulation of January 1 and base temperature of 5 ℃, blooming period ranging from 10% to 90% of cumulative blooming rate was estimated as 860-1198 degree days (DD). This corresponded to the beginning to the end of July in Mt. Gariwaning area in 2021. This model could explain the phenological variations of T. amurensis flower blooming possibly affected by elevation within geographic area, latitude or year relative to the climate change, and aid forest beekeepers for better timing of nectar foraging by honey bees.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.1
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• pp.13-26
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• 2021

This study was conducted to identify various types of activities of payment contract for ecosystem services. As supporting services, 12 types of activities were derived: fallow, eco-friendly crop cultivation, shelter creation management, etc. As regulating services, 5 types of activities were derived: stream environment purification, creation and management of riparian vegetation, creation and management of forests for responding to climate change, etc. As cultural services, five types of activities were derived: creation and management of landscape forests, creation and management of ecological trails, managing ecosystem conservation, etc.

• Korean Journal of Environment and Ecology
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• v.36 no.4
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• pp.413-421
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• 2022

This study was conducted to identify the vegetation structure of the Abies nephrolepis forests by analyzing species composition in Mt. Doota and Mt. Cheongok in the Gangwon region with the phytosociological method. In order to perform a field investigation, 18 survey areas with an area of about 400 m2 were set up for the stands where A. nephrolepis grow wild. Communities were classified through TWINSPAN and visualized using DCA (Detrended Correspondence Analysis). Species diversity analysis, importance value analysis, and DBH class analysis were employed to identify the characteristics of each community. As a result, the A. nephrolepis forests in Mt. Doota and Mt. Cheongok have been classified into 4 communities; GroupI, II, III and IV. GroupIis Quercus mongolica-A. nephrolepis competitive forest dominated by Q. mongolica and A. nephrolepis in the order. Group II is A. nephrolepis-Betula ermanii competitive forest dominated by A. nephrolepis, Sorbus commixta, and B. ermanii in the order. Group III is dominated by A. nephrolepis, but is expected to have competition between A. nephrolepis and Q. mongolica in the future due to the mass occurrence of Q. mongolica saplings. A. nephrolepis, S. commixta, and Q. mongolica are the dominant species in Group IV, and A. nephrolepis is the major dominant species in all layers. The species diversity of the A. nephrolepis forests in Mt. Doota and Mt. Cheongok is lower than other A. nephrolepis forests in Mt. Seorak, Maruguem, and Mt. Odae. It is necessary to establish conservation measures and to continuously monitor the A. nephrolepis forests in Mt. Doota and Mt. Cheongokis due to the harsh environment and the competition that may occur between A. nephrolepis and deciduous trees such as Q. mongolica in the future.