• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.1
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• pp.75-84
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• 1998

To achieve more accurate information from satellite image data, a research on a technique for mixed pixel ex-traction has been produced. The mixed pixels with only two land covers have been experimented. By analyzing canonical vector in canonical correlation classification, the mixed pixels have been classified. The ratio of the two canonical weighted values-the elements of canonical vector have been used as a threshold to discriminate mixed pixels. In case of the classification for the mixed pixels of bridge and water class in TM data before or after the 1st of September, the threshold for the optimal classification of the mixed pixels is 4.0. That is, if the ratio of the two canonical weighted values is less than 4.0, the pixel is a mixed pixel. Also, using the distribution of canonical weighted values, the constitution percentages of land covers within one mixed pixel can be approximately deducted. The accuracy of mixed pixel extraction for experimental area is 90％ and quite acceptable. Conclusively, a technique for mixed pixel extraction by canonical vector analysis is effective.

• Journal of Environmental Impact Assessment
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• v.28 no.6
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• pp.568-579
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• 2019

The present study aims to identify the effect of land cover categories on particulate matter (PM) concentrations by analyzing the correlation between monthly PM concentrations in Seoul's air quality monitoring network and the percentages of land cover categories by buffers around air quality monitoring stations. According to a monthly correlation analysis between land cover categories and PM concentrations, in the buffer 3km, PM₁₀ showed a better correlation than PM_2.5, there was a clear negative correlation with the forest area, the grassland and the urbanized area had some positive correlation with PM₁₀, and the barren land and the urbanized area had some positive correlation with PM_2.5. According to a monthly correlation analysis of dominant land cover sub-categories and sub-sub-categories within the buffer 3km, PM₁₀ showed a clear negative correlation with the broad-leaved forest, and some positive correlation with the road was dominant. PM_2.5 showed partly negative correlation with the broad-leaved forest and partly positive correlation with the commercial area. There was a very low or no correlation with other grassland and bare land subcategories. A monthly stepwise regression analysis on noticeable land cover sub-categories and sub-sub-categories with positive or negative correlations revealed that an increasing percentage of the broad-leaved forest had a clear effect on reducing PM₁₀ concentrations, and the road was excluded from the selected variables. Although an increasing percentage of the commercial area had some effect on increasing monthly PM_2.5 concentrations and an increasing percentage of the broad-leaved forest had an effect on decreasing the PM_2.5 concentrations, their effect size was smaller than that on PM₁₀. The forest area around the city center had the largest and clearest effect on reducing PM concentrations. The urbanized area's sub-categories and sub-sub-categories were also confirmed to have some effect on increasing PM concentrations.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.823-833
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• 2022

This study aims to improve the runoff modeling accuracy of a basin using Hydrological Simulation Program-FORTRAN (HSPF) model by considering nonhomogeneous characteristics of a basin. By entering classified values according to the various types of land cover and soil to the parameters in HSPF-roughness coefficient (NSUR), infiltration (INFILT), and evapotranspiration (LZETP)- the heterogeneity of the Yongdam Dam basin was reflected in the model. The results were analyzed and compared with the one where the parameters were set as a single value throughout the basin. The flow rate and water quality simulation results showed improved results when classified parameters were used by land cover and soil type than when single values were used. The parameterization changed not only the flow rate, but also the composition ratio of each hydrologic components such as surface runoff, baseflow, and evapotranspiration, which shows the impact of the value set to a parameter on the entire hydrological process. This implies the importance of considering the heterogeneous characteristics of the land cover and soil of the basin when setting the parameters in a model.

• 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 Environmental Impact Assessment
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• v.26 no.6
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• pp.385-403
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• 2017

This study showed the national ecosystem classification for the spatial standards of ecosystems-based approaches to the risk assessments and adaptation plan. The characteristics of climate change risk assessment, implement national adaptation plans, and ecosystem/habitat classification status was evaluated. Focusing on the land cover classification widely utilized as spatial data for the assessments of biodiversity and ecosystem services in the UK and other countries in Europe, the applicability of the national land cover classification for climate change risk assessments was reviewed. Considering the ecosystem classification for climate change risk assessment and establishing adaptation measures, it is difficult to apply rough classification method to the land cover system because of lack of information on habitat trend by categorization. The results indicated that forest ecosystems and agro-ecosystem occupied 62.3% and 25.0% of land cover, respectively, of the entire country. Although the area is small compared with the land area, wetland ecosystem (2.9%), marine ecosystem (0.4%), coastal ecosystem (0.6%), and urban ecosystem (6.1%) can be included in the risk assessments. Therefore, it is necessary to subdivide below the medium classification for the forest and agricultural land, as well as Inland wetland, which has a higher proportion of habitat preference of taxa than land area, marine/coastal habitat, and transition areas such as urban and natural ecosystem.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.496-500
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• 2009

소하천은 하천 네트워크의 최상류에 넓게 소재하는 하천이다. 본 연구의 목적은 올바른 소하천 수생태계 관리방안을 도출하기 위하여 소하천의 건강성을 분석하고 현행 소하천 관리제도의 개선점을 모색하는 것이었다. 본 연구에서는 다음과 같은 분석방법을 이용하였다. 첫째, 2007년 한강수계 소하천 28개 지점에서의 부착조류($DAI_{PO}$, TDI), 저서성 대형무척추동물(KSI), 어류(IBI), 서식환경, 수변환경 등 6개 항목에 대한 수생태 건강성 조사결과를 토대로 공간적 분포와 수질현황을 조사하여 소하천에 대한 종합적인 건강성 평가를 실시하였다. 둘째, 분석대상지역을 각각 소하천 구간스케일(28개 지점)과 유역스케일(팔당호, 안성천 유역)로 선정, 하천차수도(1:25,000)를 활용하여 해당 구간과 유역의 소하천도를 작성하였다. 셋째, 작성된 소하천도 는ArcGIS(ver. 9.3)에서 30, 60, 90, 120, 150-m Buffering을 하였다. 다음으로 소하천 구간은 중분류(23개 항목, $2000{\sim}2006$ 또는 2007년) 토지피복도를, 팔당호 및 안성천 유역의 소하천은 대분류(8개 항목, $1975{\sim}2000$년) 토지피복도를 적용하여 분류항목별 면적변화비율을 산정하였다. 끝으로 소하천 정비에 대한 제도적 문제점을 분석하여 소하천 관리의 개선점을 연구하였다. 그 연구 결과, 첫째 연구대상 소하천(28개)의 건강성은 도심 소하천에서 가장 낮게 조사되었고, 일부 소하천은 비록 상류에 위치함에도 불구하고 부착조류의 유기물, 영양염류 평가가 낮게 평가되었다. 둘째, 소하천 구간 스케일의 수변토지피복변화 분석결과 소하천 수생태 건강성은 거시적으로 산림, 도시화, 밭 등의 피복변화에 민감한 것으로 나타났으며 도시화 피복변화의 영향은 수변 30m에서 60m보다 3배 정도 큰 것으로 나타났다. 유역 스케일 분석에서는 상대적으로 도시화가 많이 진행된 안성천 유역의 소하천이 팔당호 유역보다 낮은 건강성일 것으로 예측되었다. 결론적으로 적절한 소하천 수변관리는 지역 하천의 건강성을 온전히 회복시키고 개선 유지하기 위한 중요한 수단들 중에 하나이며 수변토지피복의 변화율은 (소)하천 건강성 또는 유역관리의 지표로 활용될 수가 있는 것으로 조사되었다. 이와 더불어 본 연구를 통해 소하천 복원 및 관리는 소하천 특성을 고려한 장기적인 계획과 관리대상의 우선순위를 바탕으로 점진적인 대안마련이 필요할 것으로 사료된다.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.4
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• pp.100-118
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• 2015

This study established a land-cover classification method on objects using satellite images, and figured out distributional patterns of land cover according to categories through spatial statistics techniques. Object-based classification generated each land cover classification map by spectral information, texture information, and the combination of the two. Through assessment of accuracy, we selected optimum land cover classification map. Also, to figure out spatial distribution pattern of land cover according to categories, we analyzed hot spots and quantified them. Optimal weight for an object-based classification has been selected as the Scale 52, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5. In case of using the combination of spectral information and texture information, the land cover classification map showed the best overall classification accuracy. Particularly in case of dry fields, protected cultivation, and bare lands, the accuracy has increased about 12 percent more than when we used only spectral information. Forest, paddy fields, transportation facilities, grasslands, dry fields, bare lands, buildings, water and protected cultivation in order of the higher area ratio of DMZ according to categories. Particularly, dry field sand transportation facilities in Yanggu occurred mainly in north areas of the civilian control line. dry fields in Cheorwon, forest and transportation facilities in Inje fulfilled actively in south areas of the civilian control line. In case of distributional patterns according to categories, hot spot of paddy fields, dry fields and protected cultivation, which is related to agriculture, was distributed intensively in plains of Yanggu and in basin areas of Cheorwon. Hot spot areas of bare lands, waters, buildings and roads have similar distribution patterns with hot spot areas related to agriculture, while hot spot areas of bare lands, water, buildings and roads have different distributional patterns with hot spot areas of forest and grasslands.

• Korean Journal of Remote Sensing
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• v.32 no.2
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• pp.105-118
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• 2016

The purpose of this study is to improve the classification system of sub-divided land cover map among the land cover maps provided by the Ministry of Environment. To accomplish the purpose, first, the overseas country land cover map classification items were examined in priority. Second, the area ratio of each item established by applying the previous sub-divided classification system was analyzed. Third, the survey on the improvement of classification system targeting the users (experts and general public) who actually used the sub-divided land cover map was carried out. Fourth, a new classification system which improved the previous system by reclassifying 41 classification items into 33 items was finally established. Fifth, the established land cover classification items were applied on study area, and the land cover classification result according to the improvement method was compared with the previous classification system. Ilsan area in Goyang city where there are diverse geographic features with various land surface characteristics such as the urbanization area and agricultural land were distributed evenly were selected as the study area. The basic images used in this study were 0.25 m aerial ortho-photographs captured by the National Geographic Information Institute (NGII), and digital topographic map, detailed stock map plan, land registration map and administrative area map were used as the relevant reference data. As a result of applying the improved classification system into the study area, the area of culture-sports, leisure facilities was $1.84km^2$ which was approximately more than twice larger in comparison to the previous classification system. Other areas such as transportation and communication system and educational administration facilities were not classified. The result of this study has meaningful significance that it reflects the efficiency for the establishment and renewal of sub-divided land cover map in the future and actual users' needs.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.117-117
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• 2012

본 연구에서는 도시화가 진행중인 경안천($561.1km^2$)유역과 안성천($909.1km^2$) 유역을 대상으로 토지이용 변화를 분석하고 그에 따른 유출특성을 파악하는데 있다. 경안천과 안성천 유역의 과거(1975, 1980, 1985, 1990, 1995, 2000)의 토지이용 분석결과 도시지역 면적이 각각 6.9%와 8.3%씩 증가하였다. 본 연구에서는 미래토지이용 예측을 위하여 CLUE-S (Conversion of Land Use Change and its Effects)모델을 이용하였다. 과거 토지이용 변화 특성을 분석하여 토지피복의 변화와 전이 특성값을 결정하였고, 이를 바탕으로 토지면적 시나리오, 변화 제한지역, 회귀식 결과와 토지이용 변화 특성 값을 CLUE-S 모델에 입력하여 미래의 토지이용변화를 모의하였다. 예측된 토지이용 정보를 가지고 2040s (2020-2059)와 2080s (2060-2099)의 기간으로 나누어 수문모의가 가능한 SWAT (Soil and Water Assessment Tool) 모형에 적용 및 그에 따른 유출특성을 파악하였다. SWAT 모형의 적용성 평가를 위하여 안성천과 경안천 유역을 대상으로 1998~2005의 기간 동안 일별 유출, 자료에 대한 보정 및 검증을 실시하였다. 미래의 토지이용 변화에 따른 유역의 유출특성의 영향은 도시의 비율이 큰 유역에서 더 많이 나타날 것으로 기대된다.

• Asian Journal of Turfgrass Science
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• v.16 no.2
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• pp.107-114
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• 2002

In this study, We measured air temperature in a vegetated area to investigate if stand types and height affect air temperature. With the measured data, we analyzed the relation-ships between air temperature vs. ground cover type, vegetated area, stand structure, stand density, and tree volume by regression analysis. The results show that the paved area and open field have higher air temperatures than the vegetated area and water-related areas. Among the stand types, the stand with overstory and sub-overstory showed relatively low are temperature. The stand with overstory had lower air temperature than the stand with sub-overstory. Increasing stand density was effective for lowering air temperature.