• Spatial Information Research
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• 제15권1호
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• pp.67-80
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• 2007

토지피복도는 지표면의 상태를 나타내는 자료로 특히 환경 분야에서 지역의 현황을 파악하고 정책을 수립하기 위한 기초적인 자료이다. 토지피복도를 효과적으로 제작하기 위해서는 인공위성을 이용하여 한 지표면 현황에 대한 정보를 신속하게 수집하고, 이를 지리정보로 변환하여 구축하고 관리하여야한다. 본 연구에서는 우리나라 환경부에서 구축한 중분류 토지피복도의 제작과정을 검토하고, 이를 객관적이고 구체적으로 개선하고자 한다. 이를 위하여 국내외의 토지피복도 제작 현황과 문제점을 파악한 후, 중분류 토지피복도를 제작하기 위한 구체적이고 효과적인 개선방안을 제시하였다. 본 연구에서 제시한 경계선 설정기준과 속성정보 부여기준은 기존의 토지피복도 제작과정에서 나타난 문제점을 보완할 수 있었다.

• 대기
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• 제20권4호
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• pp.415-426
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• 2010

A Land cover map over East Asian region (Kongju national university Land Cover map: KLC) is classified by using support vector machine (SVM) and evaluated with ground truth data. The basic input data are the recent three years (2006-2008) of MODIS (MODerate Imaging Spectriradiometer) NDVI (normalized difference vegetation index) data. The spatial resolution and temporal frequency of MODIS NDVI are 1km and 16 days, respectively. To minimize the number of cloud contaminated pixels in the MODIS NDVI data, the maximum value composite is applied to the 16 days data. And correction of cloud contaminated pixels based on the spatiotemporal continuity assumption are applied to the monthly NDVI data. To reduce the dataset and improve the classification quality, 9 phenological data, such as, NDVI maximum, amplitude, average, and others, derived from the corrected monthly NDVI data. The 3 types of land cover maps (International Geosphere Biosphere Programme: IGBP, University of Maryland: UMd, and MODIS) were used to build up a "quasi" ground truth data set, which were composed of pixels where the three land cover maps classified as the same land cover type. The classification results show that the fractions of broadleaf trees and grasslands are greater, but those of the croplands and needleleaf trees are smaller compared to those of the IGBP or UMd. The validation results using in-situ observation database show that the percentages of pixels in agreement with the observations are 80%, 77%, 63%, 57% in MODIS, KLC, IGBP, UMd land cover data, respectively. The significant differences in land cover types among the MODIS, IGBP, UMd and KLC are mainly occurred at the southern China and Manchuria, where most of pixels are contaminated by cloud and snow during summer and winter, respectively. It shows that the quality of raw data is one of the most important factors in land cover classification.

• 대기
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• 제19권2호
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• pp.169-182
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• 2009

To improve the performance of climate and numerical models, concerns on the land-atmosphere schemes are steadily increased in recent years. For the realistic calculation of land-atmosphere interaction, a land surface information of high quality is strongly required. In this study, a new land cover map over the Korean peninsula was developed using MODIS (MODerate resolution Imaging Spectroradiometer) data. The seven phenological data set (maximum, minimum, amplitude, average, growing period, growing and shedding rate) derived from 15-day normalized difference vegetation index (NDVI) were used as a basic input data. The ISOData (Iterative Self-Organizing Data Analysis), a kind of unsupervised non-hierarchical clustering method, was applied to the seven phenological data set. After the clustering, assignment of land cover type to the each cluster was performed according to the phenological characteristics of each land cover defined by USGS (US. Geological Survey). Most of the Korean peninsula are occupied by deciduous broadleaf forest (46.5%), mixed forest (15.6%), and dryland crop (13%). Whereas, the dominant land cover types are very diverse in South-Korea: evergreen needleleaf forest (29.9%), mixed forest (26.6%), deciduous broadleaf forest (16.2%), irrigated crop (12.6%), and dryland crop (10.7%). The 38 in-situ observation data-base over South-Korea, Environment Geographic Information System and Google-earth are used in the validation of the new land cover map. In general, the new land cover map over the Korean peninsula seems to be better classified compared to the USGS land cover map, especially for the Savanna in the USGS land cover map.

• 한국농공학회논문집
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• 제53권4호
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• pp.29-37
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• 2011

Effect of rice straw mat and wood shaves on the reduction of runoff and nonpoint source (NPS) pollution loads from field plots were experimentally studied. Three runoff plots of $5{\times}22$ m in size and 3 % in slope were prepared on a loamy sand field. Each plot was equipped with a flume to measure runoff and collect water samples. Experimental treatments of surface cover were bare, wood shaves (1,000 kg/ha) and rice straw mat cover (3,000 kg/ha). Under radish was cultivation. During the growing season of the radish, three rainfall-runoff events were monitored. Effect of wood shaves and straw mat cover on runoff reduction was 4~30 % and 33~75 % respectively compared to control. The effect on NPS pollution reduction was 36.8 and 64.3 % in BOD, 41.1 and 80.8 % in SS, 34.0 and 56.1 % in TP and 28.0 and 56.6 % in TN respectively. It was analyzed that the reduction of runoff and NPS pollution were mainly contributed by the decrease of rainfall energy impact and flow velocity and the increase of infiltration due to the surface cover materials. Rice straw mat showed very stable soil cover while large portion of wood shaves were lost during heavy storm events. It was concluded that straw mat was an efficient cover material to reduce NPS pollution from upland fields.

• Journal of Ecology and Environment
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• 제41권2호
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• pp.34-44
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• 2017

Background: Monitoring terrestrial vegetation cover condition is important to evaluate its current condition and to identify potential vulnerabilities. Due to simplicity and low cost, point intercept method has been widely used in evaluating grassland surface and quantifying cover conditions. Field-based digital photography method is gaining popularity for the purpose of cover estimate, as it can reduce field time and enable additional analysis in the future. However, the caveats and uncertainty among field-based vegetation cover estimation methods is not well known, especially across a wide range of cover conditions. We compared cover estimates from point intercept and digital photography methods with varying sampling intensities (25, 49, and 100 points within an image), across 61 transects in typical steppe, forest steppe, and desert steppe in central Mongolia. We classified three photosynthetic groups of cover important to grassland ecosystem functioning: photosynthetic vegetation, non-photosynthetic vegetation, and bare soil. We also acquired normalized difference vegetation index from satellite image comparison with the field-based cover. Results: Photosynthetic vegetation estimates by point intercept method were correlated with normalized difference vegetation index, with improvement when non-photosynthetic vegetation was combined. For digital photography method, photosynthetic and non-photosynthetic vegetation estimates showed no correlation with normalized difference vegetation index, but combining of both showed moderate and significant correlation, which slightly increased with greater sampling intensity. Conclusions: Results imply that varying greenness is playing an important role in classification accuracy confusion. We suggest adopting measures to reduce observer bias and better distinguishing greenness levels in combination with multispectral indices to improve estimates on dry matter.

• 한국토양비료학회지
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• 제48권6호
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• pp.671-676
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• 2015

Control of surface runoff from upland soil is essential to reduce nonpoint source pollution. The use of non-woven fabric as a soil cover can be helpful to control surface runoff. The field experiment was conducted to evaluate the furrow cover effects of black non-woven fabric on the nutrient discharge from upland soil used for red pepper cultivation. The experimental plots consisted of chemical fertilizer (CF), cow manure compost (CMC), and pig manure compost (PMC) treatment. Each nutrient material treatment plot has control (no furrow cover (NFC)) and black non-woven fabric cover treatment, respectively. The amount of nutrient application was chemical fertilizer of $190-112-149(N-P_2O_5-K_2O)kgha^{-1}$, cow manure compost of $29.5tonha^{-1}$, and pig manure compost of $7.9tonha^{-1}$ as recommended amount after soil test for red pepper cultivation. Compared to control (NFC), furrow cover treatment with black non-woven fabric reduced the amount of T-N discharge by 50% at CF treatment, 36.9% at CMC treatment, and 44.8% at PMC treatment. Furrow cover treatment with black non-woven fabric reduced the amount of T-P discharge by 37.1% at CF treatment, 49.9% at CMC treatment, and 63.4% at PMC treatment compared to control (NFC). The production of red pepper did not show significant difference. There was no weed occurring in furrow cover treatment plots with black non-woven fabric. Results from this study showed that the furrow cover with black non-woven fabric could play a significant role in reduce nutrient discharge from upland soil used for red pepper cultivation.

• 대한원격탐사학회지
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• 제30권4호
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• pp.511-524
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• 2014

본 연구에서는 12년(2001-2012)간의 MODerate Resolution Imaging Spectroradiometer (MODIS) 토지피복 자료를 이용하여 동북아시아 지역에 대한 토지피복 유형별 통계적 점유율과 연변동을 조사하였다. MODIS 토지피복 자료의 공간해상도는 500 m이며 토지피복 유형의 수는 17개이다. 12년 평균에서 농지(36.96%), 초지(23.14%) 그리고 혼합림(22.97%) 3가지 유형이 분석 영역의 80% 이상을 점유하고 있는 것으로 나타났고, 그 외 농지와 자연 식생의 혼합유형(6.09%), 낙엽활엽수림(4.26%), 도시(2.46%) 그리고 사바나(1.54%) 유형이 점유하고 있는 것으로 나타났다. 비록 자료의 사용 기간이 짧지만 단순회귀분석에서 상록침엽수림, 낙엽활엽수림, 혼합림은 유의수준 5%에서 점유율이 증가하는 경향을 보였으나 사바나 유형은 유의수준 5%에서 감소하는 경향을 보였다. 토지피복 유형이 매년 다르게 분류되는 화소의 비율이 10% 이상이며 토지피복 유형별 점유율의 연변동은 농지(1.41%), 혼합림(0.82%), 초지(0.73%)에서 가장 두드러지게 나타났다. 또한, 12년 동안 토지피복 유형이 1개로만 분류된 화소의 비율은 단지 57%이며, 나머지 화소들에서는 2개 이상으로 분류되었으며 최대 9개 유형으로 분류된 화소도 존재했다. 공간적으로 균질하게 1개 유형만 분포하고 있는 중국 동부와 북서부 지역을 제외한 전체 지역에서 토지피복 유형이 연도별도 다르게 분류되고 있다. 따라서 토지피복 변화에 소요되는 시간적 규모를 고려할 때 동북아시아 지역에서 MODIS 토지피복 자료를 이용할 시 주의가 필요하다.

• 대한원격탐사학회지
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• 제34권6_1호
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• pp.1025-1032
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• 2018

적설은 강수의 한 형태로 지표면에 쌓인 눈으로 정의되며 빙권의 가장 큰 단일 구성 요소로서 지구 표면과 대기 사이의 열 교환이나 전 지구 또는 지역적인 측면에서 지구의 에너지 수지 균형을 유지하는 중요한 역할을 하는 등 지구 표면 온도를 조절하는데 영향을 미친다. 그러나 적설은 인간의 접근이 어려운 지역에 주로 분포하기 때문에 위성을 활용한 적설 탐지가 활발히 수행되고 있으며 산림 지역의 적설 탐지는 구름과 적설의 구분 다음으로 중요한 과정이다. 따라서 본 연구는 기존 극 궤도 위성에서 산림 지역 적설 탐지에 활용하는 Normalized Difference Snow Index(NDSI) 및 Normalized Difference Vegetation Index(NDVI)를 정지궤도 위성에 적용하였으며, 산림 지역 외 영역은 적설의 분광 특징을 활용한 $R_{1.61{\mu}m}$ anomaly 기법 및 NDSI를 활용하여 적설 탐지를 수행하였다. 본 연구에서 산출한 Snow Cover 자료와 Visible Infrared Imaging Radiometer(VIIRS) Snow Cover 자료를 활용해 간접 검증을 수행한 결과, Probability of Detection(POD)는 99.95%, False Alarm Ratio(FAR)는 16.63 %로 나타났다. Himawari-8 Advanced Himawari Imager(AHI) RGB 영상을 추가로 활용해 정성적 검증 또한 수행하였으며 수행 결과, VIIRS Snow Cover가 미탐지한 영역과 본 연구가 오탐지한 영역이 혼합되어 나타났다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.13-18
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• 1999

Land cover map of 30 arc-second grid by NOAA AVHRR data for the whole Asia was produced by the authors as the project of the Asian Association on Remote Sensing(AARS). Land cover change monitoring of continental scale by satellite data needs preprocessing to remove undesirable factors due to noises, atmosphere, or the effect by solar zenith angle. The paper describes the method to remove these factors. The most important thing for better mapping/monitoring in the future is the accumulation of ground truth data by many land cover related researchers. The project of the development of Global Land Cover Ground Truth Database(GLCGT-DB) is proposed.

• 한국안전학회지
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• 제25권4호
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• pp.1-6
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• 2010

Wind power system is composed by 3 major parts, rotor blade, nacelle and tower. Especially, the nacelle cover has an important role to prevent the component of nacelle and rotor from an extreme external circumstance. Therefore it is necessary to analyze and evaluate the stress distribution and deformation for them in the design level. There are two major points in nacelle cover analysis. The one is nacelle cover itself and the other is cover support structure. According to GL specification, this study shows the result that CFRP nacelle cover of wind turbine satisfies the strength and deformation through numerical analysis using the commercial finite element analysis program.