• Title/Summary/Keyword: 피복시스템

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RPC Correction of KOMPSAT-3A Satellite Image through Automatic Matching Point Extraction Using Unmanned AerialVehicle Imagery (무인항공기 영상 활용 자동 정합점 추출을 통한 KOMPSAT-3A 위성영상의 RPC 보정)

  • Park, Jueon;Kim, Taeheon;Lee, Changhui;Han, Youkyung
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.1135-1147
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    • 2021
  • In order to geometrically correct high-resolution satellite imagery, the sensor modeling process that restores the geometric relationship between the satellite sensor and the ground surface at the image acquisition time is required. In general, high-resolution satellites provide RPC (Rational Polynomial Coefficient) information, but the vendor-provided RPC includes geometric distortion caused by the position and orientation of the satellite sensor. GCP (Ground Control Point) is generally used to correct the RPC errors. The representative method of acquiring GCP is field survey to obtain accurate ground coordinates. However, it is difficult to find the GCP in the satellite image due to the quality of the image, land cover change, relief displacement, etc. By using image maps acquired from various sensors as reference data, it is possible to automate the collection of GCP through the image matching algorithm. In this study, the RPC of KOMPSAT-3A satellite image was corrected through the extracted matching point using the UAV (Unmanned Aerial Vehichle) imagery. We propose a pre-porocessing method for the extraction of matching points between the UAV imagery and KOMPSAT-3A satellite image. To this end, the characteristics of matching points extracted by independently applying the SURF (Speeded-Up Robust Features) and the phase correlation, which are representative feature-based matching method and area-based matching method, respectively, were compared. The RPC adjustment parameters were calculated using the matching points extracted through each algorithm. In order to verify the performance and usability of the proposed method, it was compared with the GCP-based RPC correction result. The GCP-based method showed an improvement of correction accuracy by 2.14 pixels for the sample and 5.43 pixelsfor the line compared to the vendor-provided RPC. In the proposed method using SURF and phase correlation methods, the accuracy of sample was improved by 0.83 pixels and 1.49 pixels, and that of line wasimproved by 4.81 pixels and 5.19 pixels, respectively, compared to the vendor-provided RPC. Through the experimental results, the proposed method using the UAV imagery presented the possibility as an alternative to the GCP-based method for the RPC correction.

Analysis of Relationship between the Spatial Characteristics of the Elderly Population Distribution and Heat Wave based on GIS - focused on Changwon City - (GIS 기반 노인인구 분포지역의 공간적 특성과 폭염의 관계 분석 - 창원시를 대상으로 -)

  • SONG, Bong-Geun;PARK, Kyung-Hun;KIM, Gyeong-Ah;KIM, Seoung-Hyeon;Park, Geon-Ung;MUN, Han-Sol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.68-84
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    • 2020
  • This study analyzed the relationship between spatial characteristics and heat waves in the distribution area of the elderly population in Changwon, Gyeongsangnam-do. For analysis, the Statistics Census data, the Ministry of Environment land cover, Landsat 8 surface temperature, and the Meteorological Agency's heat wave days data were used. The spatial characteristics of the distribution of the elderly population was classified into 5 types through K-mean cluster analysis considering the land use types. The characteristics of the elderly population by spatial type were higher in the urbanized type(cluster-3), but the proportion of the elderly population was higher in the agricultural and forest area types(cluster-1, cluster-2). In the characteristics of the surface temperature and the heat wave days, the surface temperature was the highest in the urban area, but heat wave days were the highest in the rural area. As a result of analyzing the heat wave characteristics according to the spatial type of the distribution area of elderly population, cluster-2 with the largest area in agricultural areas was highest at 15.95 days, and cluster-3 with a large area in urbanized types was the lowest at 9.41 days and 9.18 days. In other words, the elderly population living in rural areas is more exposed to heat waves than the elderly population living in urban areas, and the damage is expected to increase. The results of this study could be used as basic data to prepare various policy measures for effective management and prevention of vulnerable areas in summer.

Estimation of Potential Evapotranspiration using LAI (LAI를 고려한 잠재증발산량 추정)

  • Kim, Joo-Hun;Kim, Kyung-Tak
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.4
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    • pp.1-13
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    • 2005
  • In the process of a hydrology circulation, evapotranspiration is considered a very important factor to build a plan for the development of water resources and to operate water resources system. This study purposes to estimate daily potential evapotranspiration quantity in consideration of energy factors of the surface by using spatial information such as Landsat TM (ETM+) data, DEM and Landcover. Kyounan-cheon, Han River is selected as a target area, and landcover is divided by vegetation and non-vegetation covered area. Penman-Monteith equation which considers leaf-area index is used to estimate potential evapotranspiration quantity of vegetation covered area. The combination method (energy burget and aerodynamic method) is used in non-vegetation covered area. Among the input data for estimating potential evapotranspiration, NDVI, SR and Albedo is formed by Landsat, TM and ETM+ from 1986 through 2002. ground heat flux is estimated by using NDVI distribution map, LAI distribution map is drawn by using SR distribution map. The result of estimation shows that the average potential evapotranspiration in the whole basin is about 1.8-3.2mm/day per each cell. THe results of estimating potential evapotranspiration quantity by each landcover are as follows; water surface 3.6-4.9mm/day, city 1.4-3.1mm/day, bareland 1.4-3.5mm/day, grassland 1.7-3.7mm/day, forest 1.7-3.0mm/day and farmland 1.8-3.6mm/day. The potential evapotranspiration quantity is underestimated in comparison with observed evaporation data by evaporation pan, but it is considered that it has physical propriety.

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Chitosan Nanoparticle System for Improving Blood Circulation (혈행개선을 위한 키토산 나노입자화)

  • Lee, Ji-Soo;Yoon, Hyun-Sook;Kim, Eun Suh;Nam, Hee Sop;Lee, Hyeon Gyu
    • Korean Journal of Food Science and Technology
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    • v.48 no.2
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    • pp.153-158
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    • 2016
  • The principal objective of this study was to produce a chitosan nanoparticle (NP) system for improving blood circulation. Chitosan NPs were prepared using fucoidan and $poly-{\gamma}-glutamic$ acid (PGA), denoted as CS/Fu and CS/Fu/PGA NPs, respectively. As the chitosan concentration was increased, the activated partial thromboplastin time (APTT) of the NPs significantly increased (p<0.05). When the concentration of fucoidan and ${\gamma}-PGA$ was 5-20 and $1-10{\mu}g/mL$, respectively, the size of the CS/Fu and CS/Fu/PGA NPs was approximately 200 and 100 nm, respectively. With an increase in the fucoidan and PGA concentration, the APTT of CS/Fu and CS/Fu/PGA NPs significantly increased (p<0.05). These results suggest that CS/Fu and CS/Fu/PGA NPs could be used as a potent NP system for improving blood circulation.

Comparison of ASTER Satellite and Ground-Based Surface Temperature Measurements for Urban Heat Island Studies (도시열섬연구를 위한 ASTER 위성영상과 지표면의 표면온도 비교)

  • Song, Bong-Geun;Park, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.3
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    • pp.104-124
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    • 2017
  • This study aimed to validate the ASTER surface temperature using field measurements over various land use types in the urban area of Changwon City, South Korea. The ASTER surface temperature was measured by collecting eight images during daytime and nighttime in June and September from 2012 to 2014, and field measurements were conducted over the same period when the satellite images were taken. The analyses showed that the surface temperature measured in the field during the daytime was higher than that of satellite imageries by $5{\sim}10^{\circ}C$, and the gap was higher in built-up areas. The calibration models of surface temperature showed a 60% explanatory power in areas other than parks, indicating that the models are reliable. During nighttime, except for the summer month of August, ASTER surface temperature was determined to be approximately $2^{\circ}C$ higher in contrast to daytime.

Enhanced Method for Environmental Benefit via Application of Low Impact Development (LID) Technique in Tram Design (트램 설계시 LID 기법 적용을 통한 환경편익 증대 방안)

  • Gu, Su-Hwan;Lee, Yunhee;Oa, Seong-Wook
    • Journal of the Korean Society for Railway
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    • v.19 no.6
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    • pp.826-832
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    • 2016
  • Reduced greenhouse gas effect induced by LID (Low Impact Development) technique application in tramway construction was quantified to increase environmental benefit as part of an overall economic assessment. In addition, by application of penetration type permeable blocks, the effect of the urban water cycle was examined as a special assessment item in the policy analysis. The carbon emission ratios of the permeable turf block, according to the turf coverage rate (100%, 50% granite, and 50% HDPE), against the concrete track construction were -184.7%, -127.3%, and -116.3%, respectively. The carbon emission ratios of permeable blocks with granite and HDPE were 30.1% and 52.5%. In the case of the penetration type permeable block, it was possible to store rainfall in the block until 90mm/hr of rainfall intensity (94.3% of water reserve rate); therefore, this method was effective as part of the urban water cycle system. As a result, an increased environmental benefit from LID technique application is expected in tramway construction; this needs to be considered as a policy factor in AHP analysis.

Prediction of Land-Use Change based on Urban Growth Scenario in South Korea using CLUE-s Model (도시성장 시나리오와 CLUE-s 모형을 이용한 우리나라의 토지이용 변화 예측)

  • LEE, Yong-Gwan;CHO, Young-Hyun;KIM, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.75-88
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    • 2016
  • In this study, we used the CLUE-s model to predict the future land-use change based on the urban growth scenario in South Korea. The land-use maps of six classes (water, urban, rice paddy, upland crop, forest, and grass) for the year 2008 were obtained from the Ministry of Environment (MOE), and the land-use data for 5-year intervals between 1980 and 2010 were obtained from the Water Resources Management Information System (WAMIS), South Korea. For predicting the future land-use change, the MOE environmental conservation value assessment map (ECVAM) was considered for identifying the development-restricted areas, and various driving factors as location characteristics were prepared for the model. The predicted results were verified by comparing them with the land-use statistics of urban areas in each province for the year 2008. The prediction error rates were 9.47% in Gyeonggi, 9.96% in Gangwon, 10.63% in Chungbuk, 7.53% in Chungnam, 9.48% in Jeonbuk, 6.92% in Jeonnam, 2.50% in Gyeongbuk, and 8.09% in Gyeongnam. The sources of error might come from the gaps between the development of political decisions in reality with spatio-temporal variation and the mathematical model for urban growth rate in CLUE-s model for future scenarios. Based on the land-use scenario in 2008, the land-use predictions for the year 2100 showed that the urban area increased by 28.24%, and the rice paddy, upland crop, and forest areas decreased by 8.27, 6.72, and 1.66%, respectively, in South Korea.

Deep Learning-based Hyperspectral Image Classification with Application to Environmental Geographic Information Systems (딥러닝 기반의 초분광영상 분류를 사용한 환경공간정보시스템 활용)

  • Song, Ahram;Kim, Yongil
    • Korean Journal of Remote Sensing
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    • v.33 no.6_2
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    • pp.1061-1073
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    • 2017
  • In this study, images were classified using convolutional neural network (CNN) - a deep learning technique - to investigate the feasibility of information production through a combination of artificial intelligence and spatial data. CNN determines kernel attributes based on a classification criterion and extracts information from feature maps to classify each pixel. In this study, a CNN network was constructed to classify materials with similar spectral characteristics and attribute information; this is difficult to achieve by conventional image processing techniques. A Compact Airborne Spectrographic Imager(CASI) and an Airborne Imaging Spectrometer for Application (AISA) were used on the following three study sites to test this method: Site 1, Site 2, and Site 3. Site 1 and Site 2 were agricultural lands covered in various crops,such as potato, onion, and rice. Site 3 included different buildings,such as single and joint residential facilities. Results indicated that the classification of crop species at Site 1 and Site 2 using this method yielded accuracies of 96% and 99%, respectively. At Site 3, the designation of buildings according to their purpose yielded an accuracy of 96%. Using a combination of existing land cover maps and spatial data, we propose a thematic environmental map that provides seasonal crop types and facilitates the creation of a land cover map.

Development and Application of Diffusion Wave-based Distributed Runoff Model (확산파에 기초한 분포형 유출모형의 개발 및 적용)

  • Lee, Min-Ho;Yoo, Dong-Hoon
    • Journal of Korea Water Resources Association
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    • v.44 no.7
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    • pp.553-563
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    • 2011
  • According to the improvement of computer's performance, the development of Geographic Information System (GIS), and the activation of offering information, a distributed model for analyzing runoff has been studied a lot in recently years. The distribution model is a theoretical and physical model computing runoff as making target basin subdivided parted. In the distributed model developed by this study, the volume of runoff at the surface flow is calculated on the basis of the parameter determined by landcover data and a two-dimensional diffusion wave equation. Most of existing runoff models compute velocity and discharge of flow by applying Manning-Strickler's mean velocity equation and Manning's roughness coefficient. Manning's roughness coefficient is not matched with dimension and ambiguous at computation; Nevertheless, it is widely used in because of its convenience for use. In order to improve those problems, this study developed the runoff model by applying not only Manning-Strickler's equation but also Chezy's mean velocity equation. Furthermore, this study introduced a power law of exponential friction factor expressed by the function of roughness height. The distributed model developed in this study is applied to 6 events of fan-shape basin, oblong shape test basin and Anseongcheon basin as real field conditions. As a result the model is found to be excellent in comparison with the exiting runoff models using for practical engineering application.

Development of Theoretical Formulae for Calculation of Required Torque in Roll-up Type Ventilation System (권취식 창개폐시스템의 소요토크모델 개발)

  • 박규식;이기명;정석현
    • Journal of Bio-Environment Control
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    • v.6 no.3
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    • pp.133-142
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    • 1997
  • Most of the greenhouses employ the roll-up type ventilation control system. Torque required to roll-up and down might be theoretically expressed with the weight times radius of the ventilation roll; however, measured torques were two times of the theoretically estimated values. As the window film of roll-up vent is used over the periods of time, the warping and crumpling of the material caused the increase of the torque in addition to a span deformation. Therefore, this study was performed to develop an empirical torque formulae to present basic torque data and to assist the development of roll-up type ventilation control system. The empirically adjusted rolling radius (r+a) exponentially increased at the maximum span deformation. The coefficient of rolling resistance (Cr) was about 0.7―0.8 depending upon the wrinkle status of film material.

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