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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Korean Journal of Remote Sensing
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Journal DOI :
The Korean Society of Remote Sensing
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Volume & Issues
Volume 32, Issue 4 - Aug 2016
Volume 32, Issue 3 - Jun 2016
Volume 32, Issue 2 - Apr 2016
Volume 32, Issue 1 - Feb 2016
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Estimation of nighttime aerosol optical thickness from Suomi-NPP DNB observations over small cities in Korea
Choo, Gyo-Hwang ; Jeong, Myeong-Jae ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 73~86
DOI : 10.7780/kjrs.2016.32.2.1
In this study, an algorithm to estimate Aerosol Optical Thickness (AOT) over small cities during nighttime has been developed by using the radiance from artificial light sources in small cities measured from Visible Infrared Imaging Radiometer Suite (VIIRS) sensor's Day/Night Band (DNB) aboard the Suomi-National Polar Partnership (Suomi-NPP) satellite. The algorithm is based on Beer's extinction law with the light sources from the artificial lights over small cities. AOT is retrieved for cloud-free pixels over individual cities, and cloud-screening was conducted by using the measurements from M-bands of VIIRS at infrared wavelengths. The retrieved nighttime AOT is compared with the aerosol products from MODerate resolution Imaging Spectroradiometer (MODIS) aboard Terra and Aqua satellites. As a result, the correlation coefficients over individual cities range from around 0.6 and 0.7 between the retrieved nighttime AOT and MODIS AOT with Root-Mean-Squared Difference (RMSD) ranged from 0.14 to 0.18. In addition, sensitivity tests were conducted for the factors affecting the nighttime AOT to estimate the range of uncertainty in the nighttime AOT retrievals. The results of this study indicate that it is promising to infer AOT using the DNB measaurements over small cities in Korea at night. After further development and refinement in the future, the developed retrieval algorithm is expected to produce nighttime aerosol information which is not operationally available over Korea.
Application of unmanned aerial image application red tide monitoring on the aquaculture fields in the coastal waters of the South Sea, Korea
Oh, Seung-Yeol ; Kim, Dae-Hyun ; Yoon, Hong-Joo ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 87~96
DOI : 10.7780/kjrs.2016.32.2.2
Red tide, causes aquaculture industry the damages in Korea every summer, was usually detected by using satellite, aquaculture information was difficult to detect by using satellite. Therefore, we suggests the method for detecting the red tide using the coastal observation and the product from the unmanned aerial Vehicle. As a result, we obtained the high resolution unmanned aerial Vehicle images, detected the red tide by using the unsupervised classification from the true color images and the simple algorithm from the RGB color images. Compared the previous color images, unmanned aerial Vehicle images were clearly classified the ocean color, we were able to identify the red tide distribution in sea surface. These methods were determined to accurately monitor the red tide distribution on the aquaculture fields in the coastal waters where is established the aquaculture.
Retrieval of Depolarization ratio using Sunphotometer data and Comparison with LIDAR Depolarization ratio
Kim, Kwanchul ; Choi, Sungchul ; Noh, Youngmin ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 97~104
DOI : 10.7780/kjrs.2016.32.2.3
We present linear particle depolarization ratio at 440, 675, 870, and 1020 nm retrieved from measurements with an AERONET sun/sky radiometer at Osaka, Japan. The retrieved data were compared with lidar derived linear particle depolarization ratio at 532 nm at the same site. We find good agreement between linear particle depolarization ratios derived with Sun photometer and measured by lidar except for those at 440 nm. The coefficients of determination between lidar derived data and sun/sky radiometer derived data were 0.28, 0.81, 0.88, and 0.89 at 440, 675, 870, and 1020 nm, respectively. We find that the linear particle depolarization ratio derived with sun/sky radiometer varies by the mixing between Asian dust and pollution particles. As the mixing ratio of Asian dust and pollution particles is increased, the linear particle depolarization ratio values are lower than the values of pure Asian dust. It was confirmed by the value of single-scattering albedo and particle size distribution.
A Study on the Improvement of Sub-divided Land Cover Map Classification System - Based on the Land Cover Map by Ministry of Environment -
Oh, Kwan-Young ; Lee, Moung-Jin ; No, Woo-Young ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 105~118
DOI : 10.7780/kjrs.2016.32.2.4
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
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.
The KALION Automated Aerosol Type Classification and Mass Concentration Calculation Algorithm
Yeo, Huidong ; Kim, Sang-Woo ; Lee, Chulkyu ; Kim, Dukhyeon ; Kim, Byung-Gon ; Kim, Sewon ; Nam, Hyoung-Gu ; Noh, Young Min ; Park, Soojin ; Park, Chan Bong ; Seo, Kwangsuk ; Choi, Jin-Young ; Lee, Myong-In ; Lee, Eun hye ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 119~131
DOI : 10.7780/kjrs.2016.32.2.5
Descriptions are provided of the automated aerosol-type classification and mass concentration calculation algorithm for real-time data processing and aerosol products in Korea Aerosol Lidar Observation Network (KALION, http://www.kalion.kr). The KALION algorithm provides aerosol-cloud classification and three aerosol types (clean continental, dust, and polluted continental/urban pollution aerosols). It also generates vertically resolved distributions of aerosol extinction coefficient and mass concentration. An extinction-to-backscatter ratio (lidar ratio) of 63.31 sr and aerosol mass extinction efficiency of
for dust), determined from co-located sky radiometer and
mass concentration measurements in Seoul from June 2006 to December 2015, are deployed in the algorithm. To assess the robustness of the algorithm, we investigate the pollution and dust events in Seoul on 28-30 March, 2015. The aerosol-type identification, especially for dust particles, is agreed with the official Asian dust report by Korean Meteorological Administration. The lidar-derived mass concentrations also well match with
mass concentrations. Mean bias difference between
and lidar-derived mass concentrations estimated from June 2006 to December 2015 in Seoul is about
. Lidar ratio and aerosol mass extinction efficiency for each aerosol types will be developed and implemented into the KALION algorithm. More products, such as ice and water-droplet cloud discrimination, cloud base height, and boundary layer height will be produced by the KALION algorithm.
Retrieval of Depolarization ratio using Sunphotometer data and Comparison with LIDAR Depolarization ratio
Lee, Kyunghwa ; Kim, Kwanchul ; Noh, Youngmin ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 133~139
DOI : 10.7780/kjrs.2016.32.2.6
Particle depolarization ratios (DPRs) at 440, 675, 870 and 1020 nm are retrieved from AERONET sun/sky radiometer observations at Gosan and Kongju in South Korea. The retrieved results show good agreement with DPRs measured by lidar at 532 nm. High DPRs are found when Asian dust passes through at the upper atmosphere over 2 km above the Earth's surface. In case of lower atmosphere less than 2 km from the ground, DPRs are relatively low due to the small amount of dust particles and mixing of dust with air pollutants.
Application of KOMSAT-2 Imageries for Change Detection of Land use and Land Cover in the West Coasts of the Korean Peninsula
Sunwoo, Wooyeon ; Kim, Daeun ; Kang, Seokkoo ; Choi, Minha ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 141~153
DOI : 10.7780/kjrs.2016.32.2.7
Reliable assessment of Land Use and Land Cover (LULC) changes greatly improves many practical issues in hydrography, socio-geographical research such as the observation of erosion and accretion, coastal monitoring, ecological effects evaluation. Remote sensing imageries can offer the outstanding capability to monitor nature and extent of land and associated changes over time. Nowadays accurate analysis using remote sensing imageries with high spatio-temporal resolution is required for environmental monitoring. This study develops a methodology of mapping and change detection in LULC by using classified Korea Multi-Purpose Satellite-2 (KOMPSAT-2) multispectral imageries at Jeonbuk and Jeonnam provinces including protected tidal flats located in the west coasts of Korean peninsula from 2008 to 2015. The LULC maps generated from unsupervised classification were analyzed and evaluated by post-classification change detection methods. The LULC assessment in Jeonbuk and Jeonnam areas had not showed significant changes over time although developed area was gradually increased only by 1.97% and 4.34% at both areas respectively. Overall, the results of this study quantify the land cover change patterns through pixel based analysis which demonstrate the potential of multispectral KOMPSAT-2 images to provide effective and economical LULC maps in the coastal zone over time. This LULC information would be of great interest to the environmental and policy mangers for the better coastal management and political decisions.
A Multi-sensor basedVery Short-term Rainfall Forecasting using Radar and Satellite Data - A Case Study of the Busan and Gyeongnam Extreme Rainfall in August, 2014-
Jang, Sangmin ; Park, Kyungwon ; Yoon, Sunkwon ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 155~169
DOI : 10.7780/kjrs.2016.32.2.8
In this study, we developed a multi-sensor blending short-term rainfall forecasting technique using radar and satellite data during extreme rainfall occurrences in Busan and Gyeongnam region in August 2014. The Tropical Z-R relationship (
) has applied as a optimal radar Z-R relation, which is confirmed that the accuracy is improved during 20mm/h heavy rainfall. In addition, the multi-sensor blending technique has applied using radar and COMS (Communication, Ocean and Meteorological Satellite) data for quantitative precipitation estimation. The very-short-term rainfall forecasting performance was improved in 60 mm/h or more of the strong heavy rainfall events by multi-sensor blending. AWS (Automatic Weather System) and MAPLE data were used for verification of rainfall prediction accuracy. The results have ensured about 50% or more in accuracy of heavy rainfall prediction for 1-hour before rainfall prediction, which are correlations of 10-minute lead time have 0.80 to 0.53, and root mean square errors have 3.99 mm/h to 6.43 mm/h. Through this study, utilizing of multi-sensor blending techniques using radar and satellite data are possible to provide that would be more reliable very-short-term rainfall forecasting data. Further we need ongoing case studies and prediction and estimation of quantitative precipitation by multi-sensor blending is required as well as improving the satellite rainfall estimation algorithm.
Retrieval of Land SurfaceTemperature based on High Resolution Landsat 8 Satellite Data
Jee, Joon-Bum ; Kim, Bu-Yo ; Zo, Il-Sung ; Lee, Kyu-Tae ; Choi, Young-Jean ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 171~183
DOI : 10.7780/kjrs.2016.32.2.9
Land Surface Temperature (LST) retrieved from Landsat 8 measured from 2013 to 2014 and it is corrected by surface temperature observed from ground. LST maps are retrieved from Landsat 8 calculate using the linear regression function between raw Landsat 8 LST and ground surface temperature. Seasonal and annual LST maps developed an average LST from season to annual, respectively. While the higher LSTs distribute on the industrial and commercial area in urban, lower LSTs locate in surrounding rural, sea, river and high altitude mountain area over Seoul and surrounding area. In order to correct the LST, linear regression function calculate between Landsat 8 LST and ground surface temperature observed 3 Korea Meteorological Administration (KMA) synoptic stations (Seoul(ID: 108), Incheon(ID: 112) and Suwon(ID: 119)) on the Seoul and surrounding area. The slopes of regression function are 0.78 with all data and 0.88 with clear sky except 5 cloudy pixel data. And the original Landsat 8 LST have a correlation coefficient with 0.88 and Root Mean Square Error (RMSE) with
. After LST correction, the LST have correlation coefficient with 0.98 and RMSE with
and the slope of regression equation improve the 0.95. Seasonal and annual LST maps represent from urban to rural area and from commercial to industrial region clearly. As a result, the Landsat 8 LST is more similar to the real state when corrected by surface temperature observed ground.
Effect of Artificial Changes in Geographical Features on Local Wind
Kim, Do-Yong ; Kim, Jae-Jin ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 185~194
DOI : 10.7780/kjrs.2016.32.2.10
The effect of artificial changes in geographical features on local wind was analyzed at the construction site of bridge and fill-up bank in the southern part of Haui-do. Geographic Information System (GIS) data and Computational Fluid Dynamics (CFD) model were used in this study. Three-dimensional numerical topography based on the GIS data for the target area was constructed for the surface boundary input data of the CFD model. The wind observations at an Automatic Weather Station (AWS) located in Haui-do were used to set-up the model inflows. The seasonal simulations were conducted. The differences in surface wind speed between after and before artificial changes in geographical features were analyzed. The surface wind speed decreases 5 to 20% at the south-western part and below 2% of the spatial average for salt field. There was also marked the effect of artificial changes in geographical features on local wind in the westerly wind case for the target area.
Long-term variability of Total PrecipitableWater using a MODIS over Korea
Kwon, Chaeyoung ; Lee, Darae ; Lee, Kyeong-Sang ; Seo, Minji ; Seong, Noh-Hun ; Choi, Sungwon ; Jin, Donghyun ; Kim, Honghee ; Han, Kyung-Soo ;
Korean Journal of Remote Sensing, volume 32, issue 2, 2016, Pages 195~200
DOI : 10.7780/kjrs.2016.32.2.11
Water vapor leading various scale of atmospheric circulation and accounting for about 60% of the naturally occurring warming effect is important climate variables. Using the Total Precipitable Water (TPW) from Moderate Resolution Imaging Spectroradiometer (MODIS) operating on both Terra and Aqua, we study long-term Variation of TPW and define relationship among TPW and climatic parameters such as temperature and precipitation to quantitatively demonstrate the impact on climate change over East Asia focusing on the Korea peninsula. In this study, we used linear regression analysis to detect the correlation of TPW and temperature/precipitation and harmonic analysis to analyze changeable aspects of periodic characteristics. A result of analysis using linear regression analysis between TPW and climate elements, TPW shows a high determination coefficient (
) with temperature and precipitation (determination coefficient between TPW and temperature: 0.94, determination coefficient between TPW anomaly and temperature anomaly: 0.8, determination coefficient between TPW and precipitation: 0.73, determination coefficient between TPW anomaly and precipitation anomaly: 0.69). A result of harmonic analysis of TPW and precipitation of two-year to five-year cycle, amplitude contribution ratio of 3.5-year cycle are much higher and two phases are similar in 3.5-year cycle.