Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Remote Sensing
Journal Basic Information
Journal DOI :
The Korean Society of Remote Sensing
Editor in Chief :
Volume & Issues
Volume 28, Issue 6 - Dec 2012
Volume 28, Issue 5 - Oct 2012
Volume 28, Issue 4 - Aug 2012
Volume 28, Issue 3 - Jun 2012
Volume 28, Issue 2 - Apr 2012
Volume 28, Issue 1 - Feb 2012
Selecting the target year
Instantaneous Monitoring of Pollen Distribution in the Atmosphere by Surface-based Lidar
Noh, Young-Min ; Mueller, Detlef ; Lee, Kwon-Ho ; Choi, Young-Jean ; Kim, Kyu-Rang ; Lee, Han-Lim ; Choi, Tae-Jin ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 1~9
DOI : 10.7780/kjrs.2012.28.1.001
The diurnal variation in pollen vertical distributions in the atmosphere was observed by a surface-based lidar remote sensing technique. Aerosol extinction coefficient and depolarization ratio at 532 nm were obtained from lidar measurements in spring (
June) 2009 at Gwangju Institute of Science & Technology (GIST) located in Gwangju, Korea (
). Unusual variations of depolarization ratio were observed for six days from
May. Depolarization ratios varied from 0.08 to 0.14 were detected at the low altitude in the morning. The altitude with those high depolarization ratios was increased up to 1.5 - 2.0 km at the time interval between 12:00 and 14:00 LT and then decreased. The temporal variations in high values of depolarization ratios from lidar measurements show good agreement in patterns with the sampled pollen concentrations measured using the Burkard trap sampler. This study demonstrates that the pollen distribution data obtained by lidar measurements can be a useful tool for investigating spatial and temporal characteristic of pollen particles.
Retrieval of Pollen Optical Depth in the Local Atmosphere by Lidar Observations
Noh, Young-Min ; Lee, Han-Lim ; Mueller, Detlef ; Lee, Kwon-Ho ; Choi, Young-Jean ; Kim, Kyu-Rang ; Choi, Tae-Jin ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 11~19
DOI : 10.7780/kjrs.2012.28.1.011
Air-borne pollen, biogenically created aerosol particle, influences Earth`s radiative balance, visibility impairment, and human health. The importance of pollens has resulted in numerous experimental studies aimed at characterizing their dispersion and transport, as well as health effects. There is, however, limited scientific information concerning the optical properties of airborne pollen particles contributing to total ambient aerosols. In this study, for the first time, optical characteristics of pollen such as aerosol backscattering coefficient, aerosol extinction coefficient, and depolarization ratio at 532 nm and their effect to the atmospheric aerosol were studied by lidar remotes sensing technique. Dual-Lidar observations were carried out at the Gwangju Institute of Science & Technology (GIST) located in Gwagnju, Korea (
) for a spring pollen event from 5 to 7 May 2009. The pollen concentration was measured at the rooftop of Gwangju Bohoon hospital where the building is located 1.0 km apart from lidar site by using Burkard trap sampler. During intensive observation period, high pollen concentration was detected as 1360, 2696, and
in 5, 6, and 7 May, and increased lidar return signal below 1.5km altitude. Pollen optical depth retrieved from depolarization ratio was 0.036, 0.021, and 0.019 in 5, 6, and 7 May, respectively. Pollen particles mainly detected in daytime resulting increased aerosol optical depth and decrease of Angstrom exponent.
Detection of Icebergs Using Full-Polarimetric RADARSAT-2 SAR Data in West Antarctica
Kim, Jin-Woo ; Kim, Duk-jin ; Kim, Seung-Hee ; Hwang, Byong-Jun ; Yackel, John ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 21~28
DOI : 10.7780/kjrs.2012.28.1.021
In this study, detection of icebergs that have various scattering characteristics around Wilkinson glacier in West Antarctica is investigated using C-band fully-polarimetric RADARSAT-2 SAR data. Various polarimetric analyses including Freeman-Durden decomposition, H/A/
decomposition, entropy (H) and anisotropy (A) method, and Wishart unsupervised classification, were applied for the RADARSAT-2 data used in this study. The polarimetric decomposition methods were successfully classified most of the iceberg, yet some iceberg with similar intensity of volume and surface scattering as sea ice were indistinguishable. Unsupervised classification with a combination of the polarimetric parameter, [1-H][1-A], gave a possibility to distinguish those unclassified iceberg.
A Prototype Implementation of Component Modules for Web-based SAR Data Processing System
Kang, Sang-Goo ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 29~38
DOI : 10.7780/kjrs.2012.28.1.029
Nowadays, most remote sensing image processing systems are on client-based ones. But in the view of information technology, a web-based system is predominant, being closely related to cloud computing and services. The web-based system in remote sensing is somewhat limited in the area of data sharing or dissemination, but it is necessary to extend. This study is to implement a web-based system and its component modules for SAR data processing. First, the previous cases dealt with both web computing and SAR information are investigated. InSAR information processing and concerned modules for a web-based system among SAR research domains are the main points in this work. It is expected that this approach contributes to the first attempt to link web computing technology such as HTML5 and satellite image processing.
Comparison of Image Fusion Methods to Merge KOMPSAT-2 Panchromatic and Multispectral Images
Oh, Kwan-Young ; Jung, Hyung-Sup ; Lee, Kwang-Jae ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 39~54
DOI : 10.7780/kjrs.2012.28.1.039
The objective of this study is to propose efficient data fusion techniques feasible to the KOMPSAT-2 satellite images. The most widely used image fusion techniques, which are the high-pass filter (HPF), the intensity-hue-saturation-based (modified IHS), the pan-sharpened, and the wavelet-based methods, was applied to four KOMPSAT - 2 satellite images having different regional and seasonal characteristics. Each fusion result was compared and analyzed in spatial and spectral features, respectively. Quality evaluation of image fusion techniques was performed in both quantitative and visual analysis. The quantitative analysis methods used for this study were the relative global dimensional error (spatial and spectral ERGAS), the spectral angle mapper index (SAM), and the image quality index (Q4). The results of quantitative and visual analysis indicate that the pan-sharpened method among the fusion methods used for this study relatively has the suitable balance between spectral and spatial information. In the case of the modified IHS method, the spatial information is well preserved, while the spectral information is distorted. And also the HPF and wavelet methods do not preserve the spectral information but the spatial information.
Comparison and Performance Validation of On-line Aerial Triangulation Algorithms for Real-time Image Georeferencing
Choi, Kyoung-Ah ; Lee, Im-Pyeong ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 55~67
DOI : 10.7780/kjrs.2012.28.1.055
Real-time image georeferencing is required to generate spatial information rapidly from the image sequences acquired by multi-sensor systems. To complement the performance of position/attitude sensors and process in real-time, we should employ on-line aerial triangulation based on a sequential estimation algorithm. In this study, we thus attempt to derive an efficient on-line aerial triangulation algorithm for real-time georeferencing of image sequences. We implemented on-line aerial triangulation using the existing Given transformation update algorithm, and a new inverse normal matrix update algorithm based on observation classification, respectively. To compare the performance of two algorithms in terms of the accuracy and processing time, we applied these algorithms to simulated airborne multi-sensory data. The experimental results indicate that the inverse normal matrix update algorithm shows 40 % higher accuracy in the estimated ground point coordinates and eight times faster processing speed comparing to the Given transformation update algorithm. Therefore, the inverse normal matrix update algorithm is more appropriate for the real-time image georeferencing.
An Adjustment of Cloud Factors for Continuity and Consistency of Insolation Estimations between GOES-9 and MTSAT-1R
Kim, In-Hwan ; Han, Kyung-Soo ; Yeom, Jong-Min ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 69~77
DOI : 10.7780/kjrs.2012.28.1.069
Surface insolation is one of the major indicators for climate research over the Earth system. For the climate research, long-term data and wide range of spatial coverage from the data observed by two or more of satellites of the same orbit are needed. It is important to improve the continuity and consistency of the derived products, such as surface insolation, from different satellites. In this study, surface insolations based on Geostationary Operational Environmental Satellite (GOES-9) and Multi-functional Transport Satellites (MTSAT-1R) were compared during overlap period using physical model of insolation to find ways to improve the consistency and continuity between two satellites through comparison of each channel data and ground observation data. The thermal infrared brightness temperature of two satellites show a relatively good agreement between two satellites : rootmean square error (RMSE)
Architecture Design for the Image Processing System of Meteorological Satellite
Kuk, Seung-Hak ; Choi, Chang-Min ; Seo, Yong-Jin ; Kim, Hyeon-Soo ; SaKong, Young-Bo ; Lee, Bong-Ju ; Jang, Jae-Dong ; Oh, Hyun-Jong ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 79~93
DOI : 10.7780/kjrs.2012.28.1.079
This paper suggests a system architecture for the advanced meteorological satellite image processing system that is developing by NMSC(National Meteorological Satellite Center). The meteorology satellite image processing system has basically the image acquisition, the image processing, the data management, and the data dissemination functionalities. However, the existing system has some problems with respect to system integration as well as maintenance to accommodate new satellites and/or the new image processing systems for them which will be developed in the near future. To cope with these problems we propose a new system architecture for the advanced meteorology satellite image processing system. To do this we select as the architectural drivers the quality attributes such as modifiability, inter-operability, extendability, reusability, and platform independency and design the architecture to achieve such quality attributes. We expect that the new approach will solve current issues such as system integration, system dependency, or data management problems and will provide easy ways to incorporate new systems and to maintain them.
Examination of Altimeter Wave Data in the Sea Around Ieodo Ocean Research Station
Kim, Tae-Rim ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 95~100
DOI : 10.7780/kjrs.2012.28.1.095
Big swell is often generated offshore and damages the coasts after travelling long distance. In order to prevent coastal damages, wave measurements should be performed offshore as well as coastal waters around Korea. However, in-situ wave measurements are difficult because of high expense of instruments and high risk of operation. Satellite wave measurements using altimeter make it possible to get wave information from the sea difficult to execute field measurements such as the center of the East Sea or exclusive territorial waters. In order to use wave information from the satellite altimeter, it is important to verify altimeter wave data with in-situ data. This paper examines significant wave height data observed by ENVISAT altimeter by comparing wave data observed at Ieodo station.
Survey of System Architectures of Meteorological Satellite Image Processing System for Building NMSC Image Processing Systems
Kuk, Seung-Hak ; Seo, Yong-Jin ; Kim, Hyeon-Soo ; SaKong, Young-Bo ; Lee, Bong-Ju ; Jang, Jae-Dong ; Oh, Hyun-Jong ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 101~116
DOI : 10.7780/kjrs.2012.28.1.101
In this paper, we have surveyed the existing architectures of the image processing systems for several meteorological satellites and identified issues which are taken into consideration to construct the advanced meteorological satellite image processing system that is being developed by NMSC(National Meteorological Satellite Center). Most of the existing systems provide the functionalities of the image acquisition, the image processing, the data management, and the data dissemination. Those systems have some common problems with respect to system integration and system maintenance. To solve these problems, NOAA, NWS and ESA suggest new system architectures to improve the existing systems. This paper introduces domestic and foreign approaches to build the satellite image processing systems and studies some issues and strategies for developing those systems.
Intertidal DEM Generation Using Satellite Radar Interferometry
Park, Jeong-Won ; Choi, Jung-Hyun ; Lee, Yoon-Kyung ; Won, Joong-Sun ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 121~128
DOI : 10.7780/kjrs.2012.28.1.121
High resolution intertidal DEM is a basic material for science research like sedimentation/erosion by ocean current, and is invaluable in a monitoring of environmental changes and practical management of coastal wetland. Since the intertidal zone changes rapidly by the inflow of fluvial debris and tide condition, remote sensing is an effective tool for observing large areas in short time. Although radar interferometry is one of the well-known techniques for generating high resolution DEM, conventional repeat-pass interferometry has difficulty on acquiring enough coherence over tidal flat due to the limited exposure time and the rapid changes in surface condition. In order to overcome these constraints, we tested the feasibility of radar interferometry using Cosmo-SkyMed tandem-like one-day data and ERS-ENVISAT cross tandem data with very short revisit period compared to the conventional repeat pass data. Small temporal baseline combined with long perpendicular baseline allowed high coherence over most of the exposed tidal flat surface in both observations. However the interferometric phases acquired from Cosmo-SkyMed data suffer from atmospheric delay and changes in soil moisture contents. The ERS-ENVISAT pair, on the other hand, provides nice phase which agree well with the real topography, because the atmospheric effect in 30-minute gap is almost same to both images so that they are cancelled out in the interferometric process. Thus, the cross interferometry with very small temporal baseline and large perpendicular baseline is one of the most reliable solutions for the intertidal DEM construction which requires very accurate mapping of the elevation.
Environmental Impact Assessment of Nuclear Power Plant Accident using Spatial Information Modeling: A Case Study of Chernobyl
Lee, Sang-Won ; Song, Ah-Ram ; Park, No-Wook ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 129~143
DOI : 10.7780/kjrs.2012.28.1.129
This paper demonstrates the effectiveness of advanced spatial modeling techniques for environmental monitoring and impact assessment through a case study of Chernobyl nuclear accident occurred in 1986. Land-cover types changed after the accident are analysed by a post classification comparison method using bi-temporal Landsat TM data acquired in 1986 and 1992 near the accident site. Spatial modeling including various kriging algorithms are also applied to analyze the relationships between Cesium concentrations in soil and thyroid cancer incidence rates in Belarus, which was greatly damaged by the accident. The change detection results clearly showed the decrease of croplands and the increase of abandoned lands, and concrete structures were newly built around the nuclear plant to prevent the spread of radioactive contamination. In Belarus, high Cesium concentrations were observed in southern areas with high thyroid cancer risk estimated by Poisson kriging. Geographically weighted regression, which could account for geographic variations of independent variables including Cesium concentrations and distances from the Chernobyl nuclear power plant, was applied to extract the relationships between the independent variables and the thyroid cancer risk. The estimated risk values showed a correlation coefficient value of 0.98 with respect to the thyroid cancer risk values, which implied that the thyroid cancer risk in Belarus was affected by the accident. In conclusion, it is expected that advanced spatial modeling techniques applied in this study would be useful for environmental impact assessment and public health research.
Estimation of Vegetation Carbon Budget in South Korea using Ecosystem Model and Spatio-temporal Environmental Information
Yoo, Seong-Jin ; Lee, Woo-Kyun ; Son, Yo-Whan ; Ito, Akihiko ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 145~157
DOI : 10.7780/kjrs.2012.28.1.145
In this study, we simulated a carbon flux model, so called Vegetation Integrated Simulator for Trace gases (VISIT) using Spatio-temporal Environmental Information, to estimate carbon budgets of vegetation ecosystem in South Korea. As results of the simulation, the model estimated that the annual-average gross primary production (GPP), net primary production (NPP) for 10 years were
, respectively. The model also estimated the vegetation ecosystems in South Korea as a net carbon sink, with a value of
during the simulation period. Comparing with the anthropogenic emission of South Korea, vegetation ecosystems offsets 3.3% of human emissions as a net carbon sink in 2007. To estimate the carbon budget more accurately, it is important to prepare reliable input datasets. And also, model parameters should be calibrated through comparing with various independent method. The result of this study, however, would be helpful for devising ecosystem management strategies that may help to mitigate global climate change.
Vulnerability Assessment for Forest Ecosystem to Climate Change Based on Spatio-temporal Information
Byun, Jung-Yeon ; Lee, Woo-Kyun ; Choi, Sung-Ho ; Oh, Su-Hyun ; Yoo, Seong-Jin ; Kwon, Tae-Sung ; Sung, Joo-Han ; Woo, Jae-Wook ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 159~169
DOI : 10.7780/kjrs.2012.28.1.159
The purpose of this study was to assess the vulnerability of forest ecosystem to climate change in South Korea using socio-environmental indicators and the results of two vegetation models named as Hydrological and Thermal Analogy Group(HyTAG), and MAPSS-Century 1(MC1). The changing frequency and direction of biome types estimated by HyTAG model was used for quantifying sensitivity and adaptive capacity of forest distribution. Similarly, the variation and changing tendency of net primary production and soil carbon storage estimated by MC1 model was used for quantifying sensitivity and adaptive capacity of forest function. As socio-environmental indicators, many statistical data such as financial autonomy rate and the number of forestry officer was prepared. All indicators were standardized, and then calculated using the vulnerability assessment equation. The period of vulnerability assessment was divided into the past(1971-2000) and the future(2021-2050). To understand what policy has a priority to climate change, distribution maps of each indicators was depicted and the vulnerability results were compared among administrative districts. Evident differences could be found in entire study area. These differences were mostly derived from regionalspecific adaptive capacity. The result and methodology of this study would be helpful for the development of decision-making supporting system and policy making in forest management with respect to climate change.
A Comparison of Machine Learning Species Distribution Methods for Habitat Analysis of the Korea Water Deer (Hydropotes inermis argyropus)
Song, Won-Kyong ; Kim, Eun-Young ;
Korean Journal of Remote Sensing, volume 28, issue 1, 2012, Pages 171~180
DOI : 10.7780/kjrs.2012.28.1.171
The field of wildlife habitat conservation research has attracted attention as integrated biodiversity management strategies. Considering the status of the species surveying data and the environmental variables in Korea, the GARP and Maxent models optimized for presence-only data could be one of the most suitable models in habitat modeling. For make sure applicability in the domestic environment we applied the machine learning species distribution model for analyzing habitats of the Korea water deer(
) in the
province. We used the
National Natural Environment Survey data and 10 environment variables by literature review for the modelling. Analysis results showed that habitats for the Korea water deer were predicted 16.3%(Maxent) and 27.1%(GARP), respectively. In terms of accuracy(training/test) the Maxent(0.85/0.69) was higher than the GARP(0.65/0.61), and the Spearman`s rank correlation coefficient result of the Maxent(