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 26, Issue 6 - Dec 2010
Volume 26, Issue 5 - Oct 2010
Volume 26, Issue 4 - Aug 2010
Volume 26, Issue 3 - Jun 2010
Volume 26, Issue 2 - Apr 2010
Volume 26, Issue 1 - Feb 2010
Selecting the target year
Intercomparison of Daegwallyeong Cloud Physics Observation System (CPOS) Products and the Visibility Calculation by the FSSP Size Distribution during 2006-2008
Yang, Ha-Young ; Jeong, Jin-Yim ; Chang, Ki-Ho ; Cha, Joo-Wan ; Jung, Jae-Won ; Kim, Yoo-Chul ; Lee, Myoung-Joo ; Bae, Jin-Young ; Kang, Sun-Young ; Kim, Kum-Lan ; Choi, Young-Jean ; Choi, Chee-Young ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 65~73
To observe and analyze the characteristics of cloud and precipitation properties, the Cloud physics Observation System (CPOS) has been operated from December 2003 at Daegwallyeong (
, 842 m) in the Taebaek Mountains. The major instruments of CPOS are follows: Forward Scattering Spectrometer Probe (FSSP), Optical Particle Counter (OPC), Visibility Sensor (VS), PARSIVEL disdrometer, Microwave Radiometer (MWR), and Micro Rain Radar (MRR). The former four instruments (FSSP, OPC, visibility sensor, and PARSIVEL) are for the observation and analysis of characteristics of the ground cloud (fog) and precipitation, and the others are for the vertical cloud characteristics (http://weamod.metri.re.kr) in real time. For verification of CPOS products, the comparison between the instrumental products has been conducted: the qualitative size distributions of FSSP and OPC during the hygroscopic seeding experiments, the precipitable water vapors of MWR and radiosonde, and the rainfall rates of the PARSIVEL(or MRR) and rain gauge. Most of comparisons show a good agreement with the correlation coefficient more than 0.7. These reliable CPOS products will be useful for the cloud-related studies such as the cloud-aerosol indirect effect or cloud seeding. The visibility value is derived from the droplet size distribution of FSSP. The derived FSSP visibility shows the constant overestimation by 1.7 to 1.9 times compared with the values of two visibility sensors (SVS (Sentry Visibility Sensor) and PWD22 (Present Weather Detect 22)). We believe this bias is come from the limitation of the droplet size range (
) measured by FSSP. Further studies are needed after introducing new instruments with other ranges.
Radarsat-1 ScanSAR Quick-look Signal Processing and Demonstration Using SPECAN Algorithm
Song, Jung-Hwan ; Lee, Woo-Kyung ; Kim, Dong-Hyun ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 75~86
As the performance of the spaceborne SAR has been dramatically enhanced and demonstrated through advanced missions such as TerraSAR and LRO(Lunar Reconnaissance Orbiter), the need for highly sophisticated and efficient SAR processor is also highlighted. In Korea, the activity of SAR researches has been mainly concerned with SAR image applications and the current SAR raw data studies are mostly limited to stripmap mode cases. The first Korean spaceborne SAR is scheduled to be operational from 2010 and expected to deliver vast amount of SAR raw data acquired from multiple operational scenarios including ScanSAR mode. Hence there will be an increasing demand to implement ground processing systems that enable to analyze the acquired ScanSAR data and generate corresponding images. In this paper, we have developed an efficient ScanSAR processor that can be directly applied to spaceborne ScanSAR mode data. The SPECAN(Spectrum Analysis) algorithm is employed for this purpose and its performance is verified through RADARSAT-1 ScanSAR raw data taken over Korean peninsular. An efficient quick-look processing is carried out to produce a wide-swath SAR image and compared with the conventional RDA processing case.
Multi-temporal Landsat ETM+ Mosaic Method for Generating Land Cover Map over the Korean Peninsula
Kim, Sun-Hwa ; Kang, Sung-Jin ; Lee, Kyu-Sung ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 87~98
For generating accurate land cover map over the whole Korean Peninsula, post-mosaic classification method is desirable in large area where multiple image data sets are used. We try to derive an optimal mosaic method of multi-temporal Landsat ETM+ scenes for the land cover classification over the Korea Peninsula. Total 65 Landsat ETM+ scenes were acquired, which were taken in 2000 and 2001. To reduce radiometric difference between adjacent Landsat ETM+ scenes, we apply three relative radiometric correction methods (histogram matching, 1st-regression method referenced center image, and 1st-regression method at each Landsat ETM+ path). After the relative correction, we generated three mosaic images for three seasons of leaf-off, transplanting, leaf-on season. For comparison, three mosaic images were compared by the mean absolute difference and computer classification accuracy. The results show that the mosaic image using 1st-regression method at each path show the best correction results and highest classification accuracy. Additionally, the mosaic image acquired during leaf-on season show the higher radiance variance between adjacent images than other season.
Design and Prototype Implementation of Geo-browser Linked to Open Source-based DBMS and Middleware
Park, Yong-Jae ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 99~108
According to the recent trend on advancement of web computing technologies and diversification of spatial data types to be processed, designing and implementing of web-based applications using open sources has been regarded as one of important users-needs. In this study, a kind of geo-browser model composed of client-middleware-DBMS stack is suggested, and the prototype implementation are performed. Especially, modularization of user interfaces is contributed to increase both applicability for a certain target system and accessibility for web users. In middleware, it has functions to decrease erroneous factors on spatial data registration processes, and provides spatial data the form of OGC WxS standards. It is thought that this system is helpful to utilize as basic architecture and the related implementation model for web-based geo-spatial services and their applications.
Study of Low Back-scattering Area on the SAR Image of Waters off the Southeast Coast of Korea
Kim, Tae-Rim ; Park, Jong-Jip ; Kim, Sang-Woo ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 109~114
This paper studies the origin of low back-scattering area appeared on the SAR image taken on the coastal waters off the southeast coast of Korea on July 5, 2000. Cold waters were frequently observed during summer on this coastal waters, and quasi-simultaneously taken AVHRR and SeaWiFS images also showed cold surface waters and high concentration of chlorophyll-a, respectively. By synergetic analysis of multi-sensor satellite images, it is strongly suggested that the cold and nutrient rich upwelling waters caused the high phytoplankton density and high biological activities in the water producing natural films for low back-scattering.
Observation of Ridge-Runnel and Ripples in Mongsanpo Intertidal Flat by Satellite SAR Imagery
Jang, So-Yeong ; Han, Hyang-Sun ; Lee, Hoon-Yol ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 115~122
In this study, we analyzed ridge-runnel structure and ripple marks by using Envisat ASAR, JERS-1 SAR images and in-situ data in Mongsanpo intertidal flat located in Taean-Gun, Korea. A group of light-and-dark lines parallel to the shoreline, alternating 3-5 times, were observed in the intertidal flat in Envisat ASAR images. The patterns are related to ridge-runnel structure in the intertidal flat exposed to air. Well-drained runnels, typically with ripple marks, showed strong backscattering while runnels submerged by surface water or ridges, typically smooth with no ripple, have weak backscattering coefficients in Envisat ASAR images. In JERS-1 SAR images, however, the backscattering was very low on the entire intertidal flat and no ridge-runnel structure could be observed. The wavelengths of ripple marks measured from in-situ observations have ranges from 4 to 10 cm that satisfies the Bragg scattering condition of the 1st-order in Envisat ASAR images operating in C-band, but not in JERS-1 SAR that used L-band. Through this study using SAR images, we could successfully analyze the sedimentary conditions of intertidal flats with ridge-runnel and ripple marks which are not easily observed by optical sensors. It is expected that the results of this study with SAR images will contribute to the sedimentary research over intertidal flats.
Detection of Artificial Displacement of a Reflector by using GB-SAR Interferometry and Atmospheric Humidity Correction
Lee, Jae-Hee ; Lee, Hoon-Yol ; Cho, Seong-Jun ; Sung, Nak-Hun ; Kim, Jung-Ho ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 123~131
In this paper we applied Ground-Based Synthetic Aperture Radar(GB-SAR) interferometry to detect artificial displacement of a reflector and performed an atmospheric humidity correction to improve the accuracy. A series of GB-SAR images were obtained using a center frequency of 5.3 GHz with a range resolution of 25 cm and a azimuth resolution of
, all in full-polarization (HH, VV, VH, HV) modes. A triangular trihedral corner reflector was located 160 m away from the system, and the artificial displacements of 0-40 mm was implemented during the GB-SAR image acquisition. The result showed that the RMS error between the actual and measured displacements, averaged in all polarization data, was 1.22 mm, while the maximum error in case of the 40 mm displacement was 2.72 mm at HH-polarization. After the atmospheric correction with respect to the humidity, the RMS error was reduced to 0.52 mm. We conclude that a GB-SAR system can be used to monitor the possible displacement of artificial/natural scatterers and the stability assessment with sub-millimeter accuracy.
Prototyping of Basic Components in Catalog Services of Geo-spatial Information Linked to PostgreSQL
Han, Sun-Mook ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 133~142
As diverse web-based geos-spatial services are developed, the values of technologies and standards related to this trend are also emphasized. In this study, a prototype supporting mandatory components in OGC standard catalog service is designed and implemented, linked to PostgreSQL, open source DBMS. As the main features, XML metadata server was built with the helps of XML query functions in PostgreSQL. Given target applications with geo-spatial data sources and contents, this model can be applied, and it can be used for extension in other external web-based service systems or applications, because it supports international standard specifications.
A Comparison of InSAR Techniques for Deformation Monitoring using Multi-temporal SAR
Kim, Sang-Wan ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 143~151
We carried out studies on InSAR techniques for time-series deformation monitoring using multi-temporal SAR. The PSInSAR method using permanent scatterer is much more complicate than the SBAS because it includes many non-linear equation due to the input of wrapped phase. It is conformed the PS algorithm is very sensitive to even PSC selection. On the other hand, the SBAS method using interferogram of small baseline subset is simple but sensitive to the accuracy of unwrapped phase. The SBAS is better method for expecting not significant unwrapping error while PSInSAR is more proper method for expecting local deformation within very limited area. We used 51 ERS-1/2 SAR data during 1992-2000 over Las Vegas, USA for the comparison between PSInSAR and SBAS. Both PSInSAR and SBAS show similar ground deformation value although local deformation seems to be detected in the PSInSAR method only.
Development of Geostationary Ocean Color Imager (GOCI)
Cho, Seong-Ick ; Ahn, Yu-Hwan ; Ryu, Joo-Hyung ; Kang, Gm-Sil ; Youn, Heong-Sik ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 157~165
In June 2010, Geostationary Ocean Color Imager (GOCI), the world's first ocean color observation satellite will be launched. GOCI is planned for use in real-time monitoring of the ocean environment around Korean Peninsula by daily analysis of ocean environment measurements of chlorophyll concentration, dissolved organic matter, and suspended sediments taken eight times per day for seven years. GOCI primary data will support a fishery information service and red tide forecasting, and ocean climate change research. In this paper, the development background of GOCI, user requirements, GOCI architecture, and the GOCI on-orbit operational concept are explained.
Introduction to Image Pro-processing Subsystem of Geostationary Ocean Color Imager (GOCI)
Seo, Seok-Bae ; Lim, Hyun-Su ; Ahn, Sang-Il ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 167~173
This paper introduces Geostationary Ocean Color Imager, IMage Pre-processing Subsystem (GOCI IMPS) of Communication, Ocean, and Meteorological Satellite (COMS), and describes its functions, development states, and operational concepts. The primary and backup systems of GOCI IMPS have been installed in Korea Ocean Satellite Center (KOSC) and Satellite Operation Center (SOC) and the system are the prelaunch test phase after completing all required tests. It is expected that the GOCI data observed continuously over the Korea Peninsular in the geostationary orbit will be usefully utilized in marine environment research fields such as sea surface temperature changes or marine ecosystems.
Atmospheric and BRDF Correction Method for Geostationary Ocean Color Imagery (GOCI)
Min, Jee-Eun ; Ryu, Joo-Hyung ; Ahn, Yu-Hwan ; Palanisamy, Shanmugam ; Deschamps, Pierre-Yves ; Lee, Zhong-Ping ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 175~188
A new correction method is required for the Geostationary Ocean Color Imager (GOCI), which is the world's first ocean color observing sensor in geostationary orbit. In this paper we introduce a new method of atmospheric and the Bidirectional Reflectance Distribution Function(BRDF) correction for GOCI. The Spectral Shape Matching Method(SSMM) and the Sun Glint Correction Algorithm(SGCA) were developed for atmospheric correction, and BRDF correction was improved using Inherent Optical Property(IOP) data. Each method was applied to the Sea-Viewing Wide Field-of-view Sensor(SeaWiFS) images obtained in the Korean sea area. More accurate estimates of chlorophyll concentrations could be possible in the turbid coastal waters as well as areas severely affected by aerosols.
Development of Ocean Environmental Algorithms for Geostationary Ocean Color Imager (GOCI)
Moon, Jeong-Eon ; Ahn, Yu-Hwan ; Ryu, Joo-Hyung ; Shanmugam, Palanisamy ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 189~207
Several ocean color algorithms have been developed for GOCI (Geostationary Ocean Color Imager) using in-situ bio-optical data sets. These data sets collected around the Korean Peninsula between 1998 and 2009 include chlorophyll-a concentration (Chl-a), suspended sediment concentration (SS), absorption coefficient of dissolved organic matter (
), and remote sensing reflectance (
) obtained from 1348 points. The GOCI Chl-a algorithm was developed using a 4-band remote sensing reflectance ratio that account for the influence of suspended sediment and dissolved organic matter. The GOCI Chl-a algorithm reproduced in-situ chlorophyll concentration better than the other algorithms. In the SeaWiFS images, this algorithm reduced an average error of 46 % in chlorophyll concentration retrieved by standard chlorophyll algorithms of SeaWiFS. For the GOCI SS algorithm, a single band was used (Ahn et al., 2001) instead of a band ratio that is commonly used in chlorophyll algorithms. The GOCI
algorithm was derived from the relationship between remote sensing reflectance band ratio (
). The GOCI Chl-a fluorescence and GOCI red tide algorithms were developed by Ahn and Shanmugam (2007) and Ahn and Shanmugam (2006), respectively. If the launch of GOCI in June 2010 is successful, then the developed algorithms will be analyzed in the GOCI CAL/VAL processes, and improved by incorporating more data sets of the ocean optical properties data that will be obtained from waters around the Korean Peninsula.
Application of SeaWiFS Chlorophyll-a Ocean Color Image for estimating Sea Surface Currents from Geostationary Ocean Color Imagery (GOCI) data
Kim, Eung ; Ro, Young-Jae ; Jeon, Dong-Chull ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 209~220
One of the most difficult tasks in measuring oceanic conditions is to produce oceanic current information. In efforts to overcome the difficulties, various attempts have been carried out to estimate the speed and direction of ocean currents by utilizing sequential satellite images. In this study, we have estimated sea surface current vectors to the south of the Korean Peninsula, based on the maximum cross-correlation method by using sequential ocean color images of SeaWiFS chlorophyll-a. Comparison of surface current vectors estimated by this method with the geostrophic current vectors estimated from satellite altimeter data and in-situ ADCP measurements are good in that current speeds are underestimated by about 15% and current directions are show differences of about
compared with previous results. The technique of estimating current vectors based on maximum cross-correlation applied on sequential images of SeaWiFS is promising for the future application of GOCI data for the ocean studies.
Comparison of Estimation Methods of Primary Production of the Yellow Sea for Geostationary Ocean Color Imager (GOCI) Data
Park, Ji-Soo ; Yoo, Sin-Jae ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 221~237
To estimate marine primary production, satellite data are essential for providing much better spatial and temporal resolutions. However, primary production estimation for turbid coastal water such as the Yellow Sea still needs much improvement. Here we evaluate currently available methods of primary production estimation in the Yellow Sea. We focus on comparison of eight combinations from four chlorophyll-a algorithms and two primary production algorithms of the Yellow Sea. Estimated primary production by the eight combinations ranged from 96.5 to
in the central region of the Yellow Sea. The new chlorophyll algorithms (presently under development by Korea, China, and Japan scientists) are expected to improve the retrieval of chlorophyll-a in turbid regions compared to the standard algorithm but there are certain unresolved problems. The new algorithm for primary production (which uses adjusted physiological parameters with in-situ data) also needs further improvement.
Development the Geostationary Ocean Color Imager (GOCI) Data Processing System (GDPS)
Han, Hee-Jeong ; Ryu, Joo-Hyung ; Ahn, Yu-Hwan ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 239~249
The Geostationary Ocean Color Imager (GOCI) data-processing system (GDPS), which is a software system for satellite data processing and analysis of the first geostationary ocean color observation satellite, has been developed concurrently with the development of th satellite. The GDPS has functions to generate level 2 and 3 oceanographic analytical data, from level 1B data that comprise the total radiance information, by programming a specialized atmospheric algorithm and oceanic analytical algorithms to the software module. The GDPS will be a multiversion system not only as a standard Korea Ocean Satellite Center(KOSC) operational system, but also as a basic GOCI data-processing system for researchers and other users. Additionally, the GDPS will be used to make the GOCI images available for distribution by satellite network, to calculate the lookup table for radiometric calibration coefficients, to divide/mosaic several region images, to analyze time-series satellite data. the developed GDPS system has satisfied the user requirement to complete data production within 30 minutes. This system is expected to be able to be an excellent tool for monitoring both long-term and short-term changes of ocean environmental characteristics.
Prelaunch Study of Validation for the Geostationary Ocean Color Imager (GOCI)
Ryu, Joo-Hyung ; Moon, Jeong-Eon ; Son, Young-Baek ; Cho, Seong-Ick ; Min, Jee-Eun ; Yang, Chan-Su ; Ahn, Yu-Hwan ; Shim, Jae-Seol ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 251~262
In order to provide quantitative control of the standard products of Geostationary Ocean Color Imager (GOCI), on-board radiometric correction, atmospheric correction, and bio-optical algorithm are obtained continuously by comprehensive and consistent calibration and validation procedures. The calibration/validation for radiometric, atmospheric, and bio-optical data of GOCI uses temperature, salinity, ocean optics, fluorescence, and turbidity data sets from buoy and platform systems, and periodic oceanic environmental data. For calibration and validation of GOCI, we compared radiometric data between in-situ measurement and HyperSAS data installed in the Ieodo ocean research station, and between HyperSAS and SeaWiFS radiance. HyperSAS data were slightly different in in-situ radiance and irradiance, but they did not have spectral shift in absorption bands. Although all radiance bands measured between HyperSAS and SeaWiFS had an average 25% error, the 11% absolute error was relatively lower when atmospheric correction bands were omitted. This error is related to the SeaWiFS standard atmospheric correction process. We have to consider and improve this error rate for calibration and validation of GOCI. A reference target site around Dokdo Island was used for studying calibration and validation of GOCI. In-situ ocean- and bio-optical data were collected during August and October, 2009. Reflectance spectra around Dokdo Island showed optical characteristic of Case-1 Water. Absorption spectra of chlorophyll, suspended matter, and dissolved organic matter also showed their spectral characteristics. MODIS Aqua-derived chlorophyll-a concentration was well correlated with in-situ fluorometer value, which installed in Dokdo buoy. As we strive to solv the problems of radiometric, atmospheric, and bio-optical correction, it is important to be able to progress and improve the future quality of calibration and validation of GOCI.
Introduction of Acquisition System, Processing System and Distributing Service for Geostationary Ocean Color Imager (GOCI) Data
Yang, Chan-Su ; Bae, Sang-Soo ; Han, Hee-Jeong ; Ahn, Yu-Hwan ; Ryu, Joo-Hyung ; Han, Tai-Hyun ; Yoo, Hong-Rhyong ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 263~275
KOSC(Korea Ocean Satellite Center), the primary operational organization for GOCI(Geostationary Ocean Color Imager), was established in KORDI(Korea Ocean Research & Development Institute). For a stable distribution service of GOCI data, various systems were installed at KOSC as follows: GOCI Data Acquisition System, Image Pre-processing System, GOCI Data Processing System, GOCI Data Distribution System, Data Management System, Total Management & Control System and External Data Exchange System. KOSC distributes the GOCI data 8 times to user at 1-hour intervals during the daytime in near-real time according to the distribution policy. Finally, we introduce the KOSC website for users to search, request and download GOCI data.
Missions and User Requirements of the 2nd Geostationary Ocean Color Imager (GOCI-II)
Ahn, Yu-Hwan ; Ryu, Joo-Hyung ; Cho, Seong-Ick ; Kim, Suk-Hwan ;
Korean Journal of Remote Sensing, volume 26, issue 2, 2010, Pages 277~285
Geostationary Ocean Color Imager(GOCI-I), the world's first space-borne ocean color observation geostationary satellite, will be launched on June 2010. Development of GOCI-I took about 6 years, and its expected lifetime is about 7 years. The mission and user requirements of GOCI-II are required to be defined at this moment. Because baseline of the main mission of GOCI-II must be defined during the development time and early operational period of GOCI-I. The main difference between these missions is the global-monitoring capability of GOCI-II, which will meet the necessity of the monitoring and research on climate change in the long-term. The user requirements of GOCI-II will have higher spatial resolution,
, and 12 spectral bands to fulfill GOCI-I's user request, which could not be implemented on GOCI-I for technical reasons. A dedicated panchromatic band will be added for the nighttime observation to obtain fishery information. GOCI-II will have a new capability, supporting user-definable observation requests such as clear sky area without clouds and special-event areas, etc. This will enable higher applicability of GOCI-II products. GOCI-II will perform observations 8 times daily, the same as GOCI-I's. Additionally, daily global observation once or twice daily is planned for GOCI-II. In this paper, we present an improved development and organization structure to solve the problems that have emerged so far. The hardware design of the GOCI-II will proceed in conjunction with domestic or foreign space agencies.