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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 5, Issue 2 - Sep 1989
Volume 5, Issue 1 - Mar 1989
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Application of Satellite Data on Geomorphological Study of the Tidal Flats near Kum River Estuary
Korean Journal of Remote Sensing, volume 5, issue 1, 1989, Pages 1~12
The objective of this study is to develop the application techniques, such as geometrical correction, image overlapping etc., of LANDSAT Thematic Mapper image data especially useful to the geomorphological study of tidal flats. The developed processing techniques were applied to the Kum river estuary. The results of this study are as follows. 1) According to the analysis of the distribution and topographical profiles of the tidal flats, the geomorphological characteristics of the study area seem to be different depending on their location. 2) Even though the geomorphological changes were not always observable on the satellite images, several areas of undoubtful short-term deposition could be detected on the analytical map-image which compares two different situations of tidal flats. 3) Even though a further ditailed study is necessary, the distribution and dispersal patterns of suspended materials and sea surface temperature distribution patterns due to tidal and other meteorological conditions were analyzed by LANDSAT TM channel 3 and 6.
Determination of Flood Hydrograph by Remote Sensing Techniques in a Small Watershed
Korean Journal of Remote Sensing, volume 5, issue 1, 1989, Pages 13~27
In recent years satellite data have been increasingly used for the analysis of floodprone areas. This study was carried out to demonstrate the usefulness of repetitive satellite imagery in monitoring flood levels of the Pyungchang watershed. Runoff characteristics parameters were analyzed by Soil Conservation Service(SCS) Runoff Curve Number(RCN) based on Landsat imagery and Digital Terrain Model data. The RCN average within the watershed was calculated from RCN estimates for all the pixels(picture elements) and adjusted by antecedent precipitation conditions. The direct runoff hydrograph was derived from the unit hydrograph using SCS dimensionless unit hydrograph and effective rainfalls estimated by the SCS method. In comparsion of the direct runoff hydrograph with the measured rating curve their peak times differ by one hour and peak discharges differ by 5.9 percents of the discharge from each other. It was shown that repetitive satellite image could be very useful in timely estimating watershed runoffs and evaluating ever-changing surface conditions of a river basin.
Development of Satellite Image Processing Software on Mainframe Computer
Korean Journal of Remote Sensing, volume 5, issue 1, 1989, Pages 29~39
A study to develop generalized and systematically designed satellite image processing software system on mainframe computer was successfully carried out. Commercially available softwares such as LARSYS were analyzed and modified, and well known satellite data processing algorithms were implemented into comprehensive software. New algorithms were also presented and developed. The contents of developed softwere system may be divided into 8 major sections: menu and user interface, data file management, preprocessing, enhancement in monochrome image, multi-dimension image analysis, scene classification, image display/hardcopy, image handle utility software. Some additional software such as GIS and DBMS will make this software more comprehensive and generalized one for the satellite data processing.
A Study on the Improvement of the Multichannel Sea Surface Temperature(MCSST) Software for Mini-Computer System
Korean Journal of Remote Sensing, volume 5, issue 1, 1989, Pages 41~56
Improvement of the multichannel sea surface temperature(MCSST) software, which had been developed for the purpose of operating under mainframe computer system, was seeked in order to operate effectively in a mini computer system. CPU time and processing time, which is not a major factor under mainframe computer system, become a critical factor in real time image processing under mini computer system. Due to fixed kernel size(3
4) of the old MCSST software, high spatial resolution characteristics of the original image received from satellites were apparently degraded when images are transformed into a cartesian coordinate system after geometrical distortions of the image due to earth curvature are removed. CPU and processing time were reduced to 0.13 and 0.15~0.22 comparing with the old MCSST's, respectively, by applying disk block I/O and M/T queue I/O method under VAX-11/750 computer. The high resolution quality (1.1km in AVHRR) of the processed image was guaranted using 2
2 kernel size and applying moving window techniques without sacrificing CPU and processing time much.
Study on the Southern Coastal Waters of Korea by NOAA Image
Korean Journal of Remote Sensing, volume 5, issue 1, 1989, Pages 57~67
This study on the southern coastal waters of Korea has been made by analysis of NOAA image and oceanographic observation data from October 1987 to August 1988. The results obtained from the study are as follow: Horizontal distributions of water temperature in different layers in winter ranged from 6.07 to 18.62
at 0m layer, 6.02 to 18.54
at 30m layer and 7.19 to 18.69
at 50m layer. Consequently its vertical distribution showed homogeneity. Horizontal water temperature gradients were 0.28
/mile between the coastal waters and Tsushima warm waters. In summer, its horizontal distribution varied from 19.37 to 29.92
at 0m layer, 13.26 to 27.11
at 30m layer and 7.36 to 26.6
at 50m layer, and its vertical profile showed stratified structure. Vertical water temperature gradients were 0.44
/m between 30 and 50m layers. It was remarkable that distribution of southern coastal water system analysed by NOAA image coincided with relatively the oceanographic observation data but SST from NOAA image seemed to be 2-4
lower in winter and 4-6
lower in summer than the oceanographic data.