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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 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
Brightness Value Comparison Between KOMPSAT-2 Images with IKONOS/GEOEYE-1 Images
Kim, Hye-On ; Kim, Tae-Jung ; Lee, Hyuk ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 181~189
DOI : 10.7780/kjrs.2012.28.2.181
Recently, interest in potential for estimating water quality using high resolution satellite images is increasing. However, low SNR(Signal to Noise Ratio) over inland water and radiometric errors such as non-linearity of brightness value of high resolution satellite images often lead to accuracy degradation in water quality estimation. Therefore radiometric correction should be carried out to estimate water quality for high resolution satellite images. For KOMPSAT-2 images parameters for brightness value-radiance conversion are not available and precise radiometric correction is difficult. To exploit KOMPSAT-2 images for water quality monitoring, it is necessary to investigate non-linearity of brightness value and noise over inland water. In this paper, we performed brightness value comparison between KOMPSAT-2 images and IKONOS/GeoEye-1, which are known to show the linearity. We used the images obtained over the same area and on the same date for comparison. As a result, we showed that although KOMPSAT-2 images are more noisy;the trend of brightness value and pattern of noise are almost similar to reference images. The results showed that appropriate target area to minimize the impact of noise was
. Non-linearity of brightness value between KOMPSAT-2 and reference images was not observed. Therefore we could conclude that KOMPSAT-2 may be used for estimation of water quality parameters such as concentration of chlorophyll.
Automatic Geometric Calibration of KOMPSAT-2 Stereo Pair Data
Oh, Kwan-Young ; Jung, Hyung-Sup ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 191~202
DOI : 10.7780/kjrs.2012.28.2.191
A high resolution satellite imagery such as KOMPSAT-2 includes a material containing rational polynomial coefficient (RPC) for three-dimensional geopositioning. However, image geometries which are calculated from the RPC must have inevitable systematic errors. Thus, it is necessary to correct systematic errors of the RPC using several ground control points (GCPs). In this paper, we propose an efficient method for automatic correction of image geometries using tie points of a stereo pair and the Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) without GCPs. This method includes four steps: 1) tie points extraction, 2) determination of the ground coordinates of the tie points, 3) refinement of the ground coordinates using SRTM DEM, and 4) RPC adjustment model parameter estimation. We validates the performance of the proposed method using KOMPSAT-2 stereo pair. The root mean square errors (RMSE) achieved from check points (CPs) were about 3.55 m, 9.70 m and 3.58 m in X, Y;and Z directions. This means that we can automatically correct the systematic error of RPC using SRTM DEM.
Effect of the Urban Land Cover Types on the Surface Temperature: Case Study of Ilsan New City
Kim, Hyun-Ok ; Yeom, Jong-Min ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 203~214
DOI : 10.7780/kjrs.2012.28.2.203
The physical environment of urban areas covered mostly by concrete and asphalt is the main cause of the urban heat island effect, primarily becoming apparent through increased land surface temperature. This study examined the effect of different urban land cover types on the land surface temperature using MODIS, Landsat ETM+ and RapidEye satellite data. As a result, the remote sensing based land surface temperature showed a marked difference according to the land use pattern in the case study of Ilsan new city. The high-rise apartment residential districts with less building-to-land ratio and higher green area ratio revealed lower land surface temperature than the low-story single-family housing districts characterized by relatively high building-to-land ratio and low green area ratio. From the view of climate zone and land cover types, there is a strong linear correlation between the impervious land cover ratio and the land surface temperature; the land surface temperature increases as the impervious built-up areas expand. In contrast, vegetation;water and shadow areas affect the decrease of land surface temperature. There is also a negative (-) correlation between NDVI and land surface temperature but the seasonal variation of NDVI can be hardly corrected.
The Estimation of Gross Primary Productivity over North Korea Using MODIS FPAR and WRF Meteorological Data
Do, Na-Young ; Kang, Sin-Kyu ; Myeong, Soo-Jeong ; Chun, Tae-Hun ; Lee, Ji-Hye ; Lee, Chong-Bum ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 215~226
DOI : 10.7780/kjrs.2012.28.2.215
NASA MODIS GPP provides a useful tool to monitor global terrestrial vegetation productivity. Two major problems of NASA GPP in regional applications are coarse spatial resolution (
) of DAO meteorological data and cloud contamination of MODIS FPAR product. In this study, we improved the NASA GPP by using enhanced input data of high spatial resolution (3 km
3 km) WRF meteorological data and cloud-corrected FPAR over the North Korea. The improved GPP was utilized to investigate characteristics of GPP interannual variation and spatial patterns from 2000 to 2008. The GPP varied from 645 to 863
in 2000 and 2008, respectively. Mixed forest showed the highest GPP (1,076
). Compared to NASA GPP (790
);FPAR enhancement increased GPP (861) but utilization of WRF data decreased GPP (710). Enhancements of both FPAR and meteorological input resulted in GPP increase (809) and the improvement was the greatest for mixed forest regions (+10.2%). The improved GPP showed better spatial heterogeneity reflecting local topography due to high resolution WRF data. It is remarkable that the improved and NASA GPPs showed distinctly different interannual variations with each other. Our study indicates improvement of NASA GPP by enhancing input variables is necessary to monitor region-scale terrestrial vegetation productivity.
Development of Unwrapped InSAR Phase to Height Conversion Algorithm
Kim, Sang-Wan ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 227~235
DOI : 10.7780/kjrs.2012.28.2.227
The InSAR (Interferometric SAR) processing steps for DEM generation consist of the coregistration of two SAR data, interferogram generation, phase filtering, phase unwrapping, phase to height conversion, and geocoding, etc. In this study, we developed the precise algorithm for phase to height conversion, including the ambiguity method taking into account Earth ellipsoid, Schw
visch method, and the refined ambiguity method suitable for the interferometric pair with non-parallel obit. From the testing with JERS-1 orbit we found that the height error by traditional ambiguity method reaches to about 40 m during phase to height conversion. The proposed methods are very useful in generating precise InSAR DEM;especially in the case of using non-parallel InSAR pair due to unstable orbit control such as JERS-1 or intentional orbit control such as Cross-InSAR pair between ERS2 and ENVISAT satellite.
Atmospheric Correction of Arc-Rail Type GB-SAR Using Refractive Index of Air
Lee, Jae-Hee ; Kim, Kwang-Eun ; Cho, Seong-Jun ; Sung, Nak-Hoon ; Lee, Hoon-Yol ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 237~243
DOI : 10.7780/kjrs.2012.28.2.237
In this paper, an atmospheric effect of repetitive measurements of X-band (9.65 GHz) arc-rail type GB-SAR (ArcSAR) system was quantitatively analyzed. Four artificial triangular trihedral corner reflectors as stationary targets for getting stable back scattered signal during 43 hours continually. The results of the analysis showed that the phase of those stationary targets had changed maximum of 5 radian (12.4 mm) and total RMS error had was 1.62 radian (4 mm) during 65 repeated measuring time. The refractive index of air which was calculated using the temperature;humidity and pressure of atmosphere showed very close relationship with the phase difference. We could check the atmospheric correction was fulfilled by the correction of an atmospheric effect using refractive index during the selected 16 hours period showed that RMS error was dropped from 1.74 radian (4.3 mm) to 0.10 radian (0.24 mm).
Visualization of 3D Terrain Information on Smartphone using HTML5 WebGL
Kim, Kwang-Seob ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 245~253
DOI : 10.7780/kjrs.2012.28.2.245
The public and civilian demands regarding 3D geo-spatial information processing on mobile device including smartphone are increasing. But there are few actual implementations or application cases. This work is to present some results by a prototype implementation of 3D terrain information visualization function with satellite image and DEM using HTML5 WebGL, which is a web-based graphic library under the standardization process. This is a useful standard for cross-platform operation for 3D graphic rendering without other plug-in modules. As the results, in the different types of operating system or browser in a personal computer or a smartphone, it shows same rendering results, as long as they support HTML5 WebGL. As well;geo-metadata search and identification functions for data sets for 3D terrain visualization process are added in this implementation for the practical aspect.
Preliminary Study of the Tsunami Effect from the Great East Japan Earthquake using the World First Geostationary Ocean Color Imager (GOCI)
Son, Young-Baek ; Ryu, Joo-Hyung ;
Korean Journal of Remote Sensing, volume 28, issue 2, 2012, Pages 255~266
DOI : 10.7780/kjrs.2012.28.2.255
The enormous disaster (Friday nightmare) occurred at 14:46 (JST) (05:46 UTC) on 11 March 2011, officially named "the 2011 Tohoku Earthquake and Tsunami". To monitor the variations of the marine environment after the earthquake, we used chlorophyll and Rrs(555) of GOCI and MODIS ocean color satellite data during March ~ May 2011. Before the earthquake, chlorophyll and Rrs(555) were relatively low around the Sendai areas. After the earthquake;their concentration and intensity were suddenly increased along the coast and the water column was disturbed by the tsunami wave. The severe distortions influenced by the tsunami occurred at less than 30 m water depth and the variations in offshore were difficult to discern the effect of the tsunami. The disturbance by the tsunami was still remained in the terrestrial environment after one month. However the ocean environment returned to the former condition in almost two month later.