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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 15, Issue 4 - Dec 1999
Volume 15, Issue 3 - Sep 1999
Volume 15, Issue 2 - Jun 1999
Volume 15, Issue 1 - Mar 1999
Selecting the target year
The Analysis Errors of Surface Water Temperature Using Landsat TM
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 1~8
The estimation technique of surface water temperature by satellite remote sensing has been applied to ocean and large lakes using AVHRR. However, the spatial resolution AVHBR is not abquate for coastal region and small lakes. Landsat 5 TM has 120 m spatial resolution, which suits better. We carried out analysis of surface water temperature in Lake Sihwa and near coastal area using Landsat 5 TM. To relate digital number to the brightness temperature, we applied Empirical, NASA, RESTEC, Quadratic methods. Comparing calculated and observed value, we obtained as follows; NASA method,
, RMSE(Root Mean Square Error)=3.5876
; RESTEC method,
; Quadratic method,
. Because Landsat TM has only one band for extracting surface temperature, it was difficult to correct for the atmospheric errors. For improving the accuracy of surface temperature detection using Landsat TM, there is a need for a method to decrease the effect of atmospheric contents.
Estimation of Daily Maximum/Minimum Temperature Distribution over the Korean Peninsula by Using Spatial Statistical Technique
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 9~20
The use of climatic information is essential in the industial society. More specialized weather servies are required to perform better industrial acivities including agriculture. Especially, crop models require daily weather data of crop growing area or cropping zones, where routine weather observations are rare. Estimates of the spatial distribution of daily climates might complement the low density of standard weather observation stations. This study was conducted to estimate the spatial distribution of daily minimum and maximum temperatures in Korean Peninsula. A topoclimatological technique was first applied to produce reasonable estimates of monthly climatic normals based on 1km
1km grid cell over study area. Harmonic analysis method was then adopted to convert the monthly climatic normals into daily climatic normals. The daily temperatures for each grid cell were derived from a spatial interpolation procedure based on inverse-distance weighting of the observed deviation from the climatic normals at the nearest 4 standard weather stations. Data collected from more than 300 automatic weather systems were then used to validate the final estimates on several dates in 1997. Final step to confirm accuracy of the estimated temperature fields was comparing the distribution pattern with the brightness temperature fields derived from NOAA/AVHRR. Results show that differences between the estimated and the observed temperatures at 20 randomly selected automatic weather systems(AWS) range from -3.
to + 2.5
in daily maximum, and from -1.8
to + 2.2
in daily minimum temperature. The estimation errors, RMSE, calculated from the data collected at about 300 AWS range from
for daily maximum/minimum temperatures.
Estimation of Cloud Liquid Watetr used by GMS-5 Observations
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 21~30
The CLW (Cloud Liquid Water) is a parameter of vital interest in both modeling and forecasting weather. In mesoscale models, the magnitude of latent heat effects corresponds to the amount of CLW, which is important in the development of a certain weather system. The goal of this study is the estimation of CLW by GMS-5 data which is compared with that of SSM/I data and GMR(Grounded Microwave Radiometer)data. First of all, we found out the relationship of cloud albedo to cloud thickness, and caculated the CLW using the result of the relationship. The CLW amount of SSM/I or GMR and that of GMS-5 were compared, respectively. The correlation coefficient was about 0.86 and RMSE was 9.23 mg/
between GMS-5 data and GMR data. And also the correlation coefficient was 0.84 and RMSE was 14.02 mg/
between GMS-5 data and SSM/I data.
Ortho-rectification of Satellite-based Linear Pushbroom-type CCD Camera Images
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 31~38
In this paper, we introduce an algorithm for the ortho-rectification of high resolution pushbroom-type satellite images. The generation of ortho-images in the ultimate level of the satellite image preprocessing which also includes systematic geocoding and precision geocoding. It is also essential for the mapping of satellite images because topotraphic maps are based on the orthographic projection. The newly developed ortho-image generation algorithm introduced in this paper is on the line of the algorithms previously developed (Shin and Lee, 1997; Shin e 1998). Various experimental results are shown in this paper. The results show that the algorithm completely eliminates the disparities in the perspectively viewed images which were caused by the terrain height. The absolute accuracy of the developed algorithm depends on the accuracy of the camera model and the digital elevation model used.
Feature Selection of Training set for Supervised Classification of Satellite Imagery
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 39~50
It is complicate and time-consuming process to classify a multi-band satellite imagery according to the application. In addition, classification rate sensitively depends on the selection of training data set and features in a supervised classification process. This paper introduced a classification network adopting a fuzzy-based
-model in order to select a training data set and to extract feature which highly contribute to an actual classification. The features used in the classification were gray-level histogram, textures, and NDVI(Normalized Difference Vegetation Index) of target imagery. Moreover, in order to minimize the errors in the classification network, the Gradient Descent method was used in the training process for the
-parameters at each code used. The trained parameters made it possible to know the connectivity of each node and to delete the void features from all the possible input features.
Satellite Remote Sensing and Earth Science -Satellite Oceanography-
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 51~60
Today, satellite remote sensing plays an important role as a advanced science and technology, and becomes a superpower tool of the study and research in various fields of Earth Science. UN proclaimed that 1998 was the year of the oceans, and WMO chose the title of 'Weather, Ocean and Human activity' as the principal subject of the day of the world meteorology in march 23, 1998, respectively. As previously announced, these two memories give the great meaning for satellite remote sensing in oceanography. Therefore, this study reviews satellite oceanography for many specialists in the fields of the ocean and fishery science. In future, satellite oceanography will be greatly used to observe, monitor and predict various phenomena associated with the oceans, in order to seek safety in a natural disaster, and menage and conserve the oceanic environments and resource.
Some Applications of SAR Imagery to the Coastal Waters of Korea
Korean Journal of Remote Sensing, volume 15, issue 1, 1999, Pages 61~71
Several physical phenomena on the sea surface are analyzed from SAR images of South Sea areas, Korea. Strong wave patterns propagating in southerly direction are seen in ERS-1 SAR image on October 11, 1994, and a wave directional spectrum is calculated from this image using the SAR modulation transfer function. RADARSAT SAR image of August 15, 1996 reveals internal waves in northern coastal waters of Cheju Island. Analysis indicates that the internal waves may have been generated by the tidal currents traveling over the shallow bottom of the stratified water in the summer during the tidal changeovers fro ebb to flood and shows patterns of trains of solitons. RADARSAT SAR image taken 3 days after the oil spill accident near Goeje Isalnd on April 3, 1997 detects distinct oil slicks from the accident area but also shows slicks near the coast caused by wind sheltering of coastal mountains and chemical-biological activities.