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Çѱ¹¼öÀÚ¿øÇÐȸ / v.34, no.4, 2001³â, pp.391-401
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( Prediction of Soil Distribution Using Digital Terrain Indices )
ÀÌÇмö;±è°æÇö;ÇÑÁö¿µ;±è»óÇö; ºÎ»ê´ëÇб³ °ø°ú´ëÇРûÁ¤°øÇÐÇùµ¿°úÁ¤;ºÎ»ê´ëÇб³ ȯ°æ±â¼ú.»ê¾÷°³¹ß¿¬±¸¼¾Å¸;ºÎ»ê´ëÇб³ °ø°ú´ëÇРȯ°æ°øÇаú;ºÎ»ê´ëÇб³ °ø°ú´ëÇРȯ°æ°øÇаú;
 
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Several curvature parameters, solar radiation parameter and topographic flow generation parameters have been summarized and calculated to predict the spatial distribution of soil moisture content. The spatial distribution of soil moisture data can be obtained using Global Positioning System(GPS) and portable soil moisture monitoring equipment, Theta-Probe. Correlation analysis has been performed between the parameters of soil moisture prediction and measured data of soil moisture. Multiple regression analysis of soil moisture prediction shows the potential capability and limitations of existing methods of digital terrain analysis
 
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.34, no.4, 2001³â, pp.391-401
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ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200111920731696)
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