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Çѱ¹¼öÀÚ¿øÇÐȸ / v.34, no.4, 2001³â, pp.391-401
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¼öÄ¡ ÁöÇüÀÎÀÚ¸¦ Ȱ¿ëÇÑ Åä¾ç¼öºÐºÐÆ÷ ¿¹Ãø
( 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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| Åä¾ç¼öºÐÀÇ °ø°£Àû ºÐÆ÷¸¦ ¿¹ÃøÇϱâ À§ÇÏ¿© ÁöÇ¥¸é °î·ü°ü·ÃÀÎÀÚ, ÁöÇüÈ帧ÀÎÀÚ, ž翡³ÊÁö º¹»çÀÎÀÚµéÀ» °è»êÇÏ¿´´Ù. GPS¿Í Åä¾ç¼öºÐÃøÁ¤±â¸¦ Ȱ¿ëÇÑ »êÁöÀ¯¿ª¿¡¼ÀÇ Åä¾ç¼öºÐÃøÁ¤Àº Åä¾ç¼öºÐÀÇ °ø°£Àû ºÐÆ÷ÀÚ·áÀÇ ±¸ÃàÀ» °¡´ÉÇÏ°Ô Çß´Ù. ÃøÁ¤µÈ Åä¾ç¼öºÐÀÚ·á¿Í Åä¾ç¼öºÐ ÃßÁ¤ÀÎÀÚ »çÀÌÀÇ »ó°ü°ü°è¸¦ ºÐ¼®ÇÏ¿´´Ù. ´ÙÁßȸ±ÍºÐ¼®À» ÅëÇÑ Åä¾ç¼öºÐ ÃßÁ¤ÀÎÀÚ¿Í Åä¾ç¼öºÐÀÇ °ø°£Àû ºÐÆ÷»óȲ¿¡ ´ëÇÑ °ËÅä´Â ¼öÄ¡°íµµ¸ðÇü(DEM)ÀÇ ºÐ¼®À» ÅëÇÑ Åä¾ç¼öºÐ ÃßÁ¤´É·ÂÀÇ °¡´É¼º°ú ÇѰ輺À» º¸¿©ÁÖ¾ú´Ù. |
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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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| Åä¾ç¼öºÐÀÇ °ø°£Àû ºÐÆ÷;Åä¾ç¼öºÐ ÃßÁ¤ÀÎÀÚ;¼öÁö°íµµ¸ðÇü;DEM; |
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Çѱ¹¼öÀÚ¿øÇÐȸ³í¹®Áý / v.34, no.4, 2001³â, pp.391-401
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1226-6280
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200111920731696)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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