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    4. °í°è Á¦Â÷ ¹Ì¹æ, °í°è ºñÁ¦Â÷ ¹Ì¹æ (¼÷Á¦ 4)

    5. 1Â÷ ½ÃÇè: 2014³â 3¿ù 28ÀÏ(±Ý) 11:00 ~ 12: 50

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    10. 2Â÷ ½ÃÇè: 2014³â 4¿ù 25ÀÏ(±Ý) 11:00 ~ 12: 50

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    14. º¤ÅÍ ´ë¼ö, º¤ÅÍ ¹ÌºÐ, °î¼±ÀÇ Á¢¼±°ú ±æÀÌ

    15. Gradient, Divergence, Curl (¼÷Á¦ 9)

    16. 3Â÷ ½ÃÇè: 2014³â 6¿ù 11ÀÏ(¼ö) 10:00~11:50  

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   Remote Sensing of the Environment - An Earth Resource Perspective (J. R. Jensen, 2000. Prentice Hall)

1. Remote Sensing of the Environment  (Korean)

2. Electromagnetic Radiation Principles (Korean)

3. History of Aerial Photography and Aerial Platforms (Korean)

4. Aerial Photography - Vantage Point, Cameras, Filters, and Film (Korean)

5. Element of Visual Image Interpretation (Korean)

6. Photogrammetry (Korean)

7. Multispectral Remote Sensing Systems (Korean)

8. Thermal Infrared Remote Sensing (Korean)

9. Active and Passive Microwave, and LIDAR Remote Sensing (Korean)

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Áß°£½ÃÇè: 2014³â 4¿ù 29ÀÏ(È­) 13:00~14:50

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10. Remote Sensing of Vegetation

11. Remote sensing of Water

12. Remote Sensing the Urban Landscape

13. Remote Sensing of Soils, Minerals, and Geomorphology

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±â¸»½ÃÇè: 2014³â 6¿ù 17ÀÏ(È­) 13:00~14:50

    PGSteamer 4.0 Tutorial

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    1. ¿ø°ÝŽ»çÇÐ ±âÃÊ °­ÀÇ

    2. ³í¹® »ç·Ê ¿¬±¸ (°Ô½ÃÆÇ)

Áö¿µÈÆ(Áö±¸¹°¸®Çаú):

Zhu and Bamler, 2010. Very High Resolution Spaceborne SAR Tomography in Urban Environment, IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 12, pp. 4296-4308. (5¿ù 12ÀÏ ¹ßÇ¥)

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Fornaro et al., 2005. Three-Dimensional Multipass SAR Focusing: Experiments With Long-Term Spaceborne Data, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 4, pp. 702-714.

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¼Û¿µÁø(Áö±¸¹°¸®Çаú):

Rudy et al., 2013. Identifying permafrost slope disturbance using multi-temporal optical satellite images and change detection techniques, Cold Regions Science and Technology, vol. 88, pp. 37-49.

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Yang and Chen, 2010. Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides, International Journal of Applied Earth Observation and Geoinformation, vol. 12, pp. 487-495. (5¿ù 12ÀÏ ¹ßÇ¥)

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¹ÚÀ̽½(Áö±¸¹°¸®Çаú):

Baer et. al., 2008. Evolution of a magma-driven earthquake swarm and triggering of the nearby Oldoinyo Lengai eruption, as resolved by InSAR, ground observations and elastic modeling, East African Rift, 2007, Earth and Planetary Science Letters, vol. 272, pp. 339-352. (5¿ù 19ÀÏ ¹ßÇ¥)

Yun et al., 2006. Constraints on magma chamber geometry at Sierra Negra Volcano, Gala¢¥pagos Islands, based on InSAR observations, Journal of Volcanology and Geothermal Research, vol. 150, pp. 232-243.

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ÁöÀ±¼ö(¿¡³ÊÁöÀÚ¿ø°øÇаú):

Chappell et al., 2013. Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia, Journal of Hydrology, vol. 493, pp. 105-114.  (6¿ù 9ÀÏ ¹ßÇ¥)

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Glenn and Carr, 2003. The use of geostatistics in relating soil moisture to RADARSAT-1 SAR data obtained over the Great Basin, Nevada, USA, Computers and Geosciences, vol. 29, pp. 577-586.

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¼Õ¿µÁø(¿¡³ÊÁöÀÚ¿ø°øÇаú):

Pour and Hashim, 2012. The application of ASTER remote sensing data to porphyry copper and epithermalgold deposits, Ore Geology Reviews, vol. 44, pp. 1-9.

Rajendran et al., 2012. ASTER detection of chromite bearing mineralized zones in Semail Ophiolite Massifs of the northern Oman Mountains: Exploration strategy, Ore Geology Reviews, vol. 44, pp. 121-135. (5¿ù 26ÀÏ ¹ßÇ¥)

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ÇѾƸ²(Áö±¸¹°¸®Çаú):

Lu et. al., 2010. Ground surface deformation patterns, magma supply, and magma storage at Okmok volcano, Alaska, from InSAR analysis: 1. Intereruption deformation, 1997-2008. Journal of Geophysical Research, vol. 115, B00B02, doi:10.1029/2009JB006969. (5¿ù 26ÀÏ ¹ßÇ¥)

Lu and Dzurisin, 2010. Ground surface deformation patterns, magma supply, and magma storage at Okmok volcano, Alaska, from InSAR analysis: 2. Coeruptive deflation, July–August 2008, Journal of Geophysical Research, vol. 115, B00B02, doi:10.1029/2009JB006970.

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±èÀç¹ü(ȯ°æÇаú):

Julien and Sobrino, 2009. The Yearly Land Cover Dynamics (YLCD) method: An analysis of global vegetation from NDVI and LST parameters, Remote Sensing of Environment, vol. 113, pp. 329-334. (6¿ù 2ÀÏ ¹ßÇ¥)

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±èÃæÈ£(Áö±¸¹°¸®Çаú):

Allen and Wald, 2009. On the Use of High-Resolution Topographic Data as a Proxy for Seismic Site Conditions (VS30), Bulletin of the Seismological Society of America, vol. 99, no. 2A, pp. 935-943. (6¿ù 2ÀÏ ¹ßÇ¥)

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¹ÚÁ¤¹¬(»ê¸²°æ¿µÇаú):

Li et al., 2013. Change and fragmentation trends of Zhanjiang mangrove forests in southern China using multi-temporal Landsat imagery (1977-2010), Estuarine, Coastal and Shelf Science, vol. 130, pp. 111-120.

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Pu et al., 2011. Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery, International Journal of Remote Sensing, vol. 32, no. 12, pp. 3285-3308. (6¿ù 9ÀÏ ¹ßÇ¥)

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¼­È¯¼®(»ê¸²°æ¿µÇаú):

Fuchs et al., 2009. Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory, Remote Sensing of Environment, vol. 113, pp. 518-531. (6¿ù 9ÀÏ ¹ßÇ¥)

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Kato et al., 2009. Capturing tree crown formation through implicit surface reconstruction using airborne lidar data, vol. 113, pp. 1148-1162.

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    3. ±â¸»½ÃÇè: 2014³â 6¿ù 16ÀÏ(¿ù) ¿ÀÈÄ 2½Ã ~ 5½Ã

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Last updated on 2014-06-17 by Prof. Hoonyol Lee.