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Lee SH, Cho HK, Lee WK. 2007. Detection of the pine trees damaged by pine wilt disease using high resolution satellite and airborne optical imagery. Korean J Remote Sens 23: 409-420.
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Lee SH, Oh YG, Park NY, Lee SH, Choi JY. 2014. Extraction of paddy field in Jaeryeong, North Korea by object-oriented classification with RapidEye NDVI imagery. J Korean Soc Agric Eng 56: 55-64. (in Korean with English abstract)
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Mun IS. 2014. Expression pattern and control method of pine wilt disease. Tree Health 19: 26-34. (in Korean with English abstract)
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Na HS, Lee JS. 2014. Analysis of land cover characteristics with object-based classification method. J Korean Assoc Geogr Inf Stud 17: 121-135. (in Korean with English abstract)
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Son MH, Lee WK, Lee SH, Cho HK, Lee JH. 2006. Natural spread pattern of damaged area by pine wilt disease using geostatistical analysis. J Korean For Soc 95: 240-249. (in Korean with English abstract)
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Yun SL, Seo DJ, Lee JH, Lee CK, Kim JK. 2006. Vegetation change at the damage area of pine wilt disease. J Agric Life Sci 40: 5-12. (in Korean with English abstract)
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Choi JH, Um JS. 2011. Monitoring shoreline changes at the songdo beach, pohang, during 2003-2010, using google earth. J Environ Impact Assess 20: 257-267. (in Korean with English abstract)
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Kim EM. 2013. Extraction of the tree regions in forest areas using LIDAR data and ortho-image. J Korean Soc Geospa Inf Syst 21: 27-34. (in Korean with English abstract)
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Ham BY, Lee CY, Byun HK, Min BK. 2013. A study on detection of deforested land using aerial photographs. J Korean Soc Geospa Inf Syst 21: 11-17. (in Korean with English abstract)
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Kim CS, Lee SK, Mun IS, Kim DS, Jang KS, Byun JK. 2006. Site characteristics in the incident areas of pine wood nematode. J Korean For Soc 2006: 128-129. (in Korean)
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Kim DS, Lee SM, Chung YJ, Choi KS, Moon YS, Park CG. 2003. Emergence ecology of Japanese pine sawyer, monchamus alternatus (Coleptera: Cerambycidae), a vector of pinewood nematode, bursaphelenchus xylophilus. Korean J Appl Entomol 42: 307-313. (in Korean with English abstract)
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Kim JB, Jo MH, Kim IH, Park JH. 2002. Analysis of topography spectral characteristics for extracting pine wilt disease using IKONOS satellite image. J Korean Assoc Geogr Inf Stud 2002. (in Korean)
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Kim EN, Kim DY. 2008. An investigation of pine wilt damage by using ground remote sensing technique. J Korean Assoc Reg Geogr 14: 84-92. (in Korean with English abstract)
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Kim HO, Yeom JM. A study on object-based image analysis methods for land cover classification in agricultural areas. J Korean Assoc Geogr Inf Stud 15: 26-41. (in Korean with English abstract)
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Kim JB, Jo MH, Kim IH, Kim YK. 2003. A study on the extraction of damaged area by pine wood nematode using high resolution IKONOS satellite images and GPS. J Korean For Soc 92: 362-366. (in Korean with English abstract)
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Kim JB, Kim DY, Park NC. 2010. Development of an aerial precision forecasting techniques for the pine wilt disease damaged area based on GIS and GPS. J Korean Assoc Geogr Inf Stud 13: 28-34. (in Korean with English abstract)
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Kim MH. 2013. Radiometric resolution and its impacts on image segmentation with worldview-2 satellite imagery. Geogr J Korean 47: 37-46. (in Korean with English abstract)
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Kim SR, Lee WK, Nam K, Song Y, Yu H, Kim MI, Lee JY, Lee SH. Investigation into reflectance characteristics of trees infected by pine wilt disease. J Korean For Soc 102: 499-505. (in Korean with English abstract)
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Kim WK, Jeong HS. 1992. A study on correction of satellite imagery and accuracy enhancement of land-cover classification for GIS application. Res Geogr 19: 48-61. (in Korean with English abstract)
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Korea Forest Research Institute. 2009. Pine wilt disease of ecological characteristics research. KFRI, pp 167-193. (in Korean)
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Lee HJ, Lu JH, Kim SY. 2011. Land cover object-oriented base classification using digital aerial photo image. J Korean Soc Geosp Inf Syst 19: 105-113. (in Korean with English abstract)
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Korea Forest Research Institute. 2014. Resources characteristics and assessment by bajor species in the southern region. KFRI, pp 7-25. (in Korean)
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Korea Rural Economic Institute. 2014. Prevention pine wilt disease policy agenda. KREI, pp 2-5. (in Korean)
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Ku CY. 2000. The scale characteristics of satellite imagery with spatial resolution: focus on the landcover c1assification of coastal wetland. J Geogr 40: 1-165. (in Korean with English abstract)
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Lee JB, Eo YD, Heo J. 2007. Study on selection of optimized segmentation parameters and analysis of classification accuracy for object-oriented classification. Korean J Remote Sens 23: 521-528. (in Korean with English abstract)
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Lee JB, Lee SH, Kim ES. 2014. An analysis of spectral pattern for detecting pine wilt disease using ground-based hyperspectral camera. Korean J Remote Sens 30: 665-675. (in Korean with English abstract)
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