지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
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Recently many developed countries have used satellite images for classifying cropland areas to reduce time and efforts put into field survey. Korea also has used satellite images for the same purpose since KOMPSAT-2 was successfully launched and operated in 2006, but still far way to go in order to achieve the required accuracy from the products. This study evaluated the accuracy of the calculated croplands by using the objected classification method with various satellite images including ASTER, Spot-5, Rapid eye,Quickbird-2, Geo eye-1. Also, their usability and effectiveness for the cropland survey were verified by comparing with field survey data. As results. Geo eye-1 and Rapid eye showed higher accuracy to calculate the paddy field areas while Geo eye-1 and Quickbird-2showed higher accuracy to calculate the upland field areas.
목차
등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Allen, J. D. / 1990 / A Look at the Remote Sensing Applications Program of the Nation Agricultural Statistics Service / Journal of Official Statistics 6 (4) : 393 ~ 409
Ham, J. H / 1999 / Land Cover Classification and Analysis using Remotely Sensed Images Landsat TM with SPOT Panchromatic / Proceedings of 1999 Annual Conference The Korean Society
Hong, S. Y. / 2001 / Estimation of Rice-Planted Area using Landsat TM Imagery in Dangjin-gun area / Journal of the Korean Society of Agricultural and Forest Meteorology 3 (1)
Kim, S. J. / 2010 / A Study on Knowledge based Forest Type Classification Method using KOMPSAT- Ⅱ Image / 박사 / Kyung-Il University
Li L. / 2008 / Consistency analysis on paddy rice area survey with spot and TM images under the total restraint quantity / The International Archives of the Photogrammetry, R
Ham, J. H / 1999 / Land Cover Classification and Analysis using Remotely Sensed Images Landsat TM with SPOT Panchromatic / Proceedings of 1999 Annual Conference The Korean Society
Hong, S. Y. / 2001 / Estimation of Rice-Planted Area using Landsat TM Imagery in Dangjin-gun area / Journal of the Korean Society of Agricultural and Forest Meteorology 3 (1)
Kim, S. J. / 2010 / A Study on Knowledge based Forest Type Classification Method using KOMPSAT- Ⅱ Image / 박사 / Kyung-Il University
Li L. / 2008 / Consistency analysis on paddy rice area survey with spot and TM images under the total restraint quantity / The International Archives of the Photogrammetry, R
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