지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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이 논문의 연구 히스토리 (3)
2013
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Food policy is considered as the most basic and central issue for all countries, while making efforts to keep each country’s food sovereignty and enhance food self-sufficiency. In the case of Korea where the staple food is rice, the rice yield prediction is regarded as a very important task to cope with unstable food supply at a national level. In this study, Korean paddy Rice yield Prediction Model (KRPM) developed to predict the paddy rice yield using meteorological element and MODIS NDVI. A multiple linear regression analysis was carried out by using the NDVI extracted from satellite image. Six meteorological elements include average temperature; maximum temperature; minimum temperature; rainfall; accumulated rainfall and duration of sunshine. Concerning the evaluation for the applicability of the KRPM, the accuracy assessment was carried out through correlation analysis between predicted and provided data by the National Statistical Office of paddy rice yield in 2011. The 2011 predicted yield of paddy rice by KRPM was 505 kg/10a at whole country level and 487 kg/10a by agroclimatic zones using stepwise regression while the predicted value by KOrea Statistical Information Service was 532 kg/10a. The characteristics of changes in paddy rice yield according to NDVI and other meteorological elements were well reflected by the KRPM.
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참고문헌 (14)
참고문헌 신청
/ / Korean Statistical Information Service Homepage
Allen J. D. / 1990 / A Look at the Remote Sensing Applications Program of the National Agricultural Statistics Service / Journal of Official Statistics 6 (4) : 393 ~ 409
Eidenshink J. C. / 1994 / The 1km AVHRR Global Land Data Set: First Stagesof Implementation / International Journal of Remote Sensing 15 (17) : 443 ~ 462
Ferencz Cs. / 2004 / Crop Yield Estimation by Satellite Remote Sens / International Journal of Remote Sensing 25 (20) : 4113 ~ 4149
Hong S. Y. / 2009 / A Study on Estimating Rice Yield of North Korea using MODIS NDVI
Allen J. D. / 1990 / A Look at the Remote Sensing Applications Program of the National Agricultural Statistics Service / Journal of Official Statistics 6 (4) : 393 ~ 409
Eidenshink J. C. / 1994 / The 1km AVHRR Global Land Data Set: First Stagesof Implementation / International Journal of Remote Sensing 15 (17) : 443 ~ 462
Ferencz Cs. / 2004 / Crop Yield Estimation by Satellite Remote Sens / International Journal of Remote Sensing 25 (20) : 4113 ~ 4149
Hong S. Y. / 2009 / A Study on Estimating Rice Yield of North Korea using MODIS NDVI
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