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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The crop growing conditions make accurate predictions of yield ahead of harvest time difficult. Such predictions are needed by the government to estimate, ahead of time, the amount of crop required to be imported to meet the expected domestic shortfall. Corn and soybean especially are widely cultivated throughout the world and a staple food in many regions of the world. On the other hand, the CASA (Carnegie-Ames-Stanford Approach) model is a process-based model to estimate the land plant NPP (Net Primary Productivity) based on the plant growing mechanism. In this paper, therefore, a methodology for the estimation of corn/soybean yield ahead of harvest time is developed specifically for the growing conditions particular to Iowa and Illinois. The method is based on CASA model using MODIS data, and uses Net Primary Productivity (NPP) to predict corn/soybean yield. As a result, NPP at DOY 217 (in Illinois) and DOY 241 (in Iowa) tend to have high correlation with corn/soybean yields. The corn/soybean yields of Iowa in 2013 was estimated to be 11.24/3.55 ton/ha and Illinois was estimated to be 10.09/3.06 ton/ha. Errors were 6.06/17.58% and -10.64/-7.07%, respectively, compared with the yield forecast of the USDA. Crop yield distributions in 2013 were presented to show spatial variability in the state. This leads to the conclusion that NPP changes in the crop field were well reflected crop yield in this study.
목차
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
참고문헌 (19)
참고문헌 신청
1. [학술지(정기간행물)] - 안중배 / 2010 / 수치예보모형을 이용한 역학적 규모축소 기법을 통한 농업기후지수 모사 / 한국농림기상학회지 12 (1) : 1 ~ 10
2. [기타자료] - Back, S.B. / 2011 / RDA Interrobang / Rural Development Administration, 20 : 10 ~ 11
3. [학술지(정기간행물)] - Becker-Reshef, I. / 2010 / A Generalized Regression-based Model for Forecasting Winter Wheat Yields in Kansas and Ukraine using MODIS Data / Remote Sens. Environ. 114 : 1312 ~ 1323
4. [학술지(정기간행물)] - Doraiswamy, P.C. / 2005 / Application of MODIS derived parameters for regional crop yield assessment / Remote Sens. Environ. 97 : 192 ~ 202
5. [학술지(정기간행물)] - Hong, S.Y. / 1998 / Characteristics of Spectral Reflectance for Corns and Legumes at OSMI (Ocean Scanning Multi-spectral Imager) Bands / Remote Sens. Environ. 14 (4) : 343 ~ 352
2. [기타자료] - Back, S.B. / 2011 / RDA Interrobang / Rural Development Administration, 20 : 10 ~ 11
3. [학술지(정기간행물)] - Becker-Reshef, I. / 2010 / A Generalized Regression-based Model for Forecasting Winter Wheat Yields in Kansas and Ukraine using MODIS Data / Remote Sens. Environ. 114 : 1312 ~ 1323
4. [학술지(정기간행물)] - Doraiswamy, P.C. / 2005 / Application of MODIS derived parameters for regional crop yield assessment / Remote Sens. Environ. 97 : 192 ~ 202
5. [학술지(정기간행물)] - Hong, S.Y. / 1998 / Characteristics of Spectral Reflectance for Corns and Legumes at OSMI (Ocean Scanning Multi-spectral Imager) Bands / Remote Sens. Environ. 14 (4) : 343 ~ 352
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UCI(KEPA) : I410-ECN-0101-2015-520-001448300