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논문 기본 정보

자료유형
학술저널
저자정보
Di Wang (Ministry of Agriculture of People’s Republic of China) Kyung-do Lee (Chinese Academy of Agricultural Sciences) Zhong-xin Chen (Ministry of Agriculture of People’s Republic of China) Sangil Na (Rural Development Administration) Chan-won Park (Rural Development Administration) Kyu-ho So (Rural Development Administration)
저널정보
한국토양비료학회 한국토양비료학회지 한국토양비료학회지 제51권 제3호
발행연도
2018.8
수록면
222 - 238 (17page)

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Garlic and onion are the most important vegetable crops in Korea. The accurate estimation of cultivation area for garlic and onion acreage is critical to predict the production of vegetable crops, adjust agricultural planting plan and ensure an effective supply of farm products. However, the plots cultivated with garlic and onion are very fragmentary and dispersive because the cross cropping commonly occurs in the two crops. Therefore, it is very difficult to establish the accurate identification of garlic and onion using satellite-based remotely sensed images alone. In case of tracking Hapcheon Gun, Korea as the sampling site, objective of this study was to formulate a spatial sampling scheme through combining satellite-based, unmanned aerial vehicle (UAV) remotely sensed images and the stratified sampling method for improving the estimated accuracy to cultivation area of garlic and onion. The results are shown that there was almost no classification error, when UAV remotely sensed image was used to retrieve the cultivation area of garlic and onion. The error found in the two crops classification using Rapid Eye satellite-based images, and the classification error for garlic was the larger than that of onion;. The variance for cultivation area of garlic and onion within each stratum can be significantly decreased, when the proportion of the cultivation area for two crops is accounted for one sampling unit. It was observed that the required sample size for meeting the designed extrapolation accuracy decreased with the stratification number of the sampled population. Comprehensively considering population extrapolating accuracy, sampling survey cost and rationality, 10 strata was the optimum stratification number. It was appeared that the spatial stratified sampling scheme combining satellite-based and UAV remotely sensed images had a high accuracy and stability for estimation of cultivation areas for the two crops, because both the relative error and CV of population extrapolation using this scheme was less than 10%.
#Spatial sampling #UAV #Remote sensing

목차

ABSTRACT
Introduction
Materials and Methods
Results and Discussions
Conclusions
References

참고문헌 (14)

참고문헌 신청
Chhikara, R.S., A.G. Houston, and J.C. Lundgren. 1986. Crop acreage estimation using a LANDSAT-based estimator as an auxiliary variable. IEEE Trans. Geosci. Remote Sens. 24:157-168. Cihlar, J. 2000. Land cover mapping of large area from satellite: status and research priorities. Int. J. Remote Sens. 21(6):1093-1114. Cochran, W.G. 1977. Sampling Techniques. New York: third ed. John Wiley & Sons. Cohen, Y. and M. Shoshany. 2002. A national knowledge-based crop recognition in Mediterranean environment. Int. J. Appl. Earth Obs. Geoinfor. 4:75-87. Louhaichi, M., M.M. Borman, and D.E. Johnson, 2001. Spatially located platform and aerial photography for documentation of grazing impacts on wheat. Geocarto Int. 16:65-70.

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