You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
29 December 2000Cereal production assessment for North Korea
Crop production assessments are extremely valuable because of their economic importance in influencing international trade and national economic policies. Associated with the outstanding problems of food supplies in the world, crop production assessments become more and more important. And because of its good time properties and accuracy, remote sensing is becoming an important method of crop production assessments. And models for the forecasting of crop yields using remote sensing satellite data are studied intensively worldwide. After reviewing the experience gained by other researchers in this field, we selected two models, an NDVI-production regression model and a biomass-estimating model, which might be suitable for the estimation of rice and maize production in Korea-north. Satellite data from 1982 to 1997 were utilized within the models to explain the variation of crop production and obtained good results.
The alert did not successfully save. Please try again later.
Zhen Yang, Changyao Wang, Qingyuan Zhang, "Cereal production assessment for North Korea," Proc. SPIE 4203, Biological Quality and Precision Agriculture II, (29 December 2000); https://doi.org/10.1117/12.411748