The Application Of Remote Sensing Images In The Corn Yield Estimation

This test is based on real measurement data, combined with previous findings, the establishment of a local corn yield estimation model. In the present study, describing the estimates in the domestic and foreign remote sensing technology applied agricultural production history and current situation, clarify the content and significance of this experiment, the role of remote sensing and agricultural technology in crop yield estimation.In the trial conducted the following studies:first, the careful study of the local crop species, growth characteristics and the division of the growing region, and provides detailed basic data for the completion of the corn yield estimates. Followed by corn planting density in Daejeon, corn seed rate of a sample survey of randomly laid a number of samples and made a record. Thus color enhancement of remote sensing images, the ratio of enhancement and contrast enhancement, the purpose is to enhance the remote sensing image interpretation, interpreting results. Then using the ISODATA algorithm to a preliminary classification of the image fusion, followed by the use of supervised classification maximum likelihood classifier on the preliminary results re-classification. Finally, the establishment of normalized difference vegetation index and the yield of the best fitting function in order to achieve the estimate of corn production.The article also discusses the yield estimation techniques yield estimation in the county, described the current research progress and problems encountered. Summarized at the end of the article but also the prospect of future research directions...