摘要
With the development of precision agriculture, the research that applies Remote Sensing technology, especially hyperspectral remote sensing, to realize crop management, monitoring and yield estimation, has been concerned. Nowadays, the growth-monitoring and yield-estimating methods in rice, wheat and other annual crops develop rapidly with some achievements having already been put into service. But the yield estimation research on perennial economic crops is few. Taking peren- nial citrus trees as the research object, using ASD spectrometer to collect citrus canopy spectral, this article studied and analyzed the citrus of veget＆tion index and its relationship on yield, synthetically considered the influence of the agriculture pa- rameters on crop yield, and finally constructed the citrus yield estimation model based on the spectral data and agronomic parameters. Through the Significance Test and Samples＇ Test, olutained that the model＇s fitting degree was R=0.631, F= 13.201, P〈0.01 and the error rate of estimating accuracy was controlled in the range 3%-16%, proving that the model has statistical signification and reliability. It concluded that hyperspectral acquired from citrus canopy has substantial potential for citrus yield estimation. This study is an application and exploration of Hyperspectral Remote Sensing technology in the citrus yield estimation.
与精确农业的发展，使用遥感技术的研究，特别 hyperspectral 遥感，认识到庄稼管理，监视并且收益评价，被担心了。现在，在米饭，小麦和另外的年度庄稼的监视生长、估计收益的方法与一些成就已经被放进服务很快发展。但是关于长期的经济庄稼的收益评价研究是很少。作为研究目标拿长期的柠檬树，用收集柠檬华盖的 ASD 分光计光谱，这篇文章在产量上学习了并且分析植被索引和它的关系的柠檬，综合地在庄稼产量上考虑了农业参数的影响，并且最后构造了柠檬收益评价模型基于光谱数据和农学的参数。通过意义测试和样品是测试，获得模型正在适合度，这是 R=0.631， F= 13.201， P < 0.01 并且估计精确性的错误率在范围 3%-16% 被控制，证明模型有统计含义和可靠性。它断定从柠檬华盖获得的 hyperspectral 为柠檬收益评价有实质的潜力。这研究是在柠檬收益评价的 Hyperspectral 遥感技术的一个应用程序和探索。[出版摘要]
基金
Supported by the central university basic scientific research fund(XDJK2009C006)from Ministry of Education
the National Youth Science Fund(41201436)from National Science Counci~~
