文献类型： 外文期刊

作者： Lu Hui ¹ ; Han Jian-guo ¹ ; Zhang Lu-da ³ ;

作者机构： 1.China Agr Univ, Coll Anim Sci & Technol, Beijing 100094, Peoples R China

2.Chinese Acad Trop Agr Sci, Environm & Plant Protect Inst, Danzhou 511737, Peoples R China

3.China Agr Univ, Coll Sci, Beijing 100094, Peoples R China

关键词： Grasshoppers;Monitoring;Remote sensing;Hyper-spectra;Near infrared spectroscopy

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2008 年 28 卷 12 期

页码：

收录情况： SCI

摘要： Grasshopper monitoring is of great significance in protecting environment and reducing economic loss. However, how to predict grasshoppers accurately and effectively is a difficult problem for a long time. In the present paper, the importance of forecasting grasshoppers and its habitat is expounded, and the development in monitoring grasshopper populations and the common arithmetic of spectral analysis technique are illustrated. Meanwhile, the traditional methods are compared with the spectral technology. Remote sensing. has been applied in monitoring the living, growing and breeding habitats of grasshopper population, and can be used to develop a forecast model combined with GIS. The NDVI values can be analyzed throughout the remote sensing data and be used in grasshopper forecasting. Hyper-spectra remote sensing technique which can be used to monitor grasshoppers more exactly has advantages in measuring the damage degree and classifying damage areas of grasshoppers, so it can be adopted to monitor the spatial distribution dynamic of rangeland grasshopper population. Differentialsmoothing can be used to reflect the relations between the characteristic parameters of hyper-spectra and leaf area index (LAI), and indicate the intensity of grasshopper damage. The technology of near infrared reflectance spectroscopy has been employed in judging grasshopper species, examining species occurrences and monitoring hatching places by measuring humidity and nutrient of soil, and can be used to investigate and observe grasshoppers in sample research. According to this paper, it is concluded that the spectral analysis technique could be used as a quick and exact tool in monitoring and forecasting the infestation of grasshoppers, and will become an important means in such kind of research for their advantages in determining spatial orientation, information extracting and processing. With the rapid development of spectral analysis methodology, the goal of sustainable monitoring grasshoppers, can be developed in the future. First, it is needed to find the relationship between the grasshopper and its environment. Second, the new spectral technology including thermal infrared, microwave, UV detection, and laser technique will be widely practiced in grasshopper monitoring. Finally, it is obvious that the integration of all methods will drive the research into a bright direction of synthetically monitoring grasshoppers. Such approaches will greatly decrease the likelihood of grasshopper outbreaks.