文献类型： 外文期刊

作者： Qi Ya-qin ¹ ; Duan Zhen-yu ² ; Lv Xin ¹ ;

作者机构： 1.Shihezi Univ, Coll Agr, Shihezi, Peoples R China

2.XinJiang Acad Agr & Reclamat Sci, Shihezi, Peoples R China

关键词： hyperspectral remote sensing;cotton;canopy characteristic information

期刊名称：PROCEEDINGS OF THE 2013 8TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2013)

ISSN：

年卷期： 2013 年

页码：

收录情况： SCI

摘要： This research applied the U.S. ASD Field Spec Pro VNIR 2500 High spectrometer to acquire the hyperspectral remote sensing data at different growth stages for cotton canopy, and through spectroscopic analysis of cotton canopy structure and the relationship between the spectral data. The results showed that different species, different densities, different configurations and different growing conditions of cotton canopy between the existence of obvious differences, the cotton canopy reflectance with chlorophyll content, leaf area and biomass and growth stage, the health conditions and factors such as phenology is closely related. Can be seen, the use of hyperspectral remote sensing technology fast, effective, non-contact, non-disruptive access to information on the interpretation of the cotton canopy, cotton groups predict and design the ideal of great significance, as well as cotton in Xinjiang and scientific precision irrigation fertilizer to provide the scientific basis for regulation. 2