Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters

	Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters
	Bai, Junhua; Li, Shaokun; Wang, Keru; Shui, Xueyan; Chen, Bing
刊名	PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE
	2007
页码	750-758
关键词	cotton canopy AGB hyperspectral parameters homogeneity models
通讯作者	Bai, Junhua
英文摘要	AGB (aboveground fresh biomass) is one of the most important parameters of the crop condition monitored with remote sensing. Hyper spectral remote sensing with the fine spectrum information becomes the efficient method estimating the vegetation AGB. The research was conducted in Xinjiang, the largest cotton planting region of China. The paper analyzed the correlation between the cotton AGB and reflective spectrum and the first derivative spectrum, and the variation coefficient of the waveband reflectance. According to the analysis above, all of 23 parameters, including the hyper spectral reflectance, the first derivative spectrum, parameters and normalization vegetation indexes were established. And then the estimation models on cotton AGB of relaxing and compact canopy style were established and tested respectively. The tested results showed that F901, [ 901,502], [ 901 629], [ 901 672] among the reflective spectral parameters and D525, D956, D1019, D1751 among the first derivative spectral parameters had the homogenous effect on different cotton canopy style, and the determination coefficients of the models above all arrived at the significant level of 0.99 confidence interval. At last, the tested results of the homogeneity models for different canopies style indicated the parameters of [ 901, 502], [ 901, 629], [ 901 672] have more satisfying veracity than others, and the relative errors are as 17.0, 16.3 and 16.7% correspondingly; in contrast, the estimation veracity of the first derivative spectrum parameters of single waveband is low.
学科主题	Automation & Control Systems ; Agricultural Engineering ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic ; Remote Sensing
语种	英语
出版者	CHINA AGRICULTURAL SCIENCE & TECHNOLOGY PRESS
WOS记录号	WOS:000254292100132
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/5697]
专题	作物科学研究所_栽培生理学系
作者单位	Chinese Acad Agr Sci, Inst Crop Sci, Natl Key Facil Crop Genet Resources & Improvement, NFCRI, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Bai, Junhua,Li, Shaokun,Wang, Keru,et al. Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters[J]. PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE,2007:750-758.
APA	Bai, Junhua,Li, Shaokun,Wang, Keru,Shui, Xueyan,&Chen, Bing.(2007).Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters.PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE,750-758.
MLA	Bai, Junhua,et al."Homogeneity models estimating cotton aboveground fresh biomass of the different canopy style based on hyperspectral parameters".PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE (2007):750-758.