title: [Study on the nutrition of alpine meadow based on hyperspectral data].
abstract: Remote sensing monitoring of alpine grassland nutritional status is a key factor of grassland reasonable utilization, also a difficulty for dynamic vegetation monitoring. The present paper studies the correlations between vegetation nutrition and hyperspectral data. The results showed that two band ratio models have a significant correlation with biomass, air-DM, P, CF, and CP. MAXR models have a significant correlation with most of nutrition index when selected wavebands equaled five. On the whole, the MAXR model precedes two band ratio models. Using MAXR models to estimate air-DM, P and CF can obtain higher accuracy.
authors.affiliation: Province-Ministry Co-Constructing State Key Laboratory Cultivation Base of Plateau Grazing Animal Nutrition and Ecology of Qinghai Province, Xining 810086, China. wangxun513@163.com
authors.forename: Xun
authors.initials: X
authors.lastname: Wang
authors.forename: Shu-Jie
authors.initials: SJ
authors.lastname: Liu
authors.forename: Hai-Feng
authors.initials: HF
authors.lastname: Jia
authors.forename: Sha-Tuo
authors.initials: ST
authors.lastname: Chai
authors.forename: An-Rong
authors.initials: AR
authors.lastname: Dang
authors.forename: Xue-Hua
authors.initials: XH
authors.lastname: Liu
authors.forename: Li-Zhuang
authors.initials: LZ
authors.lastname: Hao
authors.forename: Zhan-Hong
authors.initials: ZH
authors.lastname: Cui
mesh_terms: D000531:Altitude; D018533:Biomass; D003080:Cold Temperature; D003247:Conservation of Natural Resources; D006109:Poaceae / Q000254:growth & development*; D058998:Remote Sensing Technology; D013053:Spectrophotometry; D013057:Spectrum Analysis