Spectroscopy and Spectral Analysis, Volume. 32, Issue 10, 2780(2012)
Study on the Nutrition of Alpine Meadow Based on Hyperspectral Data
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.
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WANG Xun, LIU Shu-jie, JIA Hai-feng, CHAI Sha-tuo, DANG An-rong, LIU Xue-hua, HAO Li-zhuang, CUI Zhan-hong. Study on the Nutrition of Alpine Meadow Based on Hyperspectral Data[J]. Spectroscopy and Spectral Analysis, 2012, 32(10): 2780
Received: Apr. 17, 2012
Accepted: --
Published Online: Nov. 22, 2012
The Author Email: Xun WANG (wangxun513@163.com)