[Study on the nutrition of alpine meadow based on hyperspectral data].
Copyright policy )[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.
Cold Temperature, Conservation of Natural Resources, Spectrophotometry, Altitude, Spectrum Analysis, Remote Sensing Technology, Biomass, Poaceae
Cold Temperature, Conservation of Natural Resources, Spectrophotometry, Altitude, Spectrum Analysis, Remote Sensing Technology, Biomass, Poaceae
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