Technology Application |
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A PRELIMINARY STUDY OF HYPERSPECTRAL REMOTE
SENSING MODEL FOR ESTIMATION OF NITROGEN
CONCENTRATION IN POMELO FROM GUANXI |
ZHU Xiao-Ling, HUANG Zheng-Qing, GAO Jian-Yang, HUANG De-Hua |
Geological Remote Sensing Center, Fuzhou 350011, China |
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Abstract EO-1 Hyperion data is used to estimate nitrogen concentration of Guanxi pomelo in this study. Based on analyzing the data characteristics, the Hyperion preprocessing includes such means as atmospheric correction and geometric correction. Using the linear stepwise regression method, this paper established the correlation between the reflectance spectra / derivative spectra and the concentration of nitrogen on the basis of the sampling data in the field. The results show that reflectance spectra derivative of logarithm is fairly good in estimating nitrogen concentration. The absorption features around 1 003 nm, 1 245 nm, 1 336 nm and 2 264 nm are selected. The values of nitrogen concentration through estimation are quite consistent with those of field measurements. The authors have thus concluded that it is feasible and time-saving to estimate nitrogen concentration of pomelo by using hyperspectral remote sensing images.
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Keywords
Remote sensing
Image processing
Gully density
Soil erosion intensity
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Issue Date: 24 July 2009
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