Study on Monitoring of Remote Sensing of Cotton in North of XinJiang with Hyperspectral Data
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CONTRIBUTORS:
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UNIVERSITY / COLLEGE:
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YEAR:
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2005
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PUB TYPE:
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Thesis/Dissertation
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PAGES:
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SUBJECT(S):
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cotton growth condition; spectral derivatives; vegetation index; agronomic parameter; remote sensing monitoring research;
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DISCIPLINE:
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Agricultural and Food Sciences
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HTTP:
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LANGUAGE:
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Chinese
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PUB ID:
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103-423-190
(Last edited on
2006/01/10 13:24:35 US/Mountain)
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SPONSOR(S):
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ABSTRACT:
This paper utilizes the multitemporal phase hyperspectral data of 8 cultivars of cotton in North of Xinjiang (two of them set up four different plant densities), based on multivariate statistical analysis of high hyperspectral data by using stepwise regression analysis, The regression mathematics equation has been built by using the first derivative spectrum value at 748nm wavelength(the wavelength of maximum correlation coefficient) and canopy leaf chlorophyll density or leaf nitrogen accumulate; through t...
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STATISTICS
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