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Proceedings Paper

Investigation of crop growth condition with hyperspectral reflectance based on ground-based remote sensing
Author(s): Minzan Li; Xijie Zhang; Yane Zhang; Peng Zhao; Jianping Zhang
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Paper Abstract

Cucumber was selected as the experimental crop in greenhouse, and a spectroradiometer (ASD FieldSpec HH, 325-1075 nm measurable range with 1 nm resolution) was used to acquire hyperspectral reflectance of whole plants and leaves in growing status. The seedlings were grown in compound substrate composed of vermiculite and straw charcoal. In order to create nutrient stress to cucumber, five kinds of compound substrates were prepared with mixing vermiculite and straw charcoal in the ratios of 10:0, 8:2, 6:4, 4:6, and 2:8, respectively. Thirteen measurements were conducted in testing period continued from May to July in 2003. The correlation coefficient between hyperspectral reflectance and N-content of leaves and that between hyperspectral reflectance and growth condition of whole plants were analyzed in all wavelength bands. The results show that the hyperspectral reflectance based on ground-based remote sensing is available to predict N-content of leaves and to determine growth condition of whole plants.

Paper Details

Date Published: 20 January 2005
PDF: 8 pages
Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); doi: 10.1117/12.580649
Show Author Affiliations
Minzan Li, China Agricultural Univ. (China)
Xijie Zhang, China Agricultural Univ. (China)
Yane Zhang, China Agricultural Univ. (China)
Peng Zhao, China Agricultural Univ. (China)
Jianping Zhang, China Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 5655:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications II
Allen M. Larar; Makoto Suzuki; Qingxi Tong, Editor(s)

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