Hyperspectral vegetation indices and their relationships with rice agronomics variables

Jingfeng Huang; Fumin Wang; Xiuzhen Wang; Yanlin Tang; Renchao Wang

doi:10.1117/12.505099

22 December 2003 Hyperspectral vegetation indices and their relationships with rice agronomics variables

Jingfeng Huang, Fumin Wang, Xiuzhen Wang, Yanlin Tang, Renchao Wang

Proceedings Volume 5153, Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture; (2003) https://doi.org/10.1117/12.505099
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The Relationships between Narrow Band Normalized Vegetation Index and Rice Agronomics Variables are reported in this paper. The data for this study comes from ground-level hyperspectral reflectance measurements of rice at different stage of 2002 growing period. Reflectance was measured in discrete narrow bands between 350 and 2500 nm. Observed rice agronomics variables included wet biomass, leaf area index. Narrow band normalized difference vegetation index (NBNDVI) involving all possible two-band combinations of discrete channels was tested. Special narrow band lambda (λ₁) versus lambda (λ₂) plots of R² values illustrates the most effective wavelength combinations (λ₁ and λ₂) and band-width (Δλ₁ and Δλ₂) for predicting rice agronomics variables at different development stage. The best of the NBNDVI models explained 53% to 83% variability rice agronomics variables at different development stage. A strong relationship with rice agronomics variables is located in red-edge, 700 nm to 750 nm, the longer portion of red, 650 nm to 700 nm, moisture-sensitive NIR, 950 nm to 1000 nm, longer portion of the blue band, 450 nm to 500 nm, longer portion of the green, 550 nm to 600 nm, the intermediate portion of SWIR, 1600 nm to 1700 nm, and the longer portion of SWIR, 2150 nm to 2250 nm.

Citation Download Citation

Jingfeng Huang, Fumin Wang, Xiuzhen Wang, Yanlin Tang, and Renchao Wang "Hyperspectral vegetation indices and their relationships with rice agronomics variables", Proc. SPIE 5153, Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture, (22 December 2003); https://doi.org/10.1117/12.505099

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