Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1514(2022)
Wavelengths Optimization and Chlorophyll Content Detection Based on PROSPECT Model
Fig. 1. Sensitivity analysis of chlorophyll content using PROSPECT model
(a): Reflectivity curves for different chlorophyll contents; (b): Sensitivity analysis of chlorophyll content
Fig. 2. The measured reflectivity spectra
(a): Measured in 2019; (b): Measured in 2020; (c): Wavelet denoised spectra in 2019;(d): Wavelet denoised spectra in 2020; (e): SNV processed spectra in 2019; (f): SNV processed spectra in 2020
Fig. 3. Sensitive band filtering results
(a): SEN-BAND, SPA-BAND; (b): BP-BAND
Fig. 4. Modeling and verification results with SPA-BAND sensitive bands in 2019 and 2020
(a): In 2019; (b): In 2020
Fig. 5. Dynamic chlorophyll distribution results based on PLSR model
(a): Field fertilization distribution; (b): Detected distribution in 2019; (c): Detected distribution in 2020
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Jun-yi ZHANG, De-hua GAO, Di SONG, Lang QIAO, Hong SUN, Min-zan LI, Li LI. Wavelengths Optimization and Chlorophyll Content Detection Based on PROSPECT Model[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1514
Category: Research Articles
Received: Mar. 25, 2021
Accepted: --
Published Online: Nov. 10, 2022
The Author Email: ZHANG Jun-yi (junyizh@cau.edu.cn)