Application of Wavelet Transformation in In-situ Measured Hyperspectral Data for Soybean LAI Estimation

Abstract

Abstract: Soybean canopy reflectance data collected with ASD spectroradiometers (350~1050nm) which were cultivated in water-fertilizer coupled control conditions, and chlorophyll-A and chlorophyll-B content data were collected simultaneously. First, correlation between reflectance, derivative reflectance against chl-A and chl-B were analyzed. Secondly, RVI, RARSa and PSSRb regressed against chl-A and chl-B. Finally, wavelet energy coefficients of spectral reflectance were extracted, and then those energy coefficients regress against chl-A, chl-B with different method. It was found that soybean canopy reflectance showed a negative relation with chl-A and chl-B, while it showed a positive relation with chl-A and chl-B in near infrared region. Reflectance derivative has an intimate relation with chl-A and chl-B in blue, green and red edge spectral region, and got maximum correlation coefficient in red edge region. Chlorophyll specified absorption vegetation index have intimate relation with chl-A and chl-B, with regression determination coefficient R2 greater than 0.736. Regression model established with single wavelet energy coefficient obtained and determination coefficient R2 greater than 0.76 and 0.78 for chl-A and chl-B respectively. Step wise regression with 4 and 9 wavelet energy coefficients were also done, the result showed that the relation between regression model, with 4 and 9 independents, predicted chl-A and measured chl-A with a determination coefficient R2 of 0.85 and 0.89 respectively, however, for chl-B, the model predicted chl-B and measured chl-B with a determination coefficient R2 of 0.86 and 0.90 respectively. By above analysis, it indicated that wavelet transform can be applied to in-situ collected hyperspectral data processing and model establishing with quite accurate model prediction, and in the future, wavelet transform still should be applied to hyperspectral data for other vegetation biophysical and biochemical parameters inversion.

CLC Number:

S127

Song Kaishan, Zhang Bai, Wang Zongming, Li Fang, Liu Huanjun. Application of Wavelet Transformation in In-situ Measured Hyperspectral Data for Soybean LAI Estimation[J]. Chinese Agricultural Science Bulletin, 2006, 22(9): 101-101.

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