Paper Info
Title
Application Of Wavelet Transform On Hyperspectral Reflectance For Soybean Lai Estimation In The Songnen Plain, China
Abstract
In this study, we present spectral measurements of soybean LAI and their estimation from reflectance spectra data in Songnen Plain. Soybean canopy reflectance and its derivative were subsequently used in a linear regression analysis against LAI on one by one spectral reflectance. It was found that determination coefficient for LAI was high in blue, red and near infrared spectral region, and it was low in green spectral region, however LAI obtained its high determination coefficient in blue, green and red edge spectral region, especially in red edge region. Regression models were established based upon spectral vegetation indices and wavelet energy coefficient. It was found that wavelet transforms is an effective method for hyperspectral reflectance variables extraction to retrieve LAI, and the best multivariable regressions R-2 up to 0.90 for LAI. Further studies are still needed to refine the methods for determining and estimating corn bio-physical/chemical parameters or other physiological parameters of different vegetation as well in the future.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651723
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
Field
DocType
Wavelet Transform, LAI, Hyperspectral
Vegetation,Regression analysis,Computer science,Remote sensing,Near-infrared spectroscopy,Spectral line,Red edge,Linear regression,Wavelet,Wavelet transform
Conference
Volume
Issue
ISSN
null
null
2153-6996
Citations 
PageRank 
References 
0
0.34
1
Authors
6
Name
Order
Citations
PageRank
Dongmei Lu182.46
Kaishan Song26617.79
Zongming Wang37219.71
Jia Du4124.51
Lihong Zeng501.69
Xiaochun Lei601.69