Paper
8 October 2014 The impacts of bandwidths on the estimation of leaf chlorophyll concentration using normalized difference vegetation indices
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Abstract
The aim of this work is to estimate leaf chlorophyll concentration with 6 different normalized difference vegetation indices (NDVIs) under 4 bandwidths (1, 5, 10 and 20 nm). A popular leaf radiative transfer model(i.e. PROSPECT) was used to simulate the leaf reflectance spectra from 400-800nm under varying chlorophyll concentrations. Then 6 combinations of bands sensitive to chlorophyll concentrations were chosen for the calculation of their NDVIs. Simulated spectral response functions were applied to calculate the synthesis reflectance spectra at the intervals of 5, 10 and 20 nm respectively, and then corresponding NDVIs were calculated. The change of correlation coefficients between the NDVIs and the leaf chlorophyll concentrations were examined. Results showed that some NDVIs had a good performance with increasing bandwidth, whereas response of different NDVIs to the 4 bandwidths were different generally. Our results suggested that the improvement of spectral resolution was not necessary for some NDVIs to estimate leaf chlorophyll.
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Mingliang Ma, Runhe Shi, Pudong Liu, Hong Wang, and Wei Gao "The impacts of bandwidths on the estimation of leaf chlorophyll concentration using normalized difference vegetation indices", Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 922111 (8 October 2014); https://doi.org/10.1117/12.2061290
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KEYWORDS
Reflectivity

Vegetation

Data modeling

Remote sensing

Spectroscopy

Data acquisition

Ecosystems

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