12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Retrieval of chlorophyll concentration from lea...
View graph of relations

« Back

Retrieval of chlorophyll concentration from leaf reflectance spectra using wavelet analysis.

Research output: Contribution to journalJournal article

Published

Journal publication date15/04/2008
JournalRemote Sensing of Environment
Journal number4
Volume112
Number of pages19
Pages1614-1632
Original languageEnglish

Abstract

The dynamics of foliar chlorophyll concentrations have considerable significance for plant–environment interactions, ecosystem functioning and crop growth. Hyperspectral remote sensing has a valuable role in the monitoring of such dynamics. This study focussed upon improving the accuracy of chlorophyll quantification by applying wavelet analysis to reflectance spectra. Leaf-scale radiative transfer models were used to generate very large spectral data sets with which to develop and rigorously test refinements to the approach and compare it with existing spectral indices. The results demonstrated that by decomposing leaf spectra, the resultant wavelet coefficients can be used to generate accurate predictions of chlorophyll concentration, despite wide variations in the range of other biochemical and biophysical factors that influence leaf reflectance. Wavelet analysis outperformed predictive models based on untransformed spectra and a range of spectral indices. The paper discusses the possibilities for further refining the wavelet approach and for extending the technique to the sensing of a variety of vegetation properties at a range of spatial scales.