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High-spectral resolution data for determining leaf water content in 'Eucalyptus' species: leaf level experiments

  • Lalit Kumar

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Laboratory measurements of the spectral reflectance of six Eucalyptus species were carried out over the 400-2500 nm range using a spectroradiometer. The relationship between leaf spectral reflectance and water content was investigated to determine the best bands for predicting water content of leaves. Water availability is a critical factor in plant survival and development and water stress is one of the most common limitations of primary productivity. Estimation of water content of forests is an important component of fire modelling as it determines the likelihood and intensities of fire. For raw reflectance spectra, strong correlations were observed at 1175 nm and 1650 nm. For the first derivative of reflectance spectra, high correlations were obtained at 940 nm, 1000 nm and 2100 nm. It is suggested that the first derivative spectra is more reliable for the remote estimation of leaf water content as it is highly correlated with leaf water content and insensitive to differences in leaf structure. Statistically significant correlations were obtained for all species in the 2050-2090 nm region of the first derivative spectra, suggesting that this region could be used to develop a general index for remote estimation of water content in a mixed forest environment.
Original languageEnglish
Pages (from-to)3-16
JournalGeocarto International
Volume22
Issue number1
DOIs
Publication statusPublished - 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Photogrammetry and Remote Sensing

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