Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4082
Title: High-spectral resolution data for determining leaf water content in 'Eucalyptus' species: leaf level experiments
Contributor(s): Kumar, Lalit (author)orcid 
Publication Date: 2007
DOI: 10.1080/10106040701204396
Handle Link: https://hdl.handle.net/1959.11/4082
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.
Publication Type: Journal Article
Source of Publication: Geocarto International, 22(1), p. 3-16
Publisher: Taylor & Francis Ltd
Place of Publication: London, UK
ISSN: 1010-6049
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 193
Views: 193
Downloads: 0
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

3
checked on Nov 26, 2018

Page view(s)

98
checked on Mar 2, 2019
Google Media

Google ScholarTM

Check

Altmetric

SCOPUSTM   
Citations

 

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.