Title: LAI and Chlorophyll Estimation for a Heterogeneous Grassland Using Hyperspectral Measurements
Authors: DARVISHZADEH RoshanakSKIDMORE AndrewSCHLERF MartinATZBERGER CLEMENTCORSI FabioCHO Moses
Citation: ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING vol. 63 p. 409-426
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2008
JRC Publication N°: JRC46368
ISSN: 0924-2716
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC46368
DOI: 10.1016/j.isprsjprs.2008.01.001
Type: Articles in Journals
Abstract: The study shows that leaf area index (LAI), leaf chlorophyll content (LCC) and canopy chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean grassland from canopy spectral reflectance measurements. Canopy spectral measurements were made in the field using a GER 3700 spectroradiometer, along with concomitant in situ measurements of LAI and LCC. We tested the utility of univariate techniques involving narrow band vegetation indices and the red edge inflection point, as well as multivariate calibration techniques, including stepwise multiple linear regression and partial least squares regression. Among the various investigated models, CCC was estimated with the highest accuracy (, ). All methods failed to estimate LCC (), while LAI was estimated with intermediate accuracy ( values ranged from 0.49 to 0.69). Compared with narrow band indices and red edge inflection point, stepwise multiple linear regression generally improved the estimation of LAI. The estimations were further improved when partial least squares regression was used. When a subset of wavelengths was analyzed, it was found that partial least squares regression had reduced the error in the retrieved parameters. The results of the study highlight the significance of multivariate techniques, such as partial least squares regression, rather than univariate methods such as vegetation indices in estimating heterogeneous grass canopy characteristics.
JRC Institute:Institute for the Protection and Security of the Citizen

Files in This Item:
There are no files associated with this item.


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