Estimation of leaf area index and chlorophyll for a mediterranean grassland using hyperspectral data

R. Darvishzadeh*, A. Skidmore, M. Schlerf, C. Atzberger, F. Corsi, M. Cho

*Corresponding author for this work

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The study shows that leaf area index (LAI) and canopy chlorophyll content 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 chlorophyll content. We tested the utility of univariate techniques, involving narrow band vegetation indices and the red edge inflection point, as well as multivariate calibration techniques, such as partial least squares regression. Among the various investigated models, canopy chlorophyll content was estimated with the highest accuracy (R 2 cv = 0.74, relative RMSE cv = 0.35) and LAI was estimated with intermediate accuracy (R 2 cv = 0.67). Compared with narrow band indices and red edge inflection point, partial least squares regression generally improved the estimation accuracies. The results of the study highlight the significance of using multivariate techniques such as partial least squares regression rather than univariate methods such as vegetation indices for providing enhanced estimates of heterogeneous grass canopy characteristics. To date, partial least squares regression has seldom been applied for studying heterogeneous grassland canopies. However, it can provide a useful exploratory and predictive tool for mapping and monitoring heterogeneous grasslands.

Original languageEnglish
Pages (from-to)471-478
Number of pages8
JournalThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume37
Issue numberPart B7
Publication statusPublished - 2008
Externally publishedYes
Event21st Congress of the International Society for Photogrammetry and Remote Sensing, ISPRS 2008 - Beijing, China
Duration: 3 Jul 200811 Jul 2008

Keywords

  • Hyperspectral
  • Vegetation
  • Estimation
  • Leaf Area Index
  • Chlorophyll

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