A theoretical analysis of the influence of heterogeneity in chlorophyll distribution on leaf reflectance

Tree Physiology

Volumn 21, Issue 12-13, 2001, Pages 789-795

  Barton, C V M ^a  

^a CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

Author keywords

Chlorosis; LIBERTY; Modeling; Patchiness

Indexed keywords

CHLOROPHYLL; ECOLOGICAL MODELING; HETEROGENEITY; REFLECTANCE; THEORETICAL STUDY;

EID: 0034836539     PISSN: 0829318X     EISSN: None     Source Type: Journal    
DOI: 10.1093/treephys/21.12-13.789     Document Type: Conference Paper

References (17)

1. Modelling the plant physiological basis for assessing vegetation stress using remote sensing
2. Shape of the red edge as a vitality indicator for plants
3. Responses of leaf spectral reflectance to plant stress
4. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress
5. Ratio analysis of reflectance spectra (RARS) - An algorithm for the remote estimation of the concentrations of chlorophyll-a, chlorophyll-b, and carotenoids in soybean leaves
6. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine
7. A new technique for interpolating the reflectance red edge position
8. LIBERTY - Modelling the effects of leaf biochemical concentration on reflectance spectra
9. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model
10. The impact of ozone and acid mist on the spectral reflectance of young Norway spruce trees
11. Raytran: A Monte Carlo ray-tracing model to compute light scattering in three-dimensional heterogeneous media
12. Estimating canopy chlorophyll concentration from field and airborne spectra
13. Reflectance measurements of leaves for detecting visible and non-visible ozone damage to crops
14. Scots pines after exposure to elevated ozone and carbon dioxide probed by reflectance spectra and chlorophyll a fluorescence transients
15. Optical properties of powders. Part I. Optical absorption coefficients and the absolute value of the diffuse reflectance
16. Quantitative characterisation of the vegetation red edge reflectance I. An inverted Gaussian reflectance model