On the variability of the LAI of homogeneous covers with respect to the surface size and application

International Journal of Remote Sensing

Volumn 24, Issue 10, 2003, Pages 2017-2035

  Raffy, M ^a   Soudani, K ^b   Trautmann, J ^c  

^a Faculté de Médecine   (France)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

^c CEREG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; VEGETATION;

LEAF AREA INDEX (LAI);

REMOTE SENSING;

ALGORITHM; FOREST; LEAF AREA INDEX; NUMERICAL METHOD; SOIL SURFACE; SPATIAL VARIATION; VEGETATION INDEX;

EID: 0038782851     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160210154867     Document Type: Article

References (14)

1. ANDRIEU, B., and BARET, F., 1993, Indirect method of estimating crop structure from optical measurements. In Crop Structure and Light Microclimate: Characterization and Applications, edited by C. Varlet-Grancher, R. Bonhomme, H. Sinoquet, Sciences Update (Paris: INRA Editions), pp. 285-322.
2. ASRAR, G., FUCHS, M., KANEMASU, E. T., and HATFIELD, J. L., 1984, Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 76, 300-306.
3. DUFRÊNE, E., and BRÉDA, N., 1995, Estimation of deciduous forest leaf area index using direct and indirect methods. Oecologia, 104, 156-162.
4. GOEL, N. S., and QIN, W., 1994, Influence of canopy architecture on relationships between various vegetation indices and LAI and FPAR: a computer simulation. Remote Sensing of Environment, 10, 309-347.
5. HAPKE, B., 1993, Theory of Reflectance and Emittance Spectroscopy (Cambridge: Cambridge University Press).
6. NIZINSKY, J. J., and SAUGIER, B., 1988, A model of leaf budding and development for a mature Quercus forest. Journal of Applied Ecology, 25, 643-655.
7. PRICE, J., 1992, Estimating vegetation amount from visible and near infrared reflectances. Remote Sensing of Environment, 14, 29-34.
8. RAFFY, M., 1994, The role of spatial resolution in quantification problems. Spatialization method. International Journal of Remote Sensing, 15, 2381-2392.
9. RICHARDSON, A. J., and WIEGAND, C. L., 1977, Distinguishing vegetation from soil background information. Photogrammetric Engineering and Remote Sensing, 43, 1541-1552.
10. SABATIER, C., 1989, Production de taillis châtaignier (Castanea sativa, Mill) en relation avec les caractéristiques stationnelles. Thèse de doctorat, Université de Paris-Sud, France.
11. WALTER, J.-M., and GRÉGOIRE, C., 1996. Spatial heterogeneity of a Scots pine canopy. An assessment by hemispherical photographs. Canadian Journal of Forest Research, 26, 1610-1619.
12. WARREN WILSON, J., 1959, Analysis of spatial distribution of foliage by two-dimensional point quadrats. New Physiologist, 58, 92-101.
13. WARREN WILSON, J., 1960, Inclined point quadrats. New Phytologist, 59, 1-8.
14. WARREN WILSON, J., 1963, Estimation of foliage denseness and foliage angle by inclined point quadrat. Australian Journal of Botany, 11, 95-105.