A simple geometrical model for analysing the spectral response of a citrus canopy using satellite images
- 1 August 1990
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 11 (8) , 1391-1403
- https://doi.org/10.1080/01431169008955101
Abstract
A simple geometrical model has been proposed for a citrus canopy. We assume the citrus orchard to be a lattice structure, with the trees positioned at its points and where the composite-scene reflectance is the sum of the reflectance of its individual components as weighted by their respective surfaces within a unit area. The model has been used to analyse the citrus spectral response obtained from Landsat-5 TM images for winter and summer, where the status of the orchard is different. The correlations between spectral and geometrical data show the influence of per cent crop cover, shadows and background in the composite scene reflectance. We conclude that the summer images could be more useful than the winter ones for parcel classification according to per cent crop cover.This publication has 14 references indexed in Scilit:
- The derivation of a simplified reflectance model for the estimation of leaf area indexRemote Sensing of Environment, 1988
- Differences in vegetation indices for simulated Landsat-5 MSS and TM, NOAA-9 AVHRR, and SPOT-1 sensor systemsRemote Sensing of Environment, 1987
- Caractérisation de formations végétales mediterranéennes à partir de données ‘Thematic Mapper’ Une étude de cas en Andalousie (Espagne)International Journal of Remote Sensing, 1987
- Soil and Sun angle interactions on partial canopy spectraInternational Journal of Remote Sensing, 1987
- Relationship of thematic mapper simulator data to leaf area index of temperate coniferous forestsRemote Sensing of Environment, 1987
- Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysisRemote Sensing of Environment, 1987
- Calibration of satellite radiometers and the comparison of vegetation indicesRemote Sensing of Environment, 1987
- Winter wheat vegetation indices calculated from combinations of seven spectral bandsRemote Sensing of Environment, 1985
- Multispectral remote sensing of vegetation amountProgress in Physical Geography: Earth and Environment, 1980
- Vegetation canopy reflectanceRemote Sensing of Environment, 1974