Main content area

Soil spectral effects on 4-space vegetation discrimination

Huete, A.R., Post, D.F., Jackson, R.D.
Remote sensing of environment 1984 v.15 no.2 pp. 155
vegetation, plant density, reflectance, radiometry, satellites, remote sensing, soil properties, soil types, soil water content, particle size distribution, spectral analysis, vegetation cover, soil, multispectral imagery, image analysis, soil water, canopy, color, albedo (citrus fruit), data analysis
The influence of soil background on vegetation discrimination in four-band reflectance space was examined. Dry and wet reflectance data were obtained for 20 soils covering a wide range in spectral properties with a hand-held radiometer. Principal components analysis was used to study the distribution of soil spectra in 4-space and to define a mean soil line. Soil-specific background lines were similarly derived and used to examine the overall cloud of soil spectra in individual soil form. Reflectance data from a full-canopy wheat plot were used to compute unit vector coefficients in the greenness direction from the mean soil line and from the individual soil lines. Analysis of the mean soil line showed that it was not possible to discriminate bare soil from low vegetation densities. Greenness measurements were shown to be sensitive to both soil type and soil moisture condition. In contrast, the use of individual soil lines as a base to measure greenness minimized soil background influence and improved vegetation assessment, particularly at low green plant canopy covers.