Variation in spectral response of soybeans with respect to illumination, view and canopy geometry
- 1 December 1985
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 6 (12) , 1827-1842
- https://doi.org/10.1080/01431168508948331
Abstract
Comparisons of the spectral response for incomplete (well-defined row structure) and complete (overlapping row structure) canopies indicated that there was a greater dependence on Sun and view geometry for the incomplete canopies. This effect was more pronounced for the highly absorptive red (0.6-0.7 μm) wavelength band than for the near-infrared (IR) (0.8-1.1 μm) based on relative reflectance factor changes. Red and near-IR reflectance for the incomplete canopy decreased as solar zenith angle increased for a nadir view angle until the soil between the plant rows was completely shaded. Thereafter for increasing solar zenith angle the red reflectance levelled off and the near-IR reflectance increased. A ‘hot-spot’ effect was evident for the red and near-IR reflectance factors, especially when the Sun-sensor view directions were perpendicular to the rows. The ‘hot-spot’ effect was more pronounced for the red band based on relative reflectance value changes. The effect of Sun angle was more pronounced for view angles perpendicular to the row direction. An analysis of the ratios of off-nadir- to nadir-acquired data revealed that off-nadir red band reflectance factors more closely approximated straight-down measurements for time periods away from solar noon. Near-IR and greenness responses showed a similar behaviour. Normalized difference generally approximated straight-down measurements during the middle portion of the day. An exception occurred near solar noon when sunlit bare soil was present in the scene.Keywords
This publication has 8 references indexed in Scilit:
- Optimal solar/viewing geometry for an accurate estimation of leaf area index and leaf angle distribution from bidirectional canopy reflectance dataInternational Journal of Remote Sensing, 1985
- Directional reflectance factor distributions of a cotton row cropInternational Journal of Remote Sensing, 1984
- Inversion of vegetation canopy reflectance models for estimating agronomic variables. I. Problem definition and initial results using the suits modelRemote Sensing of Environment, 1983
- Radiative transfer model for heterogeneous 3-D scenesApplied Optics, 1982
- Reflectance of a vegetation canopy using the Adding methodApplied Optics, 1982
- Influence of solar illumination angle on soybean canopy reflectanceApplied Optics, 1982
- Plant canopy information extraction from composite scene reflectance of row cropsApplied Optics, 1979
- Stage of Development Descriptions for Soybeans, Glycine Max (L.) Merrill1Crop Science, 1971