Spectral analysis of radiation transmitted and reflected by different vegetations

Scott, Dorian N.; Menalda, P. H.; Brougham, R. W.

doi:10.1080/0028825x.1968.10428581

Cited by 27 publications

(13 citation statements)

References 11 publications

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“…There is nothing surprising about these spectra. The leaf radiance spectra are just what one would expect from the optical properties ofleaves (Gates et al 1965, Scott et al 1968, Federer 1970, Wooley 1971, Stoutjesdijk 1972a, Gausman and Allen 1973, Lee 1986, Lee and Graham 1986. The radiance spectrum of blue sky is similar to those of Rozenberg (1966), Kondratyev (1969), and Mc-Farland and Munz (1975a, Munz and Mc-Farland 1973.…”

Section: Light Sources Radiance and Irradiancementioning

confidence: 54%

“…I could not find published radiance spectra of clouds, but these results are expected from the optical properties of clouds discussed by Feigelson (1984), and Coulson's (1975) brightness data. The leaf radiance spectra are just what one would expect from the optical properties ofleaves (Gates et al 1965, Scott et al 1968, Federer 1970, Wooley 1971, Stoutjesdijk 1972a, Gausman and Allen 1973, Lee 1986, Lee and Graham 1986. These data are presented only for the purposes of explaining the qualitative relationship between forest geometry and ambient light color; a more detailed survey will be presented elsewhere.…”

Section: Light Sources Radiance and Irradiancementioning

confidence: 99%

“…Shirley ( 1929) may have been the first to point out that this light is primarily determined by the reflectance and transmission spectra ofleaves and the rest of the vegetation. The light is greenish because light transmitted through and reflected by leaves is richer in middle wavelengths (520-620 nm) than incident light (Gates et al 1965, Scott et al 1968, Federer 1970, Wooley 1971, Stoutjesdijk 1972a, Gausman and Allen 1973, Gates 1980, Lee 1986, Lee and Graham 1986. The data on radiance spectra of leaves measured in 26, 27 8,9, 10, 13, 16, 17, 18, 26,27 Large gaps, sunny and cloudy Same as Open areas…”

Section: Other Studies and Additional Observationsmentioning

confidence: 99%

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The Color of Light in Forests and Its Implications

Endler¹

1993

Ecological Monographs

1,069

1,064

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Forests exhibit much variation in light environments, and this can affect communication among animals, communication between animals and plants, photosynthesis, and plant morphogenesis. Light environments are caused by, and can be predicted from, the geometry of the light paths, the weather conditions, and the time of day. The structure of forests leads to four major light habitats when the sun is not blocked by clouds: forest shade, woodland shade, small gaps, and large gaps. These are characterized by yellow-green, blue-gray, reddish, and "white" ambient light spectra, respectively. When the sun is blocked by clouds, the spectra of these four habitats converge on that of large gaps and open areas, so the single light environment during cloudy weather will be called open/cloudy. An additional light environment (early/late) is associated with low sun angles (near dawn or dusk); it is purplish. Each light environment is well defined and was found in forests of Trinidad, Panama, Costa Rica, Australia, California, and Florida. Scattered literature references suggest similar patterns elsewhere in North America, Europe, and Java. Perceived colors of animals, flowers, and fruits depend upon the interaction between ambient light color and the reflectance color of the animal or plant parts. As a result, an animal or plant may have a different appearance in each environment, i.e., a color pattern may be relatively cryptic in some light environments while relatively conspicuous in others. This has strong implications for the joint evolution of visual signals and vision, as well as microhabitat choice. Plant growth and form may also be affected by variation in the color of forest light.

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Section: Light Sources Radiance and Irradiancementioning

confidence: 54%

Section: Light Sources Radiance and Irradiancementioning

confidence: 99%

Section: Other Studies and Additional Observationsmentioning

confidence: 99%

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The Color of Light in Forests and Its Implications

Endler¹

1993

Ecological Monographs

1,069

1,064

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“…Incoming Qp measurements, as previously mentioned, were obtained with a LI-190SZ quantum sensor positioned above the canopy. The reflectance of Qp was assumed to be low (Scott et al, 1968) and therefore was not included in the determination of the intercepted radiation. The canopy intercepted radiation was assumed to be the difference between the above and below canopy measurements.…”

Section: Methodsmentioning

confidence: 99%

Estimating potato leaf area index for specific cultivars

Brown

Dixon

1997

Potato Res

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SummaryThe growth and duration of crop leaf area determines the amount of solar radiation intercepted by the canopy and therefore influences the extent of photosynthesis, evaporation, transpiration and final dry matter yield. The objective of this study was to develop cultivar specific relationships to estimate the daily leaf area index (LAI) for the potato crop (Solanum tuberosum L.) that included the effects of available soil water. The model is divided into three LAI growth stages, the durations of which are partially related to potato heat units (PJ-IU). The LAI in the first stage is estimated from a cultivar specific leaf area-based radiation use efficiency index with a soil water reduction factor. The second stage involves the maintenance of a constant LAI with the duration related to both PHU and a soil water index that can accelerate senescence. The final stage includes a decrease in the LAI from a maximum to zero in response to a cultivar specific PHU accumulation.Model simulations compared favourably with independent LAI measurements obtained with a LI-COR plant canopy analyzer over two seasons.

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“…In the latter, part of the radiation is trapped by multiple reflection. There is a progressive decrease in available energy from the top of the canopy downward, with that attenuation being different for visible and near infrared regions of the spectrum (Allen and Brown, 1965;Kumura, 1969;Scott et , 1968). Allen and Brown have shown also that attenuation within a plant canopy depends upon sun angle.…”

Section: Basic Interactions Between Energy and Mattermentioning

confidence: 99%

Application of LANDSAT-1 data to crop area and yield estimates, forest identification, and soil classification in Iowa

Aspiazu

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Spectral analysis of radiation transmitted and reflected by different vegetations

Cited by 27 publications

References 11 publications

The Color of Light in Forests and Its Implications

The Color of Light in Forests and Its Implications

Estimating potato leaf area index for specific cultivars

Application of LANDSAT-1 data to crop area and yield estimates, forest identification, and soil classification in Iowa

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