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A model for inferring canopy and underlying soil temperatures from multi-directional measurements

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Abstract

Thermal emission is modeled from a canopy/soil surface, where the soil and the leaves are at different temperatures,T g andT c respectively. The temperatureT m corresponding to a radiometer reading is given by

$$B_\lambda (T_m ) = \chi B_\lambda (T_g ) + (1 - \chi )B_\lambda (T_c ) ,$$

whereB λ denotes the Planck blackbody function at wavelength λ, χ specifies the fraction of the field of view occupied by the soil at a given view direction, and an emissivity of 1.0 is assumed for the plants and the soil. The dependence of the soil-fraction χ on the view direction and the structure is expressed by the viewing-geometry parameter, which allows for concise and simple formulation. We observe from our model that at large view zenith angles, only the plants are effectively seen (that is, χ tends to zero), and thereforeT c can be determined from observations at large zenith angles, to the extent that such observations are practical. Viewing from the zenith, χ = exp(-L hc), whereL hc is the projection of the canopy leaf-area (per unit surface area) on a horizontal plane. For off-zenith observations, the soil-fraction χ depends on the distribution in the azimuth of the projected areas of various leaf categories, in addition to the dependence on the sum total of these projections,L hc.L hc, rather than the leaf-area index, emerges as the parameter characterizing the optical thickness of the canopy. Inferring bothT c andT g from observations from the zenith and from large zenith angles is possible ifL hc is known from other measurements. Drooping of leaves under water-stress conditions affects the observed temperatureT m in a complicated way because a leaf-inclination change produces a change inL hc (for the same leaf area) and also a change in the dependence of χ on the view direction. Water stress can produce an increase of the soil-fraction χ and thus tends to produce an exaggerated increase in the observed temperature compared to the actual increase in canopy temperature. These effects are analyzed for a simulated soybean canopy.

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References

  • Anton, J. A. and Ross, J. K.: 1987, ‘Emissivity of the Vegetation-Soil System’,Soviet Journal of Remote Sensing,5, 49–55 (In Russian, with an English summary).

    Google Scholar 

  • Blad, B. L. and Baker, D. G.: 1972, ‘Orientation and Distribution of Leaves within a Soybean Canopy’,Agron. J. 64, 26–29.

    Google Scholar 

  • Blad, B. L. and Rosenberg, N. J.: 1976, ‘Evaluation of Resistance and Mass Transport Evapotranspiration Models Requiring Canopy Temperature Data’,Agron. J. 68, 764–769.

    Google Scholar 

  • Deering, D. V. and Leone, P.: 1986, ‘A Sphere-Scanning Radiometer for Rapid Directional Measurements of Sky and Ground Radiance’,Remote Sens. Env. 19, 1–24.

    Article  Google Scholar 

  • Fuchs, M., Kanemasu, E. T., Kerr, J. P., and Tanner, C. B.: 1967, ‘Effect of Viewing Angle on Canopy Temperature Measurement with Infrared Thermometers’,Agronomy Journal 59, 494–496.

    Google Scholar 

  • Idso, S. B., Jackson, R. D., and Reginato, R. J.: 1977, ‘Remote Sensing of Crop Yields’,Science 196, 19–25.

    Google Scholar 

  • Idso, S. B., Jackson, R. D., Ehrler, W. L., and Mitchell, S. T.: 1969, ‘A Method for Determination of Infrafed Emittance of Leaves’,Ecology 50, 899–902.

    Google Scholar 

  • Jackson, R. D.: 1982, ‘Canopy Temperature and Crop Water Stress’, in D. Hillel (ed.),Advances in Irrigation, vol. 1, Academic Press, New York, pp. 43–85.

    Google Scholar 

  • Kimes, D. S.: 1980, ‘Effects of Vegetation Canopy Structure on Remotely Sensed Canopy Temperatures’,Remote Sens. Env. 10, 165–174.

    Article  Google Scholar 

  • Kimes, D. S. and Kirchner, J. A.: 1983a, ‘Directional Radiometric Measurements of Row-Crop Temperature’,Int. J. Remote Sensing 4: 299–311.

    Google Scholar 

  • Kimes, D. S. and Kirchner, J. A.: 1983b, ‘Diurnal Variations of Vegetation Canopy Structure’,Int. J. Remote Sensing 4, 257–271.

    Google Scholar 

  • Monteith, J. L.: 1973,Principles of Environmental Physics, Edward Arnold, London.

    Google Scholar 

  • Norman, J. M. and Campbell, G. S.: 1989, ‘Canopy Structure’, in: R. W. Pearey, J. Ehleringer, H. A. Mooney and P. W. Runder (eds.),Plant Physiological Ecology: Field Methods and Instrumentation, Chapman and Hall Publ., pp. 301–325.

  • Norman, J. M., Chen, J., and Goel, N.: 1990, ‘Thermal Emissivity and Infrared Temperature Dependence of Plant Canopy Architecture and View Angle’, IGARSS, 1990.

  • Otterman, J.: 1990, ‘Inferring Parameters for Canopies Non-Uniform in Azimuth by Model Inversion’,Remote Sens. Environ. 33, 41–53.

    Article  Google Scholar 

  • Otterman, J. and Brakke, T. W.: 1991, ‘Dense Canopy Albedo as a Function of Illumination Direction’,Theor. Appl. Climatol. 43, 3–16.

    Article  Google Scholar 

  • Otterman, J. and Tucker, C. J.: 1985, ‘Satellite Measurements of Surface Albedo and Temperatures in Semi Desert’,J. Climate Appl. Meteorol. 4, 228–235.

    Article  Google Scholar 

  • Penman, H. L.: 1948, ‘Natural Evaporation from Open Water, Bare Soil and Grass’,Proc. Soc. London, Ser. A,193, 120–145.

    Google Scholar 

  • Ranson, K. J., Biehl, L. L., and Daughtry, C. S. T.: 1984, ‘Soybean Canopy Reflectance Modeling Data Sets’, Laboratory for Applications of Remote Sensing, LARS Report 071584, Purdue University, Lafayette, Indiana.

    Google Scholar 

  • Salisbury, J. W. and Milton, N. M.: 1988, ‘Thermal Infrared (2.5 to 13.5 μm) Directional Hemispheric Reflectance of Leaves’,Photogrammetric Engineering and Remote Sensing 54, 1301–1304.

    Google Scholar 

  • Schmugge, T., Becker, F., and Li, Z.-L.: 1990, ‘Spectral Emissivity Variations Observed in Airborne Surface Temperature Measurements’,Remote Sens. Environ. 35, 95–104.

    Article  Google Scholar 

  • Schmugge, T. and Janssen, L.: 1988, ‘Aircraft Remote Sensing in HAPEX’, Proceedings of the 4th International Colloquium on Spectral Signatures of Objects in Remote Sensing held at Aussois, France, 18–22 January 1988, European Space Agency ESA SP-287.

  • Uhl, J. B., Barker, J. L., McMurtrey III, J. E., and Elgin Jr., J. H.: 1979, ‘Multicrop, Thermodynamic, Microclimatic, Agronomic and Spectral Measurements under Constant Climatic and Soil Conditions’, Beltsville Agricultural Research Center.

  • Wolfe, W. L. and Zissis, G.: 1978, ‘The Infrared Handbook’, Department of the Navy, Washington, DC.

    Google Scholar 

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Otterman, J., Brakke, T.W. & Susskind, J. A model for inferring canopy and underlying soil temperatures from multi-directional measurements. Boundary-Layer Meteorol 61, 81–97 (1992). https://doi.org/10.1007/BF02033996

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