Recent Advances in Modeling the Infrared Temperature of Vegetation Canopies

Remote sensing of substrate moisture and the surface energy balance using surface infrared temperature measurements is much more difficult and complex over vegetation than over bare soil. Unlike those of bare soil, the radiometric temperature of a vegetation canopy is usually close to the air temperature just above the canopy. Leaf temperature does not rise very far above air temperature because the plant makes use of available water from a relatively deep substrate layer (the root zone). Leaf temperature, however, depends not only on water uptake from the root zone but on plant constraints and atmospheric demand. Moreover, radiometric canopy temperature depends on the radiance reaching the detector from bare soil around and beneath the plants.

[1]  J. C. Price Estimating surface temperatures from satellite thermal infrared data—A simple formulation for the atmospheric effect☆ , 1983 .

[2]  D. Vidal-Madjar,et al.  Evaluation of a Surface/Vegetation Parameterization Using Satellite Measurements of Surface Temperature , 1986 .

[3]  F. Bretherton,et al.  Cloud cover from high-resolution scanner data - Detecting and allowing for partially filled fields of view , 1982 .

[4]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[5]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[6]  Toby N. Carlson,et al.  A stomatal resistance model illustrating plant vs. external control of transpiration , 1990 .

[7]  S. Running,et al.  Relationship of thematic mapper simulator data to leaf area index , 1987 .

[8]  J. C. Price Estimating Evapotranspiration Over Large Areas , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[9]  P. J. Curran,et al.  Multispectral remote sensing for the estimation of green leaf area index , 1983, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[10]  Thomas J. Schmugge,et al.  Remote estimation of soil moisture availability and fractional vegetation cover for agricultural fields , 1990 .

[11]  N. Turner RESPONSE OF ADAXIAL AND ABAXIAL STOMATA TO LIGHT , 1970 .

[12]  J. Deardorff Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation , 1978 .

[13]  N. Turner,et al.  Stomatal Behavior and Water Status of Maize, Sorghum, and Tobacco under Field Conditions: I. At High Soil Water Potential. , 1973, Plant physiology.

[14]  J. Harlan,et al.  Spectral estimation of Green leaf area index of oats , 1985 .

[15]  M. Bauer,et al.  Spectral estimators of absorbed photosynthetically active radiation in corn canopies. , 1985 .

[16]  I. R. Cowan Transport of Water in the Soil-Plant-Atmosphere System , 1965 .

[17]  N. Turner,et al.  Stomatal Behavior and Water Status of Maize, Sorghum, and Tobacco under Field Conditions: II. At Low Soil Water Potential. , 1974, Plant physiology.

[18]  S. Running,et al.  Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data , 1989 .

[19]  C. J. Tucker,et al.  Spectral assessment of soybean leaf area and leaf biomass , 1980 .