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Multi-angular Thermal Infrared Observations of Terrestrial Vegetation

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Advances in Land Remote Sensing

This chapter reviews the experimental evidence on the anisotropy of emittance by the soilvegetation system and describes the interpretation of this signal in terms of the thermal heterogeneity and geometry of the canopy space. Observations of the dependence of exitance on view angle by means of ground-based goniometers, airborne and space-borne imaging radiometers are reviewed first to conclude that under most conditions a two-components, i.e., soil and foliage, model of observed Top Of Canopy (TOC) brightness temperature is adequate to interpret observations. Particularly, airborne observations by means of the Airborne Multi-angle TIR/VNIR Imaging System (AMTIS) and space-borne observations by means of the Along Track Scanning Radiometers (ATSR-s) are described and examples presented. Modeling approaches to describe radiative transfer in the soil- vegetation-atmosphere system, with emphasis on the thermal infrared region, are reviewed. Given the dependence of observed TOC brightness temperature on leaflevel radiation and heat balance, energy and water transfer in the soil-vegetation- atmosphere system must be included to construct a realistic model of exitance by soil-vegetation systems. A detailed modeling approach of radiation, heat and water transfer is first described then applied to generate realistic, multi-angular image data of terrestrial landscapes. Finally, a generic algorithm to retrieve soil and foliage component temperatures from Top Of Atmosphere (TOA) radiometric data is described. Column water vapor and aerosols optical depth are estimated first, to obtain TOC radiometric data from the TOA multi-angular and multi-spectral observations.

Then vegetation fractional cover and soil and foliage component temperatures are determined by inverting a simple two-components mixture model. The accuracy of all elements of the algorithm is evaluated by using a combination of actual measurements and synthetic radiometric data. Although applicable to multi-angular radiometric data irrespective of spatial resolution, the approach presented would be particularly relevant if space-borne observations with a footprint of 100×100m or better would be available. Observing systems, presently at the design stage, with this capability are briefly described.

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Author information

Authors and Affiliations

  1. University Louis Pasteur, Strasbourg, France

    Massimo Menenti

  2. Alterra Green World Research, Wageningen University and Research Centre, Wageningen, Netherlands

    Li Jia

  3. Institute of Geographic Sciences and Natural Resources Research, Beijing, China

    Zhao-Liang Li

Authors
  1. Massimo Menenti
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  2. Li Jia
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  3. Zhao-Liang Li
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Editors and Affiliations

  1. University of Maryland, College Park, MD, USA

    Shunlin Liang

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Menenti, M., Jia, L., Li, ZL. (2008). Multi-angular Thermal Infrared Observations of Terrestrial Vegetation. In: Liang, S. (eds) Advances in Land Remote Sensing. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6450-0_4

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