Modeling directional brightness temperature over a maize canopy in row structure

A study on modeling the variations of directional brightness temperature (DBT) for row-structure crops was carried out with the images captured by a large-aperture thermal infrared camera over a maize canopy. The model assumes that the DBT is a function of target component brightness temperatures an...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2004-10, Vol.42 (10), p.2290-2304
Hauptverfasser: Tao Yu, Xingfa Gu, Guoliang Tian, Legrand, M., Baret, F., Hanocq, J.-F., Bosseno, R., Yong Zhang
Format: Artikel
Sprache:eng
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Zusammenfassung:A study on modeling the variations of directional brightness temperature (DBT) for row-structure crops was carried out with the images captured by a large-aperture thermal infrared camera over a maize canopy. The model assumes that the DBT is a function of target component brightness temperatures and their directional fractions. The canopy has three brightness temperature components: the sunlit soil, the shaded soil, and the vegetation. Their fractions in the scene depend on the sun-view geometry and the distributions of gaps within and between plant rows. To describe canopy geometrical features, a series of porous hedgerows with a rectangular cross section is used. The directional variations of gap fractions are described by the Kuusk function. The model demonstrated how the features of DBT depend on the sun-view geometry, canopy geometrical structure, and component brightness temperatures. In the simulation of DBT over a middle-density canopy near the local noontime, the results revealed an evident row-direction-oriented hot stripe in DBT polar maps, where the hot spot appeared along the sun direction. The sensitivities of the model to the input parameters were tested. Further validation demonstrated a close correlation between predicted DBT and field observations.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2004.834196