DocumentCode :
1137129
Title :
Modeling directional brightness temperature over a maize canopy in row structure
Author :
Yu, Tao ; Gu, XingFa ; Tian, Guoliang ; Legrand, Michel ; Baret, Frédéric ; Hanocq, Jean-François ; Bosseno, Roland ; Zhang, Yong
Author_Institution :
State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Volume :
42
Issue :
10
fYear :
2004
Firstpage :
2290
Lastpage :
2304
Abstract :
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.
Keywords :
atmospheric radiation; crops; infrared imaging; radiative transfer; vegetation mapping; DBT polar maps; GORT model; Kuusk function; Sun direction; Sun-view geometry; canopy geometrical features; canopy geometrical structure; component brightness temperatures; directional brightness temperature modeling; directional brightness temperature variations; directional fractions; directional variations; gap distributions; gap fractions; geometrical optical and radiative transfer; image capture; large-aperture thermal infrared camera; maize canopy; middle-density canopy; plant rows; porous hedgerows; rectangular cross section; row structure; row-direction-oriented hot stripe; row-structure crops; shaded soil; sunlit soil; vegetation; Brightness temperature; Cameras; Crops; Geometry; Infrared imaging; Layout; Soil; Solid modeling; Sun; Vegetation mapping; DBT; Directional brightness temperature; GORT; geometric optical and radiative transfer; maize canopy; model; row structure;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.834196
Filename :
1344180
Link To Document :
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